From georg.dorffner at meduniwien.ac.at Mon Jan 2 12:12:10 2017
From: georg.dorffner at meduniwien.ac.at (Georg Dorffner)
Date: Mon, 2 Jan 2017 18:12:10 +0100
Subject: Connectionists: Postdoc faculty position in digital health /
biomedical informatics in Vienna
Message-ID: <586A89EA.1020009@meduniwien.ac.at>
Applications are invited from suitably qualified candidates for a
full-time faculty position (postdoc)at the Section for Artificial
Intelligence and Decision Supportat the Medical University of Vienna,
Austria. The position can be filled starting with February 1, 2017.
The position
We seek outstanding candidates passionate about creating the next
generation of computational tools to benefit the lives of patients
around the world. This can span the entire spectrum of health
information ranging from molecular and genomic all the way to clinical,
epidemiological, environmental and social.
Creativity as well as a proactive stance on solving problems and
developing new ideas across disciplines are welcome. Speaking German is
not required, but fluency in English (written and spoken) is a must.
The position is initially limited to 5 years. The current gross salary
for this position is 3.590,70 Euro (paid 14x per year).
Requirements
*
Doctoral degree in (biomedical) informatics, biomedical engineering
or a similar technical discipline with a focus on computer science,
*
Expertise in biomedical informatics and/or the application of
information technologies in the medical domain (?digital medicine?),
*
Excellent scientific track-record including publications as first
author / corresponding author in international scientific journals,
*
Interest in research and teaching in medical informatics.
*
Optionally (but of advantage): Experience with acquiring research
funding.
Non-EU citizens must meet legal requirements for employment.
The workplace
The Section for Artificial Intelligence and Decision Support
is part of the Medical University of
Vienna and is associated with the
Vienna General Hospital, one of the largest university clinics in the
world, facilitating the scientific collaboration with a large number of
co-located clinics, laboratories and research units. The city of Vienna
has the highest quality of life in the world according to Mercer's 2016
Quality of Living Index and offers a vibrant cultural scene.
How to apply
Applications are accepted until January 18, 2017. Applications need to
be made via e-mail to personalabteilung at meduniwien.ac.at
Please include the following in your application:
*
A curriculum vitae including a photo and a list of publications,
*
The signed application form, downloadable from
https://www.meduniwien.ac.at/web/fileadmin/content/serviceeinrichtungen/personalabteilung/stellenausschreibungen/bewerbungsformulare/Bewerbungsbogen_2016.pdf(pages
1-3 need to be filled; key number: ?23141/16?, Organisational unit:
?CeMSIIS?)
*
Scan of proof of education (doctoral / PhD degree),
*
Scan of a photo ID,
*
The key number (?Kennzahl?) of this job posting:23141/16.
Please contact Prof. Werner Horn (werner.horn at meduniwien.ac.at
) if you have further questions
about the position or need assistance with the application procedure.
The Medical University of Vienna seeks to increase the number of women
in leadership and research positions and strongly encourages women to
apply.
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From georg.dorffner at meduniwien.ac.at Mon Jan 2 12:12:15 2017
From: georg.dorffner at meduniwien.ac.at (Georg Dorffner)
Date: Mon, 2 Jan 2017 18:12:15 +0100
Subject: Connectionists: CFP,
16th Conference on Artificial Intelligence in Medicine (AIME 2017)
Message-ID: <586A89EF.6090106@meduniwien.ac.at>
*AIME 2017 16th Conference on Artificial Intelligence in Medicine*
*Vienna, Austria June 21-24, 2017*
AIME17 will be a unique opportunity to
present and improve the international state of the art of AI in medicine
from perspectives of theory, methodology, and application. We are happy
to announce our keynote speakers
: Stefan Schulz (University
Graz) and Kenneth Barker (T. J. Watson Research Center IBM).
Call for
papers
*Important dates*:
* Abstracts Submission Deadline: January 15, 2017
* Paper Submission: February 1, 2017
* Notification of Acceptance: March 13, 2017
* Final Camera Ready Copy: April 5, 2017
Call for workshop
&
Call for tutorial
*Important dates:*
* Proposal for Workshops:February 6, 2017
* Notification of Workshop/Tutorials: February 13, 2017
Call for PhD
consortium
*Important dates:*
* Paper Submission: March 13, 2017
* Notification of Acceptance: April 21, 2017
* Final Camera Ready Copy: May 14, 2017
Scope of AIME:
Contributions to theory and methods should present or analyze novel AI
theories or methodologies for solving problems in the biomedical field.
It is equally possible to present new theories and methods or extensions
of existing ones. In both cases, the work should demonstrate its utility
for solving biomedical problems and highlight its contribution to the
underlying theoretical basis. In addition, assumptions and limitations
should be discussed, and novelty with respect to the state of the art.
Contributions addressing systems and applications should describe the
development, implementation or evaluation of innovative, AI-based tools
and systems in the biomedical application domain. These papers should
both link the work to underlying theory, and either analyse the
potential benefits to solve biomedical problems or present empirical
evidence of benefits in clinical practice.
The scope of the conference includes the following areas:
* Big Data Analytics in medical domain
* Biomedical Knowledge Acquisition and Knowledge Management
* Clinical Decision Support Systems
* AI methods in Telemedicine and eHealth
* Behavior Medicine
* Patient Engagement Support (Personal Health Record)
* Machine Learning, Knowledge Discovery and Data Mining
* Case-based Reasoning in Biomedicine
* Biomedical Ontologies and Terminologies
* Document Classification and Information Retrieval
* Bayesian Networks and Reasoning Under Uncertainty
* Biomedical Imaging and Signal Processing
* Temporal and Spatial Representation and Reasoning
* Visual Analytics in Biomedicine
* Computerized Clinical Practice Guidelines and Protocols
* Natural Language Processing
* Fuzzy Logic
* Healthcare Process and Workflow Management
* AI solutions for Ambient Assisted Living
We are grateful for the commitment of the experts in the Program
Committee .
Kind regards,
The AIME?17 organising team
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From cgf at isep.ipp.pt Mon Jan 2 12:08:02 2017
From: cgf at isep.ipp.pt (Carlos Ferreira)
Date: Mon, 2 Jan 2017 17:08:02 +0000
Subject: Connectionists: CFP : Workshop on Data Mining for Oil & Gas
Message-ID: <0a16dcda-1d90-de88-b307-9676a691b192@isep.ipp.pt>
Workshop on Data Mining for Oil & Gas
The Westin Galeria Houston, Texas, USA
http://dm4og.inesctec.pt
** SUBMISSION DEADLINE EXTENDED: January 5, 2017**
**Call for Papers**
The process of exploring and exploiting Oil and Gas (O&G) generates a lot of data that can bring more efficiency to the industry. Although there are several examples of research papers on data mining and soft computing applications in the O&G related sciences, the opportunities for using data mining techniques in the "digital oil-field" remain largely unexplored or uncharted. The significant challenges posed by this complex and economically vital field justify a meeting of data scientists that are willing to share their experience and knowledge.
Hosted at SIAM?s International Conference on Data Mining (SDM 2017), this workshop aims at bringing together researchers and practitioners from data science, data mining, forecasting, geophysics, petrochemistry, marine and petroleum geology, applied mathematics, and other disciplines, to explore the utilization of data mining techniques to develop intelligent solutions for O&G related modeling and optimization problems.
The **topics of interest** include, but are not limited to:
* the accurate positioning of structures (salt and overthrust),
* the characterization of laminated sands and shales,
* prediction and evaluation of pressure in reservoirs,
* fault detection and classification,
* facies recognition,
* exploration in difficult areas,
* accurate depth imaging,
* fluid/permeability prediction,
* identification and classification of fractures,
* uncertainty quantification,
* environmental issues.
All submitted papers will go through a rigorous double-blind peer review process, and the workshop proceedings will be published in electronic format, with CEUR-WS (indexed by DBLP, as well as Scopus).
Full papers should have between 5 and 15 pages, including references. Only original papers, i.e., that have not been published in an earlier workshop or conference, will be accepted.
Extended abstracts (between 2 and 4 pages) are also accepted for work in progress, early projects, software demos, industrial applications, or any relevant issue more appropriately addressed in this format.
Accepted full papers will be given approximately 20 minutes for presentation, plus time for discussion. Selected extended abstracts will have approximately 10 minutes for presentation, plus time for discussion.
In order to produce the PDF, we provide a LaTex template, and an example with author guidelines, at goo.gl/nom2KL.
The manuscripts must be submitted through the DM4OG EasyChair submissions site at https://goo.gl/1kUqXr.
**Important Dates**
Submission deadline: December 23, 2016
*Extended Submission Deadline*: January 5, 2017
Author Notification: January 25, 2017
SDM Conference: April 27-29, 2017
SDM 2017 homepage: http://www.siam.org/meetings/sdm17/
**Organizing Committee**
Al?pio Jorge, University of Porto, Portugal
German Larrazabal, Repsol USA, Houston, Texas, USA
Pablo Guillen, University of Houston, Texas, USA
Rui L. Lopes, INESC TEC, Porto, Portugal
***
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. Ant?nio Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail at isep.ipp.pt | www.isep.ipp.pt
From nikolaskaralis at gmail.com Sun Jan 1 11:16:30 2017
From: nikolaskaralis at gmail.com (Nikolas Karalis)
Date: Sun, 1 Jan 2017 17:16:30 +0100
Subject: Connectionists: Systems neuroscience mailing list
Message-ID:
Dear all,
I would like to inform you about a new mailing list targeted to researchers
in the wider field of Systems Neuroscience.
The aim is to create a platform for the distribution of useful information
such as job and conference calls.
More information about this mailing list can be found at the website:
www.systemsneuroscience.eu
You can directly subscribe by clicking this link
.
If you would like to advertise any job openings or events you are
organizing, please feel free to post to the mailing list by sending an
email to the address: systems-neuroscience at googlegroups.com
Kind regards,
Nikolas Karalis
--
Nikolas Karalis - http://www.nikolaskaralis.gr
Doctoral Candidate in Neuroscience - Ludwig-Maximilians Universit?t M?nchen
M.Sc. in Neuroscience (Charit?, Berlin & Universit? de Bordeaux II)
B.Sc, M.Sc in Applied Mathematics and Physics (NTUA)
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From terry at salk.edu Mon Jan 2 18:10:40 2017
From: terry at salk.edu (Terry Sejnowski)
Date: Mon, 02 Jan 2017 15:10:40 -0800
Subject: Connectionists: NEURAL COMPUTATION - January 1, 2017
In-Reply-To:
Message-ID:
Neural Computation - Volume 29, Number 1 - January 1, 2017
Available online for download now:
http://www.mitpressjournals.org/toc/neco/29/1
-----
Article
Active Inference: A Process Theory
Karl Friston, Philipp Schwartenbeck, Thomas FitzGerald,
Francesco Rigoli, and Giovanni Pezzulo
Letters
The Population Tracking Model: A Simple, Scalable Statistical Model
for Neural Population Data
Cian O'Donnell, J. Tiago Goncalves, Nick Whiteley, Carlos Portera-Cailliau,
Terrence J. Sejnowski
A Combinatorial Model for Dentate Gyrus Sparse Coding
William Severa, Ojas Parekh, Conrad D James, and James B. Aimone
Analytical Calculation of Mutual Information Between Weakly Coupled
Poisson-Spiking Neurons in Models of Dynamically Gated Communication
Jonathan Cannon
On the Mathematical Consequences of Binning Spike Trains
Bruno Cessac, Arnaud Le Ny, and Eva Loecherbach
Orientation Histogram-based Center-surround Interaction:
An Integration Approach for Contour Detection
Rongchang Zhao, Min Wu, Xiyao Liu, Beiji Zou, and Li Fangfang
Fast Accurate Localization of Epileptic Seizure Onset Zones
Based on Detection of High-frequency Oscillations Using
Improved Wavelet Transform and Matching Pursuit Methods
Min Wu, Ting Wan, Xiongbo Wan, Yuxiao Du, and Jinhua She
Online Reinforcement Learning Using a Probability Density Estimation
Alejandro Agostini, Enric Celaya
LSV-based Tail Inequalities for Sums of Random Matrices
Chao Zhang, Lei Du, and Dacheng Tao
Improving the Incoherence of a Learned Dictionary via Rank Shrinkage
Shashanka Ubaru, Abd-Krim Seghouane, and Yousef Saad
------------
ON-LINE -- http://www.mitpressjournals.org/neuralcomp
SUBSCRIPTIONS - 2017 - VOLUME 29 - 12 ISSUES
Student/Retired $80
Individual $142
Institution $1,141
MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu
------------
From dwang at cse.ohio-state.edu Tue Jan 3 22:40:21 2017
From: dwang at cse.ohio-state.edu (DeLiang Wang)
Date: Tue, 3 Jan 2017 22:40:21 -0500
Subject: Connectionists: NEURAL NETWORKS, Jan. 2017
Message-ID:
Neural Networks - Volume 85, Jan. 2017
http://www.journals.elsevier.com/neural-networks
Editorial: Promoting Further Developments of Neural Networks
A modular architecture for transparent computation in recurrent neural
networks
Giovanni S. Carmantini, Peter beim Graben, Mathieu Desroches, Serafim
Rodrigues
Recovering low-rank and sparse matrix based on the truncated nuclear norm
Feilong Cao, Jiaying Chen, Hailiang Ye, Jianwei Zhao, Zhenghua Zhou
An online incremental orthogonal component analysis method for
dimensionality reduction
Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao
Attribute-based Decision Graphs: A framework for multiclass data
classification
Joao Roberto Bertini Junior, Maria do Carmo Nicoletti, Liang Zhao
Pinning-controlled synchronization of delayed neural networks with
distributed-delay coupling via impulsive control
Wangli He, Feng Qian, Jinde Cao
Complete stability of delayed recurrent neural networks with Gaussian
activation functions
Peng Liu, Zhigang Zeng, Jun Wang
Mittag-Leffler stability of fractional-order neural networks in the
presence of generalized piecewise constant arguments
Ailong Wu, Ling Liu, Tingwen Huang, Zhigang Zeng
Finite-time synchronization of uncertain coupled switched neural
networks under asynchronous switching
Yuanyuan Wu, Jinde Cao, Qingbo Li, Ahmed Alsaedi, Fuad E. Alsaadi
Stabilization of metastable dynamical rotating waves in a ring of
unidirectionally coupled sigmoidal neurons due to shortcuts
Yo Horikawa
Synchronization of discrete-time neural networks with delays and Markov
jump topologies based on tracker information
Xinsong Yang, Zhiguo Feng, Jianwen Feng, Jinde Cao
Developmental metaplasticity in neural circuit codes of firing and
structure
Yoram Baram
Evaluation of extreme learning machine for classification of individual
and combined finger movements using electromyography on amputees and
non-amputees
Khairul Anam, Adel Al-Jumaily
Echo State Networks for data-driven downhole pressure estimation in
gas-lift oil wells
Eric A. Antonelo, Eduardo Camponogara, Bjarne Foss
A limit-cycle self-organizing map architecture for stable arm control
Di-Wei Huang, Rodolphe J. Gentili, Garrett E. Katz, James A. Reggia
From brandon.minnery at wright.edu Tue Jan 3 10:22:57 2017
From: brandon.minnery at wright.edu (Minnery, Brad)
Date: Tue, 3 Jan 2017 15:22:57 +0000
Subject: Connectionists: job opening: computational cognitive scientist
Message-ID:
Dear Colleagues,
The Wright State Research Institute (WSRI), a component of Wright State University in Dayton Ohio, is hiring a Computational Cognitive Scientist with expertise in the areas of human and machine learning. Interested applicants can apply here: https://jobs.wright.edu/postings/11106
This is an excellent opportunity for someone who recently received their PhD and is seeking a career path outside the traditional academic route, but who values the intellectual dynamism of a university environment. Because WSRI is a relatively young organization, this is also a great opportunity for a motivated individual to get in on the ground floor and help shape the future research direction of WSRI's cognitive science portfolio. We are especially interested in candidates who possess a high degree of self-direction and who are willing to grow into a leadership role over time.
The Computational Cognitive Scientist (CCS) position is a full time, permanent position. Initially, the CCS will conduct research in support of an Ohio state-funded project called Human-Centered Big Data, which aims to make "black box" machine learning systems -- including, but not limited to, deep neural nets -- more transparent to human users. The CCS will also have the opportunity to contribute to a wide range of other projects focused on modeling and improving human cognition at both the individual and group levels.
Applicants must be US citizens.
Further inquiries can be made directly to: brandon.minnery at wright.edu
Brandon Minnery, Ph.D.
Director of Research
Wright State Research Institute
Wright State University
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From aurel at ee.columbia.edu Tue Jan 3 20:40:03 2017
From: aurel at ee.columbia.edu (Aurel A. Lazar)
Date: Tue, 3 Jan 2017 20:40:03 -0500
Subject: Connectionists: Columbia Workshop on Brain Circuits,
Memory and Computation 2017
Message-ID: <564B458F-E689-4DD0-BBED-B10482270F36@ee.columbia.edu>
Columbia Workshop on Brain Circuits, Memory and Computation 2017
BCMC 2017
March 13-14, 2017
Center for Neural Engineering and Computation
Columbia University, New York, NY, USA
Overview
The goal of the workshop is to bring together researchers interested in developing
executable models of neural computation/processing of the brain of model organisms.
Of interest are models of computation that consist of elementary units of processing
using brain circuits and memory elements. Elementary units of computation/processing
include population encoding/decoding circuits with biophysically-grounded neuron models,
non-linear dendritic processors for motion detection/direction selectivity, spike processing
and pattern recognition neural circuits, movement control and decision-making circuits, etc.
Memory units include models of spatio-temporal memory circuits, circuit models for memory
access and storage, etc. A major aim of the workshop is to explore the integration of various
sensory and control circuits in higher brain centers.
A Fruit Fly Brain Hackathon is being conducted in conjunction with the workshop.
Workshop participants are welcome to attend the hackathon.
Organizer and Program Chair
Aurel A. Lazar , Department of Electrical Engineering, Columbia University.
Program Overview (Confirmed Speakers)
Dinu Florin Albeanu , Cold Spring Harbor Laboratory, Cold Spring Harbor, NY.
Vijay Balasubramanian , Department of Physics, University of Pennsylvania.
Albert Cardona , Janelia Research Campus, Ashburn, VA.
Ann-Shyn Chiang , National Tsing Hua University, Hsinchu, Taiwan.
Jonathan B. Demb , Yale School of Medicine.
Barry J. Dickson , Janelia Research Campus, Ashburn, VA.
Anmo J. Kim , Rockefeller University, New York.
Konrad P. Kording , Feinberg School of Medicine, Northwestern University.
Adam H. Marblestone , Synthetic Neurobiology Group, MIT.
Katherine I. Nagel , NYU Medical School.
Gerald M. Rubin , Janelia Research Campus, Ashburn, VA.
Silke Sachse , Max Planck Institute for Chemical Ecology, Jena.
Marion Silies , European Neuroscience Institute, G?ttingen.
Andreas S. Thum , Department of Biology, University of Konstanz.
Tim P. Vogels , Department of Physiology, Anatomy and Genetics, University of Oxford.
More information about BCMC 2017 can be found here .
Aurel
http://www.bionet.ee.columbia.edu
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From ruth.urner at gmail.com Wed Jan 4 04:55:28 2017
From: ruth.urner at gmail.com (Ruth Urner)
Date: Wed, 4 Jan 2017 10:55:28 +0100
Subject: Connectionists: Machine Learning Summer School 2017
Message-ID:
==========================================================================
Dear Colleagues,
we are happy to announce the upcoming
--------------------------------------------------------------------------
MACHINE LEARNING SUMMER SCHOOL
at the Max Planck Institute for Intelligent Systems in T?bingen, Germany
June 19 to 30, 2017
http://mlss.tuebingen.mpg.de/2017/
--------------------------------------------------------------------------
Overview
--------------------------------------------------------------------------
The machine learning summer school provides graduate students and industry
professionals with an intense learning experience on the theory and
applications of modern machine learning. Over the course of two weeks,
a panel of internationally renowned experts of the field will offer
lectures and tutorials covering basic as well as advanced topics.
Confirmed Speakers
--------------------------------------------------------------------------
Shai Ben-David (U Waterloo) - Learning Theory
Zoubin Ghahramani (Cambridge) - Bayesian Inference
Manuel Gomez Rodriguez (MPI for Software Systems) - tutorial on Networks
Stefanie Jegelka (MIT) - Submodularity
Michael Jordan (UC Berkeley) - Distributed Architectures
Koray Kavukcuoglu (Deepmind) - Deep Learning for Agents
Jure Lescovec (Stanford) - Network Analysis
Ruslan Salakhutdinov (CMU) - Deep Learning
Suvrit Sra (MIT) - Optimization
Barath Srepurumpudur (PennState) - Kernel Methods
Raquel Urtasun (Toronto) - Deep Structured Models
Ilya Tolstikhin (MPI for Intelligent Systems) - tutorial on Theory
Ruth Urner (MPI for Intelligent Systems) - tutorial on Theory
Bernhard Sch?lkopf (MPI for Intelligent Systems) - Causality
Application process
--------------------------------------------------------------------------
Applications are invited from graduate students, postdoctoral researchers
and industry professionals looking to use, or already using machine
learning methods in their work. This includes researchers in applied
fields as well as students of machine learning itself. Prior experience
is not strictly required, but helpful. A small number of travel stipends
will be available.
Applicants will be asked to submit a CV, a cover letter of up to 2000
characters, and a short letter of recommendation from one referee of their
choice. We are also seeking to give participants a chance to discuss their
own work with their peers and the speakers. Each applicant is thus invited
to provide the title of a poster they would like to present at the school.
The application system is now open.
For more information visit
http://mlss.tuebingen.mpg.de/2017/application.html
Important Dates
--------------------------------------------------------------------------
* Fri, December 23, 2015 application system opens
* Fri, February 10, 2017 DEADLINE FOR APPLICATIONS
* Fri, February 17, 2017 deadline for reference letters
* Tue, February 28, 2017 notification of acceptance
The school will take place from
Monday, June 19 to Friday, June 30, 2017
Organizers
--------------------------------------------------------------------------
Ruth Urner, Michael Hirsch, Ilya Tolstikhin and Bernhard Sch?lkopf
inquiries should be directed to ruth.urner at tuebingen.mpg.de
==========================================================================
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From nikolaskaralis at gmail.com Wed Jan 4 06:29:34 2017
From: nikolaskaralis at gmail.com (Nikolas Karalis)
Date: Wed, 4 Jan 2017 12:29:34 +0100
Subject: Connectionists: Systems neuroscience mailing list
Message-ID:
Dear all,
I would like to inform you about a new mailing list targeted to researchers
in the wider field of Systems Neuroscience.
The aim is to create a platform for the distribution of useful information
such as job and conference calls.
More information about this mailing list can be found at the website:
www.systemsneuroscience.eu
You can directly subscribe by clicking this link
.
If you would like to advertise any job openings or events you are
organizing, please feel free to post to the mailing list by sending an
email to the address: systems-neuroscience at googlegroups.com
Kind regards,
Nikolas Karalis
--
Nikolas Karalis - http://www.nikolaskaralis.gr
Doctoral Candidate in Neuroscience - Ludwig-Maximilians Universit?t M?nchen
M.Sc. in Neuroscience (Charit?, Berlin & Universit? de Bordeaux II)
B.Sc, M.Sc in Applied Mathematics and Physics (NTUA)
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From timothee.masquelier at alum.mit.edu Wed Jan 4 11:16:01 2017
From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=)
Date: Wed, 4 Jan 2017 17:16:01 +0100
Subject: Connectionists: Master Internship + PhD at CerCo, Toulouse, France
Message-ID:
Beating Roger Federer:
*Modeling visual learning and expertise through a bioinspired neural
network embedded in an electronic device*
*Goal:* Internship for student in engineering school / Master degree?s
student. The project can lead to a PhD grant.
*When:* 5-6 months from February to July 2017
*Topic:* How do expert tennis players, like Roger Federer for example,
predict if a ball will bounce in or out the field to decide if it should be
played or not? After thousands of trajectory presentations, best champions
have developed extraordinary skills in such a task, but little is known on
how the visual system turns selective to spatiotemporal properties of the
visual stimulus (e.g., 3D position, velocity and acceleration) and learns
how to make an efficient use of it.
The goal of the project is to build an embedded system ? based on FPGA
circuits and ARM processor ? an artificial neural network which would
replicate ? and perhaps beat ? the visual and anticipatory performances of
these expert players.
To achieve this goal successfully, we will develop a bio-inspired neural
network, based on some of the key properties of human vision: the Smart
NeuroCam (GST company) will be used to reproduce the retina functioning. It
triggers its message under the form of spikes, in an asynchronous way
(without any concept of frame per second), responding to spatial or
temporal changes in the pattern of illumination. Several kinds of
pre-processing filters can be implemented in VHDL language directly in the
FPGA circuits, and the output is then sent to a neural network. The
artificial network will learn to use this message, applying a simple
learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule
allows each neuron to become selective to a particular property of the
stimulus, completely autonomously and with no supervision. Several layers
will be built to allow perceiving more and more complex properties of the
visual scene. Once the network will be established, its performances will
be assessed in different conditions of learning and compared to those of
the best tennis players.
*The project is funded by a French National Research Agency (ANR)*,
involving two sites and several researchers:
- Robin Baur?s, Benoit Cottereau, Timoth?e Masquelier and Simon Thorpe,
CerCo, Toulouse.
- Michel Paindavoine, GST, Dijon.
*Where: *The candidate will be based at CerCo, Toulouse (France), and will
make the interface with the two sites, with regular trips. The
computational neuroscience part will be done at Toulouse, and electronic
part at Dijon.
*Objectives for the engineering / Master internship:*
- Matlab (or Python) based simulations of numerical filters. These
filters will be applied to the image processing from which spikes are
generated and then sent to feed the neural network and STDP learning
mechanism.
- VHDL coding to implement these numerical filters into the FPGA
circuits of the cameras
- C/C++ coding of the neural network and STDP mechanism that should work
on an embedded ARM processor system
- Experimental tests that will allow evaluating the performance of the
whole system, from spikes generation to visual properties learning of the
embedded system, to predict tennis ball?s trajectories
*Required skills:*
- Strong knowledge on electronic, and openness to computational
neurosciences
- Knowledge in signal-image processing, and artificial neural network
- Interest for multidisciplinary research
- Ability to turn smoothly autonomous, once the road has been set
- Ability to be at the interface of two scientific fields and two
working areas
- Programming with Matlab and/or Python for simulating the neural network
- Programming in VHDL language for FPGA circuits
- Programming in C/C++ language for porting the algorithms on ARM
microprocessors
- French is not a requirement if fluent in English, but willingness to
learn would be beneficial
*Relevant publications for the project:*
- Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive
STDP-Based Spike Pattern Learning.Neural Comput, 21(5),1259-1276.
- Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual
features through spike timing dependent plasticity. PLoS Comput Biol,
3(2):e31.
- Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and
cortical distribution of neural responses to 2D and 3D motion in
human. Journal
of Neurophysiology 111(3), 533-543.
- SmartNeuroCam de GST : https://gsensing.eu/fr/c
ategory/sections/products
*Contact:*
*Robin Baur?s, PhD*
Associate Professor
CerCo, Universit? Toulouse 3, CNRS
CHU Purpan, Pavillon Baudot
31059 Toulouse Cedex 9 ? France
Office phone: 0033 (0)5 62 74 62 15 <05%2062%2074%2062%2015>
Email : robin.baures at cnrs.fr
*Pr Michel Paindavoine*
GlobalSensing Technologies
14, rue Pierre de Coubertin
21000 Dijon
email : michel.paindavoine at gsensing.eu
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From jimtoer at ifi.uio.no Thu Jan 5 08:39:54 2017
From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=)
Date: Thu, 5 Jan 2017 13:39:54 +0000
Subject: Connectionists: One Postdoc Fellowship in Machine Learning for
Mental Health Care Technology, University of Oslo, Norway
Message-ID:
One Postdoc Fellowship in Machine Learning for Mental Health Care Technology (2.5 years) in Department of Informatics, University of Oslo, Norway
The position is affiliated to the Robotics and Intelligent Systems group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/robin).
The goal of the Postdoc project is to develop a patient monitoring and support system using smartphone technology and built-in sensors as well as other on-body sensors that are relevant for capturing and classifying human behavior. This is with the goal of providing the user with the right interventions at the right time. It is a part of the Research Council of Norway funded project INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT, see www.intromat.no). The project ? led by Haukeland University Hospital, aims at developing technology that can analyse the user's voice, movement and other properties, and use that for modeling and predicting how these changes with the mental condition. Smartphone and wearables are relevant for data collection, and the system should provide the user with appropriate support and follow up schemes.
The fellowship will be for a period of two and a half years. The candidate will collaborate with a number of national partners in the project. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees.
Qualifications: Applicants must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in computer science including machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and machine learning/artificial intelligence. Moreover, knowledge in the fields of human behaviour tracking and analysis, sensor data analysis, biology-inspired techniques, behavior modeling, and app development would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed.
Pay grade (depending on qualifications and seniority):
Postdoc: NOK 512 700 ? 567 100 per year, approx.: ?56,000 ? 62,000 / $59,000 ? 65,000
Full announcement, see: http://uio.easycruit.com/vacancy/1761561/64290?iso=no
You apply by using the following link: https://uio.easycruit.com/vacancy/application/823cf20af1ad555668a2390141e00978/1761561/64290?iso=gb
Closing date for applications: 15th January, 2017
Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no
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From nteneva at uchicago.edu Wed Jan 4 23:42:45 2017
From: nteneva at uchicago.edu (Nedelina Teneva)
Date: Wed, 4 Jan 2017 22:42:45 -0600
Subject: Connectionists: CfP: 1st Workshop on Data Management for End-to-End
Machine Learning
Message-ID:
DEEM'17
The 1st Workshop on Data Management for End-to-End Machine Learning,
May 14, 2017.http://deem-workshop.orghttps://twitter.com/deem_workshop
Held in conjunction with ACM SIGMOD 2017
Raleigh, NC, USA, May 14-19, 2017http://sigmod2017.org/
----------
WORKSHOP
----------
Applying Machine Learning (ML) in real-world scenarios is a
challenging task. In recent years, the main focus of the database
community has been on creating systems and abstractions for the
efficient training of ML models on large datasets. However, model
training is only one of many steps in an end-to-end ML application,
and a number of orthogonal data management problems arise from the
large-scale use of ML, which require the attention of the data
management community.
Therefore, DEEM aims to bring together researchers and practitioners
at the intersection of applied machine learning, data management, and
systems research, with the goal to discuss the arising data management
issues in ML application scenarios. The workshop solicits *regular
research papers describing preliminary and ongoing research results*.
In addition, the workshop encourages the submission of *industrial
experience reports of end-to-end ML deployments*. Submissions can
either be *short papers (4 pages)* or *long papers (up to 10 pages)*
following the ACM proceedings format, as described in
https://www.acm.org/publications/proceedings-template.
Examples of data management problems in ML are as follows:
- Simultaneously executing relational and linear algebraic operations
in data preprocessing and feature extraction
- Choosing among popular classes of ML models (linear models,
decision trees, and deep neural networks)
- Executing costly offline evaluation processes for choosing features
and hyperparameters
- Deployment of models and integration into existing business workflows
- Fast and Efficient Online Predictions from trained ML Models
Areas of particular interest for the workshop include (but are not limited to):
- Data Management in Machine Learning Applications
- Definition, Execution, and Optimization of Complex ML Pipelines
- Systems for Managing the Lifecycle of Machine Learning Models
- Systems for Efficient Hyperparameter Search and Feature Selection
- Machine Learning Services in the Cloud
- Modeling, Storage, and Lineage of ML experimentation data
- Integration of Machine Learning and Dataflow Systems
- Integration of Machine Learning and ETL Processing
- Benchmarking of Machine Learning Applications
- Definition and Execution of Complex Ensemble Predictors
- Architectures for Streaming Machine Learning
---------------
INVITED TALKS
---------------
Matei Zaharia (Stanford/Databricks)
Arun Kumar (UCSD)
Xin Luna Dong (Amazon)
Ted Dunning (MapR)
Markus Weimer (Microsoft)
----------------
IMPORTANT DATES
----------------
Papers submission deadline: February 1, 2017
Authors notification: March 1, 2017
Deadline for camera-ready copy: March 20, 2017
Workshop: Sunday May 14th, 2017
----------------------
SUBMISSION GUIDELINES
----------------------
The workshop will have two tracks for regular research papers
(including research in progress) and industrial papers (e.g.,
industrial experience reports of end-to-end ML deployments).
Submissions can either be *short papers (4 pages)* or *long papers (up
to 10 pages)* following the ACM proceedings format, as described in
https://www.acm.org/publications/proceedings-template.
----------------
PUBLICATION
----------------
The workshop proceedings will be published in ACM DL and the
organizers will prepare a SIGMOD Record report.
---------------------------
ORGANIZERS
---------------------------
- Sebastian Schelter (Amazon)
- Reza Zadeh (Stanford & Matroid)
- Markus Weimer (Microsoft)
- Rajeev Rastogi (Amazon)
- Volker Markl (TU Berlin)
---------------------------
PROGRAM COMMITTEE
---------------------------
- Sunita Sarawagi (IIT Bombay)
- Sudip Roy (Google)
- Rainer Gemulla (University of Mannheim)
- Matthias Boehm (IBM Research)
- Matthias Seeger (Amazon)
- Evan Sparks (UC Berkeley)
- Chris R? (Stanford)
- Ted Dunning (MapR Technologies)
- Dionysios Logothetis (Facebook)
- Nedelina Teneva (University of Chicago)
- Vasia Kalavri (KTH Stockholm)
- Venu Satuluri (Twitter)
- Shannon Quinn (University of Georgia)
- Dmitriy Lyubimov (Apache Mahout)
- Tilmann Rabl (TU Berlin)
- Max Heimel (Snowflake)
- Felix Biessmann (Amazon)
- Arun Kumar (UC San Diego)
--
Nedelina Teneva
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From N.Poh at surrey.ac.uk Wed Jan 4 12:13:23 2017
From: N.Poh at surrey.ac.uk (N.Poh at surrey.ac.uk)
Date: Wed, 4 Jan 2017 17:13:23 +0000
Subject: Connectionists: PhD studentship on Machine Learning with
application to Healthcare Analytics (UK)
In-Reply-To:
References:
Message-ID:
Dear all,
We have a fully funded PhD studentship to advance machine learning algorithms with application to healthcare analytics, and specifically, electronic medical records.
You can find more information below:
https://jobs.surrey.ac.uk/vacancy.aspx?ref=096416
Please forward this to your students who might be interested.
Regards,
Dr Norman Poh
Dept of Computer Science,
University of Surrey,
UK
www.modellingCKD.org
https://goo.gl/silCA
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From U.Noppeney at bham.ac.uk Wed Jan 4 15:52:07 2017
From: U.Noppeney at bham.ac.uk (Uta Noppeney)
Date: Wed, 4 Jan 2017 20:52:07 +0000
Subject: Connectionists: PhD position, Neurocomputational Linguistics,
Uni Bham / Google Research London
Message-ID: <6bb2a4f6-c2ed-d302-7feb-efa23f4bc3d0@bham.ac.uk>
*PhD position in Neurocomputational Linguistics*
*University of Birmingham in collaboration with Google Research London*
Language comprehension is critical for effective interactions in our
social world. In order to understand ?who does what to whom? in natural
language processing, the brain needs to assign a syntactic structure to
every sentence ? a process coined ?syntactic parsing?.
This interdisciplinary project will combine expertise from human
neuroscience (University of Birmingham) and computational linguistics
(Google Research London) to determine the neural mechanisms underlying
sentence comprehension in the human brain and advance parsing algorithms
in machines. To study natural language processing and the underlying
neural mechanisms in humans, we will measure eye movements, behavioural
(psychophysics) and electrophysiological responses (EEG/fMRI) in
participants reading natural sentences from syntactically annotated
corpora. We will employ advanced machine learning algorithms to
characterize the computational operations and neural mechanisms
underlying syntactic processing in the human brain. Conversely, the
insights obtained from human neuroimaging (EEG/fMRI) and eye tracking
will provide critical constraints on the parameters and algorithms used
in machine.
The PhD position is designed to involve a 3 month internship at Google
Research London.
The Computational Cognitive Neuroimaging Group (Uta Noppeney) in
collaboration with Google Research London (Bernd Bohnet, Ryan McDonald)
is seeking an enthusiastic PhD candidate with strong analytical and
quantitative abilities. Applicants should have a background in
computational linguistics, neuroscience, computer science, psychology,
physics or related areas. Prior experience in statistical analysis
and/or machine learning would be an advantage.
The Computational Cognitive Neuroimaging Lab is based at the Department
of Psychology and the Computational Neuroscience and Cognitive Robotics
Centre of the University of Birmingham, UK. The centre provides an
excellent multidisciplinary, interactive and collaborative research
environment combining expertise in cognitive neuroimaging, psychophysics
and computational neuroscience. The psychology department was rated 5th
in the UK research assessment exercise.
http://www.birmingham.ac.uk/schools/psychology/research/labs/comp-cog-neuro/index.aspx
http://www.birmingham.ac.uk/research/activity/cncr/index.aspx
Applications will be considered until 8th January 2017. The starting
date is Sept/Oct 2017. iCASE students must fulfil the MIBTP entry
requirements and will join the MIBTP cohort for the taught modules and
masterclasses during the first term. They will remain as an integral
part of the MIBTP cohort and take part in the core networking activities
and transferable skills training. For further information, please
contact u.noppeney at bham.ac.uk .
Check eligibility and apply here:
https://www2.warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/application/
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From g.westermann at lancaster.ac.uk Thu Jan 5 09:56:47 2017
From: g.westermann at lancaster.ac.uk (Westermann, Gert)
Date: Thu, 5 Jan 2017 14:56:47 +0000
Subject: Connectionists: Two research associate posts on language in complex
cognition (including modelling) in Lancaster. UK
Message-ID: <108D4159-FE4A-44BF-B8FF-16A83EDF19BF@lancaster.ac.uk>
We are advertising two research associate posts to work on an ERC-funded project investigating the role of language in complex cognition, under the supervision of Dr. Louise Connell.
Details of the posts can be found via the links below, and the deadline for applications is 22 January 2017.
Senior Research Associate: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A1677
Research Associate: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A1678
Informal inquiries can be made by contacting Dermot Lynott (d.lynott at lancaster.ac.uk).
--------------------------------------------------------------------------
Prof. Gert Westermann
Department of Psychology
Lancaster University
Lancaster LA1 4YF
Phone: +44 (0)1524 592 942
g.westermann at lancaster.ac.uk
http://www.lancaster.ac.uk/psychology/people/gert-westermann
New book: Harris & Westermann: A Student?s Guide to Developmental Psychology. Psychology Press.
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From Pavis at iit.it Thu Jan 5 10:18:21 2017
From: Pavis at iit.it (Pavis)
Date: Thu, 5 Jan 2017 15:18:21 +0000
Subject: Connectionists: Postdoc position in Computer Vision for 3D mapping
and scene understanding - 72847
In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C88781A2F6B@IITMXWGE015.iit.local>
References: <0E09F354EB71FC40A4D51EE54D8A9C88781A2F6B@IITMXWGE015.iit.local>
Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C88781A2F83@IITMXWGE015.iit.local>
Postdoc position in Computer Vision for 3D mapping and scene understanding - [ Postdoc ] - 72847
The Visual Geometry and Modelling (VGM) Lab at IIT invites qualified applicants to submit their CV?s for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue.
The VGM Lab mission is to provide computational tools for the large-scale understanding of data, this being sensed at the nano and up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners).
The scientific core of the lab is related to the research fields of Computer Vision, Signal Processing and Numerical Optimization with the primary goal to provide algorithms for:
Reality Capture: 3D reconstruction from images, sound and range data;
Dynamic scene understanding from sensor networks (video and audio);
Large scale data clustering and modelling for Life Science and Engineering.
Expertise in these research fields is applied to several practical problems in the industry with ongoing collaboration with world-leading companies in machine vision, automation, avionics and photonics.
VGM is opening a postdoc position to work on 3D mapping and structure from motion with RGBD sensors. The aim is to create an autonomous 3D reconstruction system for indoor environments by using an active camera attached to a robotic arm. The system will be working in challenging scenarios dealing with severe occlusions and sensor noise in a fully autonomous way. Candidates should have strong programming skills in C/C++ and a general knowledge of ROS software libraries. Proven scientific track record on major computer vision and robotics conferences/journals is also a relevant criteria for the selection.
This project will be managed in collaboration with an international industrial partner delivering state-of-the-art machine vision applications.
The candidate will be also involved in project meeting, and submission of papers at top-tier computer vision and robotics conferences.
At the time of the application eligible candidates have a Ph.D. degree in Computer Vision, Engineering, Robotics and related fields.
Please send the application, including a CV with publication list, brief description of research interests and main accomplishments and 2 reference letters to applications at iit.it, quoting ?Postdoc VGM position BC 72847 ? in the email subject, by February 5, 2017.
Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.
In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
From rkozma at cs.umass.edu Thu Jan 5 11:26:13 2017
From: rkozma at cs.umass.edu (Robert Kozma)
Date: Thu, 05 Jan 2017 11:26:13 -0500
Subject: Connectionists: Postdoc Position at UMass Amherst BINDS Lab
Message-ID:
Hi Connectionist,
Please display the following open position announcement.
Thank you, Robert
+++++++++++++++++++++
Ad Text follows below
+++++++++++++++++++++
The BINDS (Biologically Inspired Neural and Cognitive Systems) Lab
in the College of Information and Computer Sciences at
UMass Amherst is looking for two outstanding, highly motivated
postdoctoral researchers to work in the fields of _superior artificial
intelligence and brain inspired artificial intelligence._
The positions are offered within the current goals of the BINDS lab -
creating intelligent systems, developing better learning algorithms,
theories, and advanced neural networks, as well as search for
inspirations from biological systems, and design future computation
paradigm in math and hardware. In addition, we also create better
technology for human-computer interactions.
More details about the position and the application process can be
found at http://umass.interviewexchange.com/candapply.jsp?JOBID=77715
The University of Massachusetts Amherst is an Affirmative Action/Equal
Opportunity Employer of women, minorities, protected veterans, and
individuals with disabilities and encourages applications from these
and other protected group members.
++++++++++++++
end of ad text
++++++++++++++
--
Robert Kozma, PhD, Fellow IEEE, Fellow INNS
President-Elect INNS (2016)
Visiting Professor, Co-Director
BINDS, Biologically Inspired Neural & Dynamical Systems
276 CS, Department of Computer Science
University of Massachusetts Amherst
Amherst, MA 01003, USA
Phone: (+1) 413-577-4282
Email: rkozma at cs.umass.edu
URL: www.cics.umass.edu/person/kozma-robert
From erik at oist.jp Thu Jan 5 20:44:40 2017
From: erik at oist.jp (Erik De Schutter)
Date: Fri, 6 Jan 2017 01:44:40 +0000
Subject: Connectionists: Applications open for Okinawa/OIST Computational
Neuroscience Course 2017
Message-ID:
OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2017
Methods, Neurons, Networks and Behaviors
June 26 to July 13, 2017
Okinawa Institute of Science and Technology Graduate University, Japan
https://groups.oist.jp/ocnc
The aim of the Okinawa/OIST Computational Neuroscience Course is to
provide opportunities for young researchers with theoretical backgrounds
to learn the latest advances in neuroscience, and for those with experimental
backgrounds to have hands-on experience in computational modeling.
We invite graduate students and postgraduate researchers to participate
in the course, held from June 26th through July 13th, 2017 at an oceanfront
seminar house of the Okinawa Institute of Science and Technology Graduate
University. Applications are through the course web page
(https://groups.oist.jp/ocnc) only; January 3 - February 5, 2017.
Applicants will receive confirmation of acceptance in March.
Like in preceding years, OCNC will be a comprehensive three-week course
covering single neurons, networks, and behaviors with ample time for
student projects. The first week will focus exclusively on methods with
hands-on tutorials during the afternoons, while the second and third weeks
will have lectures by international experts. The course has a strong hands-on
component based on student proposed modeling or data analysis projects,
which are further refined with the help of a dedicated tutor. Applicants are
required to propose their project at the time of application.
There is no tuition fee. The sponsor will provide lodging and meals during
the course and may support travel for those without funding. We hope that
this course will be a good opportunity for theoretical and experimental
neuroscientists to meet each other and to explore the attractive nature and
culture of Okinawa, the southernmost island prefecture of Japan.
Invited faculty:
? Upinder Bhalla (NCBS, India)
? Erik De Schutter (OIST)
? Kenji Doya (OIST)
? Bard Ermentrout (University of Pittsburgh, USA)
? Ila Fiete (University of Texas Austin, USA)
? Sonja Gr?n (Research Centre J?lich, Germany)
? Shin Ishii (Kyoto University, Japan)
? Jason Kerr (MPI Bonn, Germany)
? Bernd Kuhn (OIST)
? Subkin Lim (NYU Shanghai, China)
? Michele Migliore (Institute of Biophysics, Italy)
? David Redish (University of Minnesota, USA)
? ?Reza Shadmehr (Johns Hopkins University, USA)
? Greg Stephens (OIST)
? Yoko Yazaki-Sugiyama (OIST)
? Charles Wilson (University of Texas San Antonio, USA)
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From dr_ravirao at hotmail.com Fri Jan 6 06:27:30 2017
From: dr_ravirao at hotmail.com (Ravi Rao)
Date: Fri, 6 Jan 2017 11:27:30 +0000
Subject: Connectionists: Final CFP: IEEE Transactions on Cognitive and
Developmental Systems: Special Issue on Multi-modal Integration and
Development
In-Reply-To:
References: ,
Message-ID:
IEEE Transactions on Cognitive and Developmental Systems
Special Issue on Multi-modal Integration and Development
I. Aim And Scope
Traditionally, researchers in computational intelligence, cognitive science and neuroscience have focused on one sensory modality at a time, such as vision, audition or touch. This has led to a fundamental understanding of the encoding processes involved for each sensory pathway. The time is now ripe for expanding the focus of this research to investigate the integration of multi-modal inputs. Though the field of neuroscience has identified higher-level convergence zones for multimodal input, there are few computational models that faithfully replicate the workings of these circuits.
We note that the vertebrate brain has evolved in a world where stimuli from objects contain multiple sensory modalities. There is also a strong epigenetic, developmental aspect of multi-sensory processing and multimodal integration, as evidenced by results in the experimental literature. This leads to a multi-modal developmental perspective, where several brain structures are devoted to the coordinated representation and processing of these signals, including the hippocampus for memory formation and the basal ganglia for motor action. These are fundamental to understanding processes that govern cognition and mental development.
II. Themes
The purpose of this Special Issue on Multi-modal Integration is to advance the state of the art in our understanding of neural, cognitive and computational models that govern multi-modal processing. We welcome contributions in areas such as audio-visual processing, visuo-haptic processing and visuo-motor processing. Furthermore, the control of motor action also involves multi-modal processing such as combining proprioception with visual feedback for target tracking. Topics relevant to this special issue include, but are not limited to
* Audio-visual processing
* Visuo-haptic processing
* Computational models of multi-sensory processing
* Learning mechanisms for sensory integration
* Multi-modal development mechanisms
* Motor integration with sensory inputs
* Models of sensory convergence
* Modeling of proprioceptive inputs
* Adaptation mechanisms for sensory deficits
* Modeling of proprioceptive inputs
* Subcortical models of sensory integration
III. Submission
Manuscripts should be prepared according to the "Information for Authors" of the journal found at http://cis.ieee.org/publications.html and submissions should be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee and please select the category "SI: Multi-Modal Integration and Development".
IV. Important Dates
15 Jan 2017 -- Deadline for manuscript submission
15 Apr 2017 - Notification of authors
15 May 2017- Deadline for revised manuscripts
15 June 2017- Final version
For further information, please contact one of the following Guest Editors.
V. Guest Editors
Dr. A. Ravishankar Rao
School of Computer Science and Engineering,
Fairleigh Dickinson University, USA
ravirao at fdu.edu
Dr. Yoonsuck Choe,
Department of Computer Science and Engineering, Texas A&M University, USA
choe at tamu.edu
Dr. Srinivasa Chakravarthy
Dept. of Biotechnology, IIT Madras, India
schakra at ee.iitm.ac.in
________________________________
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From robert.jenssen at uit.no Fri Jan 6 08:08:31 2017
From: robert.jenssen at uit.no (Robert Jenssen)
Date: Fri, 6 Jan 2017 13:08:31 +0000
Subject: Connectionists: =?iso-8859-1?q?Extended_deadline=3A_Jan_31=2E_Sca?=
=?iso-8859-1?q?ndinavian_Conference_on_Image_Analysis_=28SCIA=29=2C_Troms?=
=?iso-8859-1?q?=F8_=28=22north_pole=22=29=2C_Norway=2C_12-14_June_2017?=
In-Reply-To: <1483017583153.62500@uit.no>
References: <1447920382605.62932@uit.no>, <1456127094090.11792@uit.no>,
<1478687226366.48355@uit.no>,<1483017583153.62500@uit.no>
Message-ID: <1483708114268.40912@uit.no>
Dear all,
Due to numerous requests, the deadline for SCIA 2017 in Tromso, Norway, has been extended to Jan 31.
We welcome all to "the North Pole" for great science and social activities :-)
The 20th conference in the long tradition of Scandinavian Conferences on Image Analysis will take place in Troms?, Norway on June 12-14, 2017.
For more information, and for updated information for authors, please visit: http://scia2017.org/
* 3D vision
* Color and multispectral image analysis
* Computational imaging and graphics
* Faces and gestures
* Feature extraction and segmentation
* Human-centered computing
* Matching, registration and alignment
* Medical and biomedical image analysis
* Motion analysis
* Object and scene recognition
* Machine learning and pattern recognition
* Remote sensing image analysis
* Robot vision
* Video and multimedia analysis
* IR image processing
* Deep convolutional neural networks
* Signal processing and applications
Being 350 km north of the arctic circle, Troms? is the northernmost city in the world with a population above 75,000. From 20 May to 20 July the midnight sun shines, which makes it possible to participate in various activities around the clock. In general Troms? has a mild climate for such a northerly destination because of its seaside location and the warming effect of the Gulf stream. Troms? is easily accessible from other Norwegian cities and from abroad. For more information, visit Troms? website: https://www.visittromso.no/en
SCIA 2017, the Scandinavian Conference on Image Analysis, is a biennial and international scientific conference organized by the national pattern recognition societies in the Nordic countries (Denmark, Finland, Norway and Sweden). The conference series was established by pattern recognition, image analysis and computer vision pioneers in the universities of the Nordic countries. SCIA is a well known international conference acknowledged by the researchers in the fields of computer vision, image analysis, pattern recognition, and multimedia.
?
Dates
* Deadline for paper submission: 31 January 2017 (extended)
* Acceptance notification to authors: 22 March 2017
* Camera ready: 4 April 2017
* Registration for paper presenters: 4 April 2017
* Conference: 12-14 June 2017
For more please contact
General Chair: Robert Jenssen, UiT Machine Learning Group (robert.jenssen at uit.no)
Program Chairs: Puneet Sharma (puneet.sharma at uit.no) and Filippo M. Bianchi (filippo.m.bianchi at uit.no), UiT - The Arctic University of Norway ?
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From bruno.cessac at inria.fr Fri Jan 6 07:20:50 2017
From: bruno.cessac at inria.fr (Bruno Cessac)
Date: Fri, 6 Jan 2017 13:20:50 +0100 (CET)
Subject: Connectionists: Master position in computational neuroscience at
INRIA
In-Reply-To: <1999412337.4901761.1483704981478.JavaMail.zimbra@inria.fr>
Message-ID: <1017672050.4902707.1483705250956.JavaMail.zimbra@inria.fr>
Master position in computational neuroscience at INRIA
We are seeking an undergraduate student interested in doing a Master thesis, possibly followed by a funded Ph.D. in our group Biovision at INRIA Sophia Antipolis lead by Dr. Bruno Cessac.
The detailed proposition can be found here https://team.inria.fr/biovision/files/2016/12/M2_Intership_Proposal.pdf
In collaboration with experimentalists our group studies how the visual system encodes information about external word. We propose biophysical models, we develop methods coming from theoretical physics and mathematics to analyse them, and we design software inspired from the visual system to mimic its behaviour and to analyse experimental data.
Successful applicants should have a strong background in computer science. Physics, mathematics or life science majors with strong skills in computer science (especially C/C++), interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills.
Unfortunately our source of fundings only covers members of the European Community.
Prospective students should apply by sending an email to which includes
* a letter of motivation,
* CV,
* and a copy of the current academic transcripts
to be sent to bruno.cessac at inria.fr
Looking forward to your applications!
Bruno Cessac
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From kau.subbu at gmail.com Fri Jan 6 14:26:06 2017
From: kau.subbu at gmail.com (Kaushik Subramanian)
Date: Fri, 6 Jan 2017 11:26:06 -0800
Subject: Connectionists: 2nd Call For Papers: Adaptive and Learning Agents
Workshop at AAMAS2017 (Sao Paulo, Brazil)
Message-ID:
** Apologies if you receive more than one copy. Please share with students
and colleagues. **
Dear all,
We are organizing the next iteration of the Autonomous Learning Agents
(ALA) workshop at AAMAS next year in Brazil. Please find the CfP below.
*******************************************************
Adaptive and Learning Agents Workshop at AAMAS2017 (Sao Paulo, Brazil)
http://ala2017.it.nuigalway.ie/
Submission deadline: FEBRUARY 1, 2017
*******************************************************
TL;DR:
* AAMAS workshop with a long and successful history, now in its ninth
edition.
* All aspects of adaptive and learning agents and multi-agent systems
* Open to original research papers, work-in-progress, and visionary outlook
papers, as well as recently published journal papers
* ACM proceedings format up to 8 pages for original research, up to 6 pages
for work-in-progress and outlook papers (shorter papers are also welcome
and will not be judged differently) and 2 pages for recently published
journal papers.
* Accepted papers are eligible for inclusion in a special issue journal
* Submissions through easychair:
https://easychair.org/conferences/?conf=ala2017
*******************************************************
IMPORTANT DATES:
* Submission Deadline: February 1, 2017
* Notification of acceptance: March 2, 2017
* Camera-ready copies: March 17, 2017
* Workshop: May 8-9, 2017
*******************************************************
OVERVIEW
Adaptive and learning agents, particularly those interacting with each
other in a multi-agent setting, are becoming increasingly prominent as the
size and complexity of real-world systems grows. How to adaptively control,
coordinate and optimize such systems is an emerging multidisciplinary
research area at the intersection of Computer Science, Control theory,
Economics, and Biology. The ALA workshop will focus on agent and
multi-agent systems which employ learning or adaptation.
The goal of this workshop is to increase awareness and interest in adaptive
agent research, encourage collaboration and give a representative overview
of current research in the area of adaptive and learning agents and
multi-agent systems. It aims at bringing together not only scientists from
different areas of computer science but also from different fields studying
similar concepts (e.g., game theory, bio-inspired control, mechanism
design).
This workshop will focus on all aspects of adaptive and learning agents and
multi-agent systems with a particular emphasis on how to modify established
learning techniques and/or create new learning paradigms to address the
many challenges presented by complex real-world problems.
The topics of interest include but are not limited to:
* Novel combinations of reinforcement and supervised learning approaches
* Integrated learning approaches that work with other agent reasoning
modules like negotiation, trust models, coordination, etc.
* Supervised multi-agent learning
* Reinforcement learning (single and multi-agent)
* Planning (single and multi-agent)
* Reasoning (single and multi-agent)
* Distributed learning
* Adaptation and learning in dynamic environments
* Evolution of agents in complex environments
* Co-evolution of agents in a multi-agent setting
* Cooperative exploration and learning to cooperate and collaborate
* Learning trust and reputation
* Communication restrictions and their impact on multi-agent coordination
* Design of reward structure and fitness measures for coordination
* Scaling learning techniques to large systems of learning and adaptive
agents
* Emergent behavior in adaptive multi-agent systems
* Game theoretical analysis of adaptive multi-agent systems
* Neuro-control in multi-agent systems
* Bio-inspired multi-agent systems
* Applications of adaptive and learning agents and multi-agent systems to
real world complex systems
*******************************************************
SUBMISSION DETAILS
Papers can be submitted through EasyChair:
https://easychair.org/conferences/?conf=ala2017
We invite submission of original work, up to 8 pages in length in the ACM
proceedings format (i.e. following the AAMAS formatting instructions). This
includes work that has been accepted as poster only at AAMAS 2017.
Additionally, we welcome submission of preliminary results, i.e.
work-in-progress, as well as visionary outlook papers that lay out
directions for future research in a specific area, both up to 6 pages in
length, although shorter papers are very much welcome, and will not be
judged differently. Finally, we also accept recently published journal
papers in the form of a 2 page abstract.
All submissions will be peer-reviewed (single-blind). The most "visionary?
paper will be published by Springer in a book under the Lecture Notes in
Artificial Intelligence (LNAI) - Hot Topics series. The book will be a
compilation of the most visionary papers of the AAMAS-2017 Workshops, where
one paper will be selected from each AAMAS-2017 workshop. Additionally, a
"best paper" will be published by Springer in a book under the
Communications in Computer and Information Science (CCIS) series. The book
will be a compilation of the best papers of the AAMAS-2017 Workshops, where
one paper will be selected from each AAMAS-2017 workshop. Authors of the
selected most visionary paper and the best paper are expected to provide
their latex files promptly upon request.
Accepted work will be allocated time for poster and possibly oral
presentation during the workshop. Papers accepted at the workshop will also
be eligible for inclusion in a special issue published after the workshop.
We look forward to your submissions,
- The Organizers
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From maciej.mazurowski at duke.edu Fri Jan 6 14:31:49 2017
From: maciej.mazurowski at duke.edu (Maciej Mazurowski)
Date: Fri, 6 Jan 2017 14:31:49 -0500
Subject: Connectionists: Postdoctoral position in machine learning available
at Duke
Message-ID: <7a34b9c0-16a2-1d36-6b13-213e31dce009@duke.edu>
A postdoctoral associate position is available at Duke University to
work in Dr. Maciej Mazurowski's lab on an NIH R01-funded project. More
details are available here:
http://deckard.duhs.duke.edu/~mazurowski/positions/postdoc_machine_learning.html
--
Maciej A. Mazurowski, Ph.D.
Assistant Professor of Radiology and
Electrical and Computer Engineering
Duke University
tel: 919 684 1466
From g.goodhill at uq.edu.au Sat Jan 7 05:18:45 2017
From: g.goodhill at uq.edu.au (Geoffrey Goodhill)
Date: Sat, 7 Jan 2017 10:18:45 +0000
Subject: Connectionists: Postdoc position in neural coding
Message-ID:
We are searching for a postdoc to help uncover the computational principles underlying neural coding in the developing nervous system, based on optogenetic recordings from zebrafish larvae. For lab publications see http://cns.qbi.uq.edu.au/pubs.html
The ideal candidate will have either (1) extensive experience in recording neural activity from zebrafish, and an interest in computational analysis, or (2) extensive experience in computational neuroscience and machine learning, and an interest in experimental neuroscience.
Applicants should possess a PhD in the area of neuroscience, mathematics, physics, computer science, engineering, or other relevant scientific discipline, and have a strong desire to further develop a successful and highly-productive research career and have excellent general research skills. Salary will be in the range AU$78-109k (currently US$57-79k). The position is for one year initially, with renewal contingent on funding.
The position is based at the Queensland Brain Institue (QBI) at the University of Queensland (UQ), Brisbane, Australia. QBI consists of over 40 labs and almost 500 total staff including about 100 PhD students and 100 postdocs, mostly based in two dedicated ajoining buildings. UQ is consistently ranked in the top 100 universities in the world, with a total enrolment of 50,000 students.
The link for applications is http://jobs.uq.edu.au/caw/en/job/500027/postdoctoral-research-fellow-research-fellow
Informal enquiries are also welcome. Application deadline is 11.55pm on Jan 29th AEST.
Professor Geoffrey J Goodhill
Queensland Brain Institute and School of Mathematics & Physics
University of Queensland
St Lucia, QLD 4072, Australia
Email: g.goodhill at uq.edu.au
http://www.qbi.uq.edu.au/professor-geoffrey-goodhill
From he at ele.uri.edu Sat Jan 7 10:45:49 2017
From: he at ele.uri.edu (Haibo He)
Date: Sat, 7 Jan 2017 10:45:49 -0500
Subject: Connectionists: IEEE TNNLS Special Issue on Deep Reinforcement
Learning and Adaptive Dynamic Programming
Message-ID: <7ECC6EB6-5D65-48A5-A6BA-29DE538C288A@ele.uri.edu>
IEEE Transactions on Neural Networks and Learning Systems
Special Issue on "Deep Reinforcement Learning and Adaptive Dynamic Programming?
Call for Papers:
In the first issue of Nature 2015, Google DeepMind published a paper ?Human-level control through deep reinforcement learning?. Furthermore, in the first issue of Nature 2016, it published a cover paper ?Mastering the game of Go with deep neural networks and tree search? again and proposed the computer Go program, AlphaGo. In March 2016, AlphaGo beat the world?s top Go player Lee Sedol by 4:1. This becomes a new milestone in artificial intelligence history, the core of which is the algorithm of deep reinforcement learning.
Deep reinforcement learning is able to output control signal directly based on input images, which incorporates both the advantages of the perception of deep learning and the decision making of reinforcement learning (RL) or adaptive dynamic programming (ADP). This mechanism makes the artificial intelligence much closer to human thinking modes. Deep RL or ADP has achieved remarkable success in terms of theory and application since it is proposed. Successful applications cover video games, Go, robotics, smart driving, healthcare, and so on.
However, it is still an open problem of the theoretical analysis on deep RL or ADP, e. g., the convergence, stability, and optimality. The learning efficiency needs to be improved by proposing new algorithms or combined with other methods. More practical demonstrations are encouraged to be presented. Therefore, the aim of this special issue is to call for the most advanced research and state-of-the-art works in the field of deep RL or ADP. All the original papers related are welcome. Specific topics of interest include but are not limited to:
? New algorithms of deep RL or ADP;
? Theory of deep RL or ADP;
? Deep RL or ADP with transfer learning;
? Deep RL or ADP with advanced search algorithms;
? Multi-agent RL or ADP;
? Hierarchical RL or ADP;
? Event-driven RL or ADP;
? Theoretical foundation of RL or ADP in convergence, stability, robustness, and etc. ;
? Data-driven learning and control;
? Control with advanced machine learning;
? Optimal decision and control of cyber-physical systems;
? Autonomous decision and control using neural structures;
? Brain-like control design and applications;
? New neural network topologies from neurocognitive psychology studies;
? Neurocomputing structures for fast decision and control in dynamic environments;
? Applications in realistic and complicated systems.
IMPORTANT DATES
30 March 2017 ? Deadline for manuscript submission
30 June 2017 ? Notification of authors
30 July 2017 ? Deadline for submission of revised manuscripts
30 September 2017 ? Final decision of acceptance
November 2017- tentative publication date
GUEST EDITORS
D. Zhao, Institute of Automation, Chinese Academy of Sciences, China.
D. Liu, Universtiy of Science and Technology, China.
F. L. Lewis, University of Texas at Arlington, USA.
J. Principe, University of Florida, Gainesville, USA.
R. Babuska, Delft University of Technology, the Netherlands.
SUBMISSION INSTRUCTIONS
1. Read the information for Authors at http://cis.ieee.org/tnnls.
2. Submit your manuscript at the TNNLS webpage (http://mc.manuscriptcentral.com/tnnls) and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript is submitted to the special issue on Deep Reinforcement Learning and Adaptive Dynamic Programming. Send an email to guest editor D. Zhao (dongbin.zhao at ia.ac.cn) with subject ?TNNLS special issue submission? to notify about your submission.
3. Early submissions are welcome. We will start the review process as soon as we receive your contributions.
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From pkpilly at hrl.com Sun Jan 8 04:45:19 2017
From: pkpilly at hrl.com (Pilly, Praveen K)
Date: Sun, 8 Jan 2017 09:45:19 +0000
Subject: Connectionists: several full-time job openings at HRL Laboratories
in Malibu, CA
Message-ID: <353b94ed495a4f9697530f2ff8eb9cf7@exch02.hrl.com>
(1) POST DOC RESEARCH STAFF, Machine Learning and Brain-Inspired Computing
(2) RESEARCH STAFF, Machine Learning and Brain-Inspired Computing
EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, or related fields.
ESSENTIAL JOB FUNCTION: To develop, implement, and evaluate novel large-scale brain-inspired computational architectures, including spiking neuromorphic models, to solve complex problems such as resilient sensorimotor control; one-shot learning; visual scene segmentation, recognition, and tracking; spatiotemporal pattern discovery; big data prognostics and diagnostics; grammar learning; etc. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise.
KNOWLEDGE AND EXPERIENCE DESIRED: Programming proficiency in C++, Python, or Matlab is required. Knowledge and/or research experience in the development, implementation, and evaluation of various neural networks including spiking neuromorphic models, deep learning models, hierarchical temporal memory models, recurrent neural networks, long short-term memory models, deep reinforcement models. Knowledge of expectation maximization theory, Bayesian inference on graphical models, reinforcement learning theory, control systems, nonlinear optimization, and episodic, semantic, and procedural memory systems is preferred. Any experience with high-performance computing using clusters, GPUs, or FPGAs will be a plus.
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required. Able and willing to occasionally travel.
SPECIAL REQUIREMENTS: U.S. person status required.
(3) POST DOC RESEARCH STAFF, Machine Learning and EEG Processing
EDUCATION DESIRED: Ph.D. in Applied Mathematics, Neuroscience, Machine Learning, Bio-Statistics, or related fields
ESSENTIAL JOB FUNCTION: To develop, implement, and validate real-time pattern recognition algorithms for decoding high-density EEG signals to predict future behavioral performance and inform non-invasive brain stimulation for behavioral enhancement in realistic tasks. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise.
EXPERIENCE DESIRED: Research experience in one or more of the following areas: high-density EEG decoding, pattern recognition applied to brain/body signals, machine learning with very limited training data, brain-machine interfaces, neural statistical modeling, closed-loop brain stimulation, and computational neuroscience. Deep understanding of machine learning algorithms applied to EEG is highly desirable. Experience developing innovative solutions based upon the application of relevant research results from a wide variety of sources. Individuals with a keen interest in translating basic neuroscience research into real-world applications are especially encouraged to apply.
KNOWLEDGE AND EXPERIENCE DESIRED: Background in one or more of the following areas: machine learning, pattern recognition, statistical data analysis, neural statistical modeling, neurophysiology, peripheral physiology, neuroscience, and sleep/wake states. Programming proficiency in Matlab and/or C++ is required.
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills and active participation in R&D team activities are required. Able and willing to occasionally travel.
SPECIAL REQUIREMENTS: U.S. person status required.
We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
(4) SOFTWARE ENGINEER, Cluster Implementation for Large-Scale Brain Networks
EDUCATION DESIRED: Master's degree (or higher) in computer science, engineering, or related fields
ESSENTIAL JOB FUNCTION: To implement and evaluate flexible, general-purpose large-scale brain networks on CPU and GPU clusters for real-time operation in real-world applications. Also to visualize large-scale network activity and develop a user interface to set various parameters. Additional job functions include writing invention disclosures, publishing papers, making presentations, and assisting in marketing HRL expertise.
KNOWLEDGE AND EXPERIENCE DESIRED: Strong C++ and Python programming skills are required. Experience with/knowledge of brain networks and neural models is highly desired. Experience with threaded programming and MPI, and familiarity with Linux development environment is desired but not necessary.
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: Good communication (verbal and written) skills, and active participation in R&D team activities are required.
SPECIAL REQUIREMENTS: U.S. person status required.
We are proud to be an EOE/Minorities/Females/Vet/Disability employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
The Information and Systems Sciences Laboratory (ISSL) at HRL Laboratories conducts groundbreaking research in three thrust areas: Complex Networks, Secure and Resilient Systems, Autonomy Computing, and Human-Machine Cognition. We create new and innovative capabilities for diverse applications such as cyber-security, unmanned autonomous systems, human performance augmentation, big data analytics, intelligence, surveillance, and reconnaissance, and electronic warfare. The goal of our research in Human-Machine Cognition is to understand how humans process information and effectively interact with the environment to develop smarter autonomous systems, enhance human performance, and develop novel processing systems. Our research starts with the development of large-scale, neurobiologically and behaviorally faithful brain region models. We apply these models along with real-time measurements of brain activity (EEG, fMRI, fNIRS) to create advanced brain-computer interfaces, human decision aids, and neurostimulation-based enhanced training systems. We also use our models to develop novel brain-inspired sensor exploitation, machine learning, and control algorithms, and to develop low size, weight and power brain-based processing hardware for resilient autonomous systems, dexterous robots, and threat warning applications. HRL offers a competitive salary and benefits package, a small company atmosphere, and an ideal work location overlooking the Pacific Ocean. We also provide a collaborative technical culture committed to producing the leading R&D in the world. If interested, please send your resume via email to Dr. Praveen Pilly (pkpilly at hrl.com) and put the pertinent Job Name in the subject heading.
--
Praveen K. Pilly, Ph.D.
Research Staff Scientist
Information and Systems Sciences Laboratory
HRL Laboratories
Address: 3011 Malibu Canyon Road, Malibu, CA 90265
Tel: (310) 317-5492
Email: pkpilly at hrl.com
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From stefan.kiebel at tu-dresden.de Mon Jan 9 04:41:03 2017
From: stefan.kiebel at tu-dresden.de (Stefan Kiebel)
Date: Mon, 9 Jan 2017 09:41:03 +0000
Subject: Connectionists: PhD position in Computational Neuroscience,
Dresden/Germany
Message-ID: <1483954868793.8635@tu-dresden.de>
We are looking for a PhD student in computational neuroscience.
The position is part of the priority program 1665 (German Research Foundation) 'Resolving and manipulating neuronal networks in the mammalian brain - from correlative to causal analysis'.
The position is placed at the interface between computational neuroscience and experimental work based on measuring single neuron and network activity using two-photon calcium imaging. Detailed information can be found at: http://tiny.cc/sveciy.
The candidate will work in an interdisciplinary team of both computational and experimental neuroscientists. The aim of the project is to continue our previous work of developing novel network models of calcium imaging data, which can be directly used by experimenters for testing interesting and important questions about the maturation of visual cortex.
Application deadline: 16th of January 2017.
--
Prof. Dr. Stefan Kiebel
Technische Universit?t Dresden
School of Science
Department of Psychology
01062 Dresden, Germany
Tel.: +49 (351) 463-43145
Fax: +49 (351) 463-43147
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From g.goodhill at uq.edu.au Sun Jan 8 23:13:05 2017
From: g.goodhill at uq.edu.au (Geoffrey Goodhill)
Date: Mon, 9 Jan 2017 04:13:05 +0000
Subject: Connectionists: SCiNDU2 Conference: Systems and Computational
Neuroscience DownUnder, Dec 2017
Message-ID:
Conference announcement:
SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU)
Joint meeting with the 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience
Dec 13-15th 2017
Queensland Brain Institute, University of Queensland, Brisbane, Australia
http://www.qbi.uq.edu.au/scindu
Confirmed international speakers:
Polina Anikeeva (MIT)
Daphne Bavelier (Geneva)
Kwabena Boahen (Stanford)
Tobias Bonhoeffer (Max Planck Institute of Neurobiology)
Rosa Cossart (Institut de Neurobiology de la Mediterranee)
Kenji Doya (Okinawa)
Alex Pouget (Geneva)
Rafael Yuste (Columbia)
Plus more speakers to be announced. More details on registration and abstract submission to follow (likely similar to the first SCiNDU conference http://www.qbi.uq.edu.au/scindu-2015).
Professor Geoffrey J Goodhill
Queensland Brain Institute and School of Mathematics & Physics
University of Queensland
St Lucia, QLD 4072, Australia
Email: g.goodhill at uq.edu.au
http://www.qbi.uq.edu.au/professor-geoffrey-goodhill
From pmgr at idiap.ch Mon Jan 9 05:11:10 2017
From: pmgr at idiap.ch (Idiap Research Institute)
Date: Mon, 9 Jan 2017 11:11:10 +0100
Subject: Connectionists: 2 open Senior Researcher positions @ Idiap Research
Institute (Switzerland)
Message-ID:
*Two positions for Permanent Senior Researcher @ the Idiap Research
Institute, Martigny, Switzerland*
*To register and/or more information at:*
position 1 - Senior Researcher position in Energy Informatics:
http://www.idiap.ch/education-and-jobs/job-10207
position 2- Senior Researcher position:
http://www.idiap.ch/education-and-jobs/job-10208
*Description*
Idiap is currently inviting applications for two new permanent Senior
Researcher positions. The main focus of this search is for highly
qualified candidates, with evidence of strong research, PhD student
supervision, and project management capabilities. Applicants should also
demonstrate evidence of the ability to pursue an independent program of
research, a strong commitment to both graduate and undergraduate
teaching, the ability to initiate and conduct research across
disciplines, and to perform technology transfer.
The Idiap Research Institute is an independent, not-for-profit, research
institute. Building on strong signal processing and machine learning
expertise, the Institute carries out advanced R&D activities in the
field of human and media computing, including perceptual and cognitive
systems, speech and language processing, computer vision, information
interfaces and presentation, social/human behavior, biometric person
recognition, robotics, and biological imaging.
The Institute is especially interested in those candidates committed to
novel theories and applications of machine learning and signal
processing, while contributing to the diversification of Idiap?s
activities and bringing expertise in new application areas. Topics of
particular interest include (but are not limited to) new applications of
deep learning, multimedia processing, autonomous systems, knowledge
management, and collaborative systems (collective intelligence, digital
humanities). Priority, however, will always be given to the overall
originality and promise of the candidate?s work over any specific area
of specialization.
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From nicosia at dmi.unict.it Mon Jan 9 02:52:42 2017
From: nicosia at dmi.unict.it (Giuseppe Nicosia)
Date: Mon, 9 Jan 2017 08:52:42 +0100
Subject: Connectionists: Save the Date: 3rd Int. Workshop on Machine
learning,
Optimization & big Data - MOD 2017 Call for Papers - Paper submission
deadline: February 28, 2017
Message-ID: <5FA0FB90-E0DE-4025-9224-FDD13371DA4D@dmi.unict.it>
[Apologies if you receive multiple copies of this announcement]
[Please kindly help forward it to potentially interested attendees]
3rd International Workshop on Machine learning, Optimization and big Data - MOD 2017
An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders - SIAF Learning Village - Volterra (Pisa) Tuscany, September 14-17, 2017
http://www.taosciences.it/mod/
modworkshop2017 at gmail.com
*************************
CALL FOR PAPERS
*************************
Paper submission deadline: February 28, 2017
http://www.taosciences.it/mod/call-for-papers/
https://easychair.org/conferences/?conf=mod2017
The MOD 2017 workshop will consist of four days of workshop sessions and special sessions.
We invite submissions of papers, abstracts and posters on all topics related to Machine learning,
Optimization and Big Data including real-world applications for the workshop proceedings:
http://www.taosciences.it/mod/call-for-papers/
https://easychair.org/conferences/?conf=mod2017
Please prepare your paper in English using the Lecture Notes in
Computer Science (LNCS) template, which is available
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
Papers must be submitted in PDF.
MOD 2017 Types of Submissions
When submitting a paper to MOD 2017, authors are required to select
one of the following four types of papers:
+ Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format);
+ Short paper: an extended abstract of novel work (max. 4 pages);
+ Work for oral presentation only (no page restriction; any format).
For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the workshop;
+ Work for poster presentation only. The poster format for the
presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch).
For research work which is relevant and which may solicit fruitful discussion at the workshop.
MOD 2017 Post-Proceedings
All accepted long papers will be published in a volume of the series
'Lecture Notes in Computer Science' from Springer *after* the Workshop.
Instructions for preparing and submitting the final versions
(camera-ready papers) of all accepted papers will be available later on.
All the other papers (short papers, abstract of the oral
presentations, poster presentations) will be published on the MOD 2017 web site.
MOD 2017 Submission System
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=mod2017
The deadline is February 28, 2017
MOD 2017 Important Dates
+ Paper Submission Deadline: February 28, 2017
+ Decision Notification to Authors: May 1st, 2017
+ Camera Ready Submission Deadline: June 1st, 2017
+ Deadline for early Registration as Presenting Author: June 1st, 2017
+ Late registration: June 2 ? September 17, 2017
+ On-Site registration: September 14-17, 2017
+ MOD 2017 Workshop: September 14-17, 2017
We look forward to seeing you in Tuscany!
Giuseppe Nicosia & Panos Pardalos - MOD 2017 Chairs.
?
http://www.taosciences.it/mod/
modworkshop2017 at gmail.com
MOD 2016 Keynote Speakers:
Nello Cristianini, University of Bristol, UK
George Michailidis, University of Florida, USA
Stephen Muggleton, Imperial College London, UK
Panos Pardalos, University of Florida, USA
http://www.taosciences.it/mod-2016/keynote-speakers/
MOD 2015 Keynote Speakers:
Vipin Kumar, University of Minnesota, USA
Panos Pardalos, University of Florida, USA
Tomaso Poggio, MIT, USA
http://www.taosciences.it/mod-2015/MOD 2015
--
Giuseppe Nicosia, Ph.D.
Associate Professor of Computer Science
Dept of Mathematics & Computer Science
University of Catania
Viale A. Doria, 6 - 95125 Catania, Italy
P +39 095 7383048
nicosia at dmi.unict.it
http://www.dmi.unict.it/nicosia
==================================================================
4th International Synthetic & Systems Biology Summer School - SSBSS 2017
* Biology meets Computer Science & Engineering *
July 17-21, 2017 - University of Cambridge, Robinson College, UK
http://www.taosciences.it/ssbss/
Contact Email: ssbss.school at gmail.com
FB: https://www.facebook.com/ssbss.school/
SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/
Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/
==================================================================
3rd International Workshop on Machine learning, Optimization & big Data - MOD 2017
September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy
modworkshop2017 at gmail.com
http://www.taosciences.it/mod/
==================================================================
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From osporns at indiana.edu Mon Jan 9 08:40:07 2017
From: osporns at indiana.edu (Sporns, Olaf)
Date: Mon, 9 Jan 2017 08:40:07 -0500
Subject: Connectionists: NetSci 2017 Abstracts due Jan 15
Message-ID: <34e0f38a-e6e3-94c7-c964-08fd3ec0a1d2@indiana.edu>
*NETSCI 2017 - ABSTRACT DEADLINE: SUNDAY JANUARY 15*
_International School and Conference on Network Science___
June 19-23, Indianapolis, IN (JW Marriott Indianapolis) |
http://netsci2017.net
**
*ABOUT NETSCI 2017*
NetSci 2017, the International School and Conference on Network Science,
will be held in Indianapolis, Indiana from June 19 to 23, 2017. NetSci
2017 aims to bring together leading researchers and practitioners
working in the emerging area of network science. The conference fosters
interdisciplinary communication and collaboration in network science
research across computer and information sciences, physics, mathematics,
statistics, the life sciences, neuroscience, environmental sciences,
social sciences, finance and business, arts and design.
NetSci 2017 is a combination of:
- Satellite Symposia (June 19 & 20) -- *Satellites will be announced Jan
1**5*
- An International School for students and non-experts (June 19 & 20)
- A 3-day Conference (June 21-23) featuring research in a wide range of
topics and in different formats, including keynote and invited talks,
oral presentations, posters, and lightning talks.
*CALL FOR ABSTRACTS*
To submit an abstract for an a oral presentation (15 mins, with 5 minute
Q&A), lightning talk (5 mins), or poster, please prepare a one-page
abstract including one mandatory descriptive figure and caption plus
three keywords. The deadline for submission is Sunday, January 15, 2017,
with decisions issued by March 1. The abstract submission portal will be
live on November 1, and will be available here:
http://netsci2017.net/call/abstracts. You must use one of the two
provided templates for preparing your abstract, also available at that
page.
*ERD?S?R?NYI PRIZE *
The Erd?s?R?nyi Prize is awarded each year to a selected young scientist
(under 40 years old on the day of the nomination deadline) for their
achievements in research activities in the area of network science,
broadly construed. While the achievements can be both theoretical and
experimental, the prize is aimed at emphasizing outstanding
contributions relevant to the interdisciplinary progress of network
science. Candidate dossiers are due March 1, 2017 and self-nominations
are not accepted. Details can be found at:
http://netsci2017.net/erdos-renyi.
SATELLITE CO-CHAIRS: R?ka Albert (Pennsylvania State University) &
Filippo Radicchi (Indiana University Bloomington)
PROGRAM COMMITEE CO-CHAIRS: Yong-Yeol Ahn (Indiana University
Bloomington), Ciro Cattuto (ISI Foundation) & Tina Eliassi-Rad
(Northeastern University)
CONFERENCE CO-CHAIRS: Fil Menczer and Olaf Sporns (Indiana University
Bloomington)
/NetSci 2017 is hosted by the Indiana University Network Science
Institute (http://iuni.iu.edu). It is the annual meeting of the Network
Science Society (http://www.netscisociety.net)./
/Questions? Email netsci17 at iu.edu and http://netsci2017.net
/
/Follow us on Twitter and Facebook: @NetSci2017/
--
Olaf Sporns -- @spornslab
Department of Psychological and Brain Sciences
Programs in Neuroscience and Cognitive Science
Indiana University
Bloomington, IN 47405
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From nsmattei at gmail.com Mon Jan 9 14:38:44 2017
From: nsmattei at gmail.com (Nicholas Mattei)
Date: Mon, 9 Jan 2017 14:38:44 -0500
Subject: Connectionists: Call for Submissions: ACM SIGAI Student Essay
Contest on the Responsible Use of Artificial Intelligence (AI)
Technologies!
Message-ID:
Call for Submissions: ACM SIGAI Student Essay Contest on the Responsible
Use of Artificial Intelligence (AI) Technologies!
Do you have an opinion on the responsible use of AI technologies?
Do you want to win one of several $500 cash prizes?
Do you want to talk one-on-one (via skype) to one of the following AI
researchers:
* Murray Campbell (Senior Manager, IBM Thomas J. Watson Research Center)
* Eric Horvitz (Managing Director, Microsoft Research)
* Peter Norvig (Director of Research, Google)
* Stuart Russell (Professor, University of California at Berkeley) or
* Michael Wooldridge (Head of the CS Department, University of Oxford)?
Read on!
We are happy to announce the ACM SIGAI Student Essay Contest on the
Responsible Use of Artificial Intelligence (AI) Technologies.
An increasing number of AI technologies now affect our lives (or soon
will), from intelligent assistants to self-driving cars. As a result, AI
technologies are often in the news and a number of organizations (including
the U.S. government) are trying to ensure that AI technologies are being
used for the maximum benefit of society. As with all potentially
transformative technologies (such as the automobile and the transistor),
there is some uncertainty about exactly how the future will look like and
how it should best be shaped to harness the power of AI technologies while
avoiding any drawbacks or misuses. ACM SIGAI is in a unique position to
shape the conversation around these issues.
ACM SIGAI is interested in obtaining input from students worldwide to help
shape this debate. We therefore invite all student members to enter an
essay in the ACM SIGAI Student Essay Contest, to be published in the ACM
SIGAI newsletter ?AI Matters,? answering the following questions while
providing supporting evidence:
What do you see as the 1-2 most pressing ethical, social or regulatory
issues with respect to AI technologies? What position or steps can
governments, industries or organizations (including ACM SIGAI) take to
address these issues or shape the discussions on them?
The ACM SIGAI Student Essay Contest is open to all ACM SIGAI student
members at the time of submission. (If you are a student but not an ACM
SIGAI member, you can join ACM SIGAI before submission for just USD 11,
even if you are not an ACM member.) The deadline for submissions is March
1, 2017.
Please find all details in the ACM SIGAI AI Matters blog
(
https://sigai.acm.org/aimatters/blog/2016/12/04/essaycontest/).
Please also help us out by distributing this email to students who might be
interested in participating.
--
Nicholas Mattei
Research Staff Member | Cognitive Computing
*IBM T.J. Watson Research Center*
1101 Kitchawan Road, Office 30-110, Yorktown Heights, NY 10598
E: n.mattei at ibm.com | T: +1 914 945 3305
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From rsun at rpi.edu Mon Jan 9 16:02:17 2017
From: rsun at rpi.edu (Professor Ron Sun)
Date: Mon, 9 Jan 2017 16:02:17 -0500
Subject: Connectionists: Special Issue on Deep Reinforcement Learning in the
journal Neural Networks
Message-ID:
Call for Papers: Special Issue on Deep Reinforcement Learning in Neural Networks
Deep learning (DL) has become highly popular in recent years, among theoretically minded and application-focused researchers alike. Moreover, the idea of deep learning has been combined with reinforcement learning (RL), leading to deep reinforcement learning, which has achieved notable successes in tackling difficult problems, including the achievement of AlphaGo.
However, there are many open questions and issues that need to be addressed with regard to deep RL. Open questions with regard to deep RL include:
? How do we extend RL algorithms or systems to make them suitable for deep learning? How do we make RL (typically centered on values of states or state-action pairings) appropriately deep?
? How do we do so without jeopardizing useful characteristics of RL?
? What modification and enhancements to learning algorithms are necessary to accomplish deep RL in an effective and/or efficient manner?
? How can we make knowledge within deep RL systems explicit (generating explicit, symbolic, usable knowledge) and enable metacognitive reflection and regulation to some extent?
? How can deep learning help facilitate planning or model-based reinforcement learning?
? How can hierarchical or modular approaches be applied to deep RL?
? What theoretical/mathematical properties can be obtained with regard to deep RL (e.g., convergence, stability, robustness, and optimality)?
? How do we apply deep RL in real-world scenarios?
The aim of this special issue is to showcase state-of-the-art work in the field of deep RL, addressing some of the above questions and beyond. Although there have no doubt been advances in addressing these questions, there is clearly room for further development. This special issue will provide a platform for deep learning and reinforcement learning researchers to share their work, for the sake of more rapid advances on a solid footing, fully realizing the potential of infusing reinforcement learning and deep learning. It also intends to showcase more effective applications in a variety of fields (robotics, control engineering, data analysis, and so on).
We invite original research contributions on deep reinforcement learning (broadly defined). Possible topics for this special issue include, among others:
? New and better deep RL algorithms
? New and better neural network architectures for deep RL
? Better combinations of existing algorithms and techniques for deep RL
? Theories regarding deep RL
? Mathematical analysis of deep RL (regarding convergence, optimality, stability, robustness, and so on)
? Transfer learning and prior knowledge within deep RL
? Coping with uncertainty in deep RL
? Combining policy learning, value learning, and model-based search
? Symbolic structures from or within deep RL
? Planning and deep RL
? Hierarchical or modular RL
? Multi-agent RL
? Applications of deep RL algorithms, architectures, and systems to robotics, control, data analysis, prediction and forecast, modeling and simulation, and so on
? Applications of deep RL to cognitive-psychological or social modeling and analysis
Survey papers are welcome also.
Submission Procedure:
Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at http://ees.elsevier.com/neunet/. During submission, authors should indicate that their papers are for the special issue.
Important Dates
? July 1, 2017 ? Deadline for submission
? December 1, 2017 ? Notification of review decisions to authors
? February 1, 2018 ? Deadline for submission of revised versions
? April 1, 2018 ? Final acceptance decision
Guest Editors:
Ron Sun, Ph.D.
Professor, Cognitive Science Department
Rensselaer Polytechnic Institute
110 Eighth Street, Carnegie 302A
Troy, NY 12180, USA
http://sites.google.com/site/drronsun
David Silver, Ph.D
Google DeepMind, London
University College London
http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Home.html
Gerald Tesauro, Ph.D
Principal Research Staff Member
Thomas J. Watson Research Center,
Yorktown Heights, NY, USA
http://researcher.watson.ibm.com/researcher/view_person_pubs.php?person=us-gtesauro&t=1
Guang-Bin Huang, PhD
Professor, School of Electrical and Electronic Engineering
Nanyang Technological University
Nanyang Avenue,
Singapore 639798
http://research.ntu.edu.sg/expertise/academicprofile/Pages/StaffProfile.aspx?ST_EMAILID=EGBHUANG
========================================================
Professor Ron Sun, Ph.D., FIEEE, FAPS
Cognitive Science Department
Rensselaer Polytechnic Institute
110 Eighth Street, Carnegie 302A
Troy, NY 12180, USA
phone: 518-276-3409
fax: 518-276-3017
email: dr.ron.sun [AT] gmail.com
web: http://sites.google.com/site/drronsun
=======================================================
From M.Gillies at gold.ac.uk Mon Jan 9 15:05:39 2017
From: M.Gillies at gold.ac.uk (Marco Gillies)
Date: Mon, 9 Jan 2017 20:05:39 +0000
Subject: Connectionists: 3rd call for papers and practice work MOCO 2017
In-Reply-To:
References: ,
,
,
,
,
Message-ID:
3rd Call for Papers and Practice Work MOCO 2017
NB the previously published deadline has been extended by 1 week. There will be no further deadline extensions.
???????????????????????????????????????
International Conference on Movement and Computing (MOCO17)
Intersecting Art, Meaning, Cognition, Technology
???????????????????????????????????????
28-30th June, London UK
Goldsmiths University of London
http://moco17.movementcomputing.org
We would like to invite submissions for paper presentations, performances, workshops and more to the 4th International Conference on Movement and Computing (MOCO) which is to be held in London.
MOCO is an interdisciplinary conference that explores the use of computational technology to support and understand human movement practice (e.g. computational analysis) as well as movement as a means of interacting with computers (e.g. movement interfaces). This requires a wide range of computational tasks including modeling, representation, segmentation, recognition, classification, or generation of movement information but also an interdisciplinary understanding of movement that ranges from biomechanics to embodied cognition and the phenomenology of bodily experience. We therefore invite submissions from a wide range of disciplines including (but not limited to): Human-Computer Interaction, Psychology, Dance, Artificial Intelligence, Neuroscience, Sports Science, Machine Learning, Cognitive Science, Visual Arts, Robotics, Philosophy, Anthropology, Music, Affective Computing, Games, Healthcare and Animation.
MOCO is open to a wide range of ways of presenting your work. As well as papers for oral and poster presentations, we invite submission of a wide range of practice work such as demos, performances, games, artistic works and movement workshops (in which participants take part in a guided movement activity). We encourage submitters to be creative in proposals for practice sessions and are open to novel formats.
????????????
Suggested Topics
????????????
? Expressive movement-based interaction
? Movement analysis and analytics
? Machine learning for movement
? Movement representation
? Somatic practice and design
? Modeling movement qualities and expressive movement
? Mechatronics and creative robotics
? Design for movement in digital art
? Gesture Interaction
? Movement generation
? Movement and sound interaction
? Movement computation in ergonomics, sports, and health
? Sensori-motor learning with audio/visual feedback
? Embodied cognition and movement
? Visualizing and sonifying movement
? Modeling kinaesthetic empathy
? Embodied and whole body interaction
? Expressive movement analysis and synthesis
? Design for movement in digital art
? Semantic models for movement representation
? Movement Notation Systems (e.g. Laban or Eshkol-Wachman) and computation
? Dance and technology
? Biosensing, biocontrol and movement
? Movement expression in avatar, artificial agents, virtual humans or robots.
? Music and movement
? Philosophical perspectives and reflection on movement and computing
??????????
Submission
??????????
The conference is an opportunity to present a research or study or details of collaborative work. Participants will have the opportunity to offer a presentation of the results of their research on one of the themes of the symposium and to interact with their scientific/ artistic peers, in a friendly and constructive environment. We encourages submission of a wide range of formats, the submission categories are:
Long paper with oral presentation (8 pages maximum)
Short paper with oral presentation (4 pages maximum)
Extended abstract with poster presentation (6 pages maximum in the extended abstract format)
Extended abstract for practice work with presentation format to be suggested by the author for example demonstration, performance, art work, movement workshop, game or other practice presentation (2 pages maximum + Demo proposal form). - please note that we are an academic conference with a low fee which means we cannot pay for commissioned performances and art work. Also, we cannot guarantee facilities for all possible sessions, so please give full details of your needs in the proposal form so we can judge whether it is possible.
Doctoral papers with oral presentation at a doctoral symposium and poster (4 pages maximum)
All submissions should be in pdf format and should use the ACM proceedings format:
http://www.acm.org/publications/proceedings-template
It is possible for participating authors to submit a demonstration proposal in addition to their regular paper submission by completing the Demo proposal form and sending it along with their submission. Together with the demo proposal form, authors have to provide a link to a video about their work. The demo proposal form is mandatory for all demo submissions and must include details about technical set-up and space requirements.
Online submission: All submissions must be made through EasyChair
https://easychair.org/conferences/?conf=moco2017
All submissions must be anonymous and will be peer-reviewed. The MOCO proceedings will be indexed and published in the ACM digital library.
????????????
Important Dates
????????????
NB There will be no deadline extensions
Abstract and Meta-data Submission: 23 January 2017
Paper, Poster and Practice Work Submission: 1 February 2017
Doctoral Symposium Submission: 1 March 2017
Notification: 30 March 2017
Camera Ready: 30 April 2017
Symposium: 28-30 June 2017
????????????
Contact
????????????
If you have any questions please contact us on moco2017 at easychair.org
????????????
Committee
????????????
Conference Chair
Marco Gillies, Goldsmiths
Organising Committee
Kirk Woolford, University of Surrey
Sarah Whatley, Coventry University
Frederic Fol Leymarie, Goldsmiths
Phoenix Perry, Goldsmiths
Adam Parkinson, Goldsmiths
Simon Katan, Goldsmiths
Perla Maiolino, Goldsmiths
Local organisers
Kiona Niehaus, Goldsmiths
Nicky Donald, Goldsmiths
Phoenix Fry, Goldsmiths
Steering Committee
Fr?d?ric Bevilacqua, IRCAM
Sarah Fdili Alaoui, LRI-Universit? Paris-Sud 11
Jules Fran?oise, Simon Fraser University
Philippe Pasquier, Simon Fraser University
Thecla Schiphorst, Simon Fraser University
--
http://movementcomputing.org/
---
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From felfranke at googlemail.com Tue Jan 10 06:38:51 2017
From: felfranke at googlemail.com (Felix Franke)
Date: Tue, 10 Jan 2017 12:38:51 +0100
Subject: Connectionists: =?utf-8?q?PhD_position_available_at_ETH_Z=C3=BCri?=
=?utf-8?q?ch?=
Message-ID:
We are looking for a talented student with a proactive and self-driven
nature who will map functional characteristics of retinal ganglion cells
across the entire retina. The successful candidate will perform experiments
with ex-vivo retinae and state-of-the-art microelectrode array technology
in an interdisciplinary research project and will collaborate with
scientists in electrical engineering, neurobiology, computational
neuroscience and ophthalmic research.
The PhD project is set in an interdisciplinary research group providing an
exciting scientific environment and linked with several ongoing projects.
It will pave the way to a better functional understanding of the
organization of retina, including the optics of the eye and the statistics
of natural stimuli. In particular, we want to understand if functional
properties of retinal ganglion cells follow a spatial organization across
the entire retina.
The ideal candidate will have strong programming skills (e.g., Matlab,
Python, C++), knowledge of statistics and data analysis methods, and a
background in Systems Neuroscience, Electrophysiology, Computational
Neuroscience, Signal Processing, Optics or related fields.
Inquiries should be addressed to Dr. Felix Franke (felix.franke at ethz.ch).
The position is with the Bio Engineering Laboratory of ETH Zurich in Basel
in the group of Prof. Andreas Hierlemann (https://www.bsse.ethz.ch/bel) and
begins in March 2017 although the starting date is flexible. The position
is fully funded for 4 years.
Please apply under https://apply.refline.ch/845721/5083/pub/1/index.html
including a CV, short statement of motivation and research interests, and
two letters of reference.
--
Felix Franke, PhD
ETH Z?rich, D-BSSE
Bio Engineering Laboratory (BEL)
http://www.bsse.ethz.ch/bel
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From yifanhu at yahoo.com Tue Jan 10 10:39:57 2017
From: yifanhu at yahoo.com (Yifan Hu)
Date: Tue, 10 Jan 2017 15:39:57 +0000 (UTC)
Subject: Connectionists: Research Scientist Position @ Yahoo Research
References: <948226913.355925.1484062797970.ref@mail.yahoo.com>
Message-ID: <948226913.355925.1484062797970@mail.yahoo.com>
Hi Connectionist,
Please display the following open position announcement.
Thank you,??Yifan
-----------------
The Data Science team is part of Yahoo Research. Through compelling data mining, machining learning and visualization algorithms, we gain knowledge and make decisions from data, and help our company to build better and more security products and services. We are growing our team, and have an exciting job opening in data mining and applied machine learning areas that is located in our office in New York City, one block from the Times Square.
We hire the best scientific minds who like to roll up their sleeves to make new discoveries that contribute to the success of the business, at the same time can be presented at the top scientific conferences. We are looking for a Research Scientist with a PhD degree in Computer Science or related fields. Our scientists specialize in mining large amount of data to make or inform business decisions. We design and invent algorithms to push the intelligence, performance and security of our platforms, mine huge amount of data to get knowledge and understading, and to find patterns and anomalies. We evaluate the impact in Web-scale production settings. We actively contribute to the scientific and open source communities in Computer Science and related area.
Your responsibilities Include:
- Deep dive into the data to find patterns and gain knowledge through innovation and application of scalable algorithms
- Work closely with colleagues on the engineering team to put research results into action
- Provide thought leadership to guide the direction of Yahoo products and services
- Be a leader in your research area and look to influence our products and services with your expertise.
You Must Have
- PhD in Computer Science or related fields
- Strong academic research track record in one of the following areas: Data Mining, Applied Machine Learning, Data Visualization and related areas.
- Strong implementation skills in Java, Scala, Python etc. Experience with large-scale production code development a plus.
- Ability to conduct research that is justified and guided by business opportunities
- Strong communication and presentation skills.
We are part of Yahoo! Membership organization. We are also part of Yahoo! Research. For more information about Yahoo Research, please visit: https://research.yahoo.com/
To Apply: please email yifanhu at yahoo-inc.com with your resume.
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From graduateprograms at bccn-berlin.de Tue Jan 10 10:39:04 2017
From: graduateprograms at bccn-berlin.de (Robert Martin)
Date: Tue, 10 Jan 2017 16:39:04 +0100
Subject: Connectionists: *Graduate Programs in Computational Neuroscience*
in Berlin; MSc and PhD;
deadline March 15, 2017, deadline for PhD scholarships Jan 15, 2017
Message-ID: <47b0efda-e5ca-00ea-d819-8315780dc258@bccn-berlin.de>
[Apologies for cross-posting]
*Doctoral* and *Master Program* "Computational Neuroscience"
at the Bernstein Center for Computational Neuroscience Berlin
in Berlin, Germany
Application deadline: *March 15, 2017*
PhD Scholarships: *January 15, 2017*
Begin of courses: Sept/Oct 2017
Internet: www.computational-neuroscience-berlin.de
_Doctoral Program_
The Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin,
https://www.bccn-berlin.de/) and the Research Training Group "Sensory
Computation in Neural Systems" (GRK 1589/2,
https://www.eecs.tu-berlin.de/grk_15891/) invite applications for their
PhD program.
The BCCN Berlin is a leading research center dedicated to the
theoretical study of neural processing and the *scientific program* of
the research training group combines techniques and concepts from
machine learning, computational neuroscience, and systems neurobiology
in order to specifically address ensory computation. Doctoral candidates
will work on interdisciplinary projects investigating the mechanisms of
neural computation, address the processes underlying perception on
different scales and different levels of abstraction, and develop new
theories of computation hand in hand with well-controlled experiments in
order to put functional hypotheses to the test.
The training group offers structured supervision complemented by a
teaching and training program. Each student will be supervised by two
investigators with complementary expertise and will be associated with
the Bernstein Center for Computational Neuroscience Berlin.
Candidates are expected to hold a Masters degree (or equivalent) in a
relevant subject (e.g., neuroscience, cognitive science, computer
science, physics, mathematics, etc.) and have the required advanced
mathematical background.
_Master's Program_
The tuition-free Master program in Computational Neuroscience offers *15
places* per year, has a duration of 2 years and is fully taught in English.
The *curriculum* is subdivided into ten modules, whose content includes
theoretical neuroscience, programming, machine learning, cognitive
neuroscience, acquisition, modelling, and computational analysis of
neural data, with a strong focus on a complementary theoretical and
experimental training. Three lab rotations and a Master's thesis are
accomplished in the second year. The aim of the program is to provide
the students with an interdisciplinary education and an early contact to
the neurocomputational research environment.
*Requirements* BSc or equivalent degree in a relevant subject (typically
in the natural sciences, in an engineering discipline, in cognitive
science, or in mathematics), certificate of English proficiency, proof
of sufficient mathematical knowledge (at least 24 ECTS credit points).
_Neurosciences in Berlin_
_International PhD Fellowships_
The BCCN Berlin is part of the newly created Einstein Center for
Neurosciences Berlin (ECN). The ECN was initiated by the joint research
networks listed below to harmonize existing training programs in the
neurosciences in Berlin, with the goal of strengthening an already
strong research landscape and consolidating a PhD education equal to the
highest international standards.
The ECN invites applications for *scholarships* for its PhD program
starting in Fall 2017. Deadline for application is *January 15* 2017.
ECN member institutions are:
The Berlin School of Mind and Brain
The Bernstein Center for Computational Neuroscience Berlin
The Center for Stroke Research Berlin
The Cluster of Excellence NeuroCure
The ECN member institutions promote cutting-edge neuroscientific
research across a wide range of different disciplines and approaches.
The ECN provides the umbrella structure that specifically fosters
interdisciplinary, collaborative research by facilitating cooperation
between these institutions, and by promoting interaction on all levels.
With around 100 internationally recognized research groups, the ECN
offers outstanding interdisciplinary training and research opportunities
for national and international scientists, with research spanning from
synapse to behavior, molecule to disease, and brain to mind.
How to apply: Visit http://www.ecn-berlin.de/
Closing date for applications is January 15, 2017. The final interview
will take place in March 2017.
The ECN is an inter-institutional research network funded by Einstein
Foundation Berlin and jointly supported by the Charit? -
Universit?tsmedizin Berlin, the Freie Universit?t Berlin, the
Humboldt-Universit?t zu Berlin and the Technische Universit?t Berlin, as
well as the non-university partners Max Delbr?ck Center for Molecular
Medicine and Leibniz-Institut f?r Molekulare Pharmakologie.
~~~
_For more information_ ...
... come and visit us at the BCCN Berlin:
https://www.bccn-berlin.de/Home/Contact/How_to_reach/
... or browse:
www.computational-neuroscience-berlin.de
... or e-mail:
graduateprograms at bccn-berlin.de .
Best regards,
Robert Martin
--
Robert Martin, PhD
Teaching Coordinator
Bernstein Center for Computational Neuroscience
Humboldt-Universitaet zu Berlin
Philippstr. 13 House 6; 10115 Berlin; Germany
Phone/Fax +49 (0)30 2093 6773/6771
http://www.computational-neuroscience-berlin.de
GRK 1589/1, Sensory Computation in Neural Systems
Technische Universitaet Berlin
Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin
Phone/Fax +49 (0)30 314 72006/73121
http://www.eecs.tu-berlin.de/grk_15891/
From dengdehao at gmail.com Wed Jan 11 01:52:01 2017
From: dengdehao at gmail.com (Teng Teck Hou)
Date: Wed, 11 Jan 2017 14:52:01 +0800
Subject: Connectionists: [EAIS 2017] Paper Submission deadline is on Sunday,
15th January 2017 2359 UTC-12hr
Message-ID: <003201d26bd7$3705e6c0$a511b440$@gmail.com>
[Apologies for cross-postings]
##################################################
CALL FOR PAPERS
IEEE Conference on Evolving and Adaptive Intelligent Systems
(EAIS 2017)
May 31- June 2, 2017, Ljubljana, Slovenia
http://msc.fe.uni-lj.si/eais2017/
##################################################
The 2017 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS
2017) will be held in Ljubljana (Slovenia), a beautiful medieval town.
Ljubljana lies halfway between Vienna and Venice, at the crossroads of
different cultures, geographical regions, and historical developments.
Compared to other capitals, Ljubljana is very small, very green, and very
walking-friendly town, which makes it a great place to explore on foot. It
is in the center of Slovenia and enables exploring some of the most popular
tourist sights of Slovenia in one day. Visit enchanting Bled, with its
medieval castle perched upon the lake, explore mysterious Predjama castle
and end the trip by visiting Postojna cave, Slovenia's number 1 attraction.
EAIS 2017 will provide a working and friendly atmosphere and will be a
leading international forum focusing on the discussion of recent advances,
the exchange of recent innovations and the outline of open important future
challenges in the area of Evolving and Adaptive Intelligent Systems.
Over the past decade, this area has emerged to play an important role on a
broad international level in today's real-world applications, especially
those ones with high complexity and dynamics change. Its embedded modelling
and learning methodologies are able to cope with real-time demands, changing
operation conditions, varying environmental influences, human behaviors,
knowledge expansion scenarios and drifts in online data streams.
EAIS 2017 is organized by the IEEE Technical Committee on Evolving and
Adaptive Intelligent Systems, SMC Society. The conference series has a
history starting in 2006 in Lake District (England). It was held after that
in Witten-Bommerholz (Germany), Nashville (USA), Leicester (England), Paris
(France), Madrid (Spain), Singapore, Linz (Austria), Douai (France), and
Natal (Brasil). Authors of selected papers will be invited to submit
extended versions for possible inclusion in a special issue of the Journal
Evolving Systems (Springer).
##############################Important Dates##############################
* Paper Submission
January 15, 2017
* Paper Decision Notification
February 24, 2017
* Camera-Ready Submission
March 24, 2017
* Authors registration
March 24, 2017
* Conference
May 31 - June 2, 2017
###########################################################################
##########################Keynote Speakers##########################
* Plamen Angelov, Professor, Lancaster University, United Kingdom
* Fernando Gomide, Professor, University of Campinas, Brazil
* Nikola Kasabov, Professor of Computer Sience, Auckland University of
Technology, New Zealand
####################################################################
##########################Accepted Special
Sessions##########################
1. Computational Intelligence in Control of Power Generating
Systems,
Transmission and Load Management,
Session proposer: Horst Schulte, HTW Berlin
Email: Horst.Schulte at HTW-Berlin.de
############################################################################
#
############Paper Submission and Publication############
* Papers for EAIS 2017 should be submitted electronically through the
Conference website at http://msc.fe.uni-lj.si/eais2017.
* Submitted papers will be refereed by experts in the fields and ranked
based on the criteria of originality, significance, quality and clarity.
########################################################
########################################################
IEEE Autonomous Learning Machines Competition
ALMA Competition is organized by IEEE SMC Society. The goal of this
competition is to increase the level of autonomy of the learning algorithms.
Competition Tracks:
1. New data sets and streams that are suitable demonstrators for the topic
of the competition.
2. New methods and algorithms for Autonomous Machine Learning in:
. Clustering
. Classification
. Control
. Prediction
Awards:
Track 1 - $1000
Track 2 - $1000 in each category ($4000).
Important Dates:
31 January, 2017.
Deadline for submitting the algorithms in open source GNU license format.
The proposed methods and algorithms must be described in form of papers and
submitted to the ALS Competition track of EAIS 2017 and presented at the
conference (which will be held in Ljubljana, Slovenia).
May 31- June 2, 2017.
Results will be announced during the conference EAIS 2017.
########################################################
##################Topics and Areas of Interest##################
This conference solicits papers addressing original works in topics and
areas of interest including, but are not limited to:
* Basic Methologies
Evolving Soft Computing Techniques
Evolving Fuzzy Systems
Evolving Rule-Based Classifiers
Evolving Neuro-Fuzzy Systems
Adaptive Evolving Neural Networks
Adaptive Evolving Fuzzy Systems
Online Genetic and Evolutionary Algorithms
Data Stream Mining
Incremental and Evolving Clustering Approaches
Adaptive Control
Adaptive Pattern Recognition
Computational Intelligence in Control and Estimation
Incremental and Evolving ML Classifiers
Adaptive Statistical Techniques
Evolving Decision Systems
Big Data
Advanced Concepts
* Problems and Methodologies in Data Streams
Stability, Robustness, Convergence in Evolving Systems
Online Feature Selection and Dimension Reduction
Online Active and Semi-supervised Learning
Online Complexity Reduction
Computational Aspects
Interpretability Issues
Incremental Adaptive Ensemble Methods
Online Bagging and Boosting
Self-monitoring Evolving Systems
Human-Machine Interaction Issues
Hybrid Modeling
Transfer Learning
Reservoir Computing
Real-world Applications
* EIS for On-Line Modeling, System Identification, and Control
EIS for Time Series Prediction
EIS for Data Stream Mining and Adaptive Knowledge Discovery
EIS in Robotics, Intelligent Transport and Advanced
Manufacturing
EIS in Advanced Communications and Multi-Media Applications
EIS in Bioinformatics and Medicine
EIS in Online Quality Control and Fault Diagnosis
EIS in Condition Monitoring Systems
EIS in Adaptive Evolving Controller Design
EIS in User Activities Recognition
EIS in Huge Database and Web Mining
EIS in Visual Inspection and Image Classification
EIS in Image Processing
EIS in Cloud Computing
EIS in Multiple Sensor Networks
EIS in Query Systems and Social Networks
EIS in Alternative Statistical and Machine Learning
Approaches
################################################################
##########################Organizing Committee##########################
* Honorary Chairs
Plamen Angelov, UK
Dimitar Filev, USA
Nikola Kasabov, New Zealand
* Conference Chair
Igor ?krjanc, chair, Slovenia
Sa?o Bla?ic, co-chair, Slovenia
* Publication Chairs
Edwin Lughofer, Austria
Sa?o Bla?ic, Slovenia
* Local Arrangement Chairs
Dejan Dov?an, Slovenia
Milan Simcic, Slovenia
* Web & Publicity Chair
Jos? A. Iglesias, Spain
Teck-Hou Teng, Singapore
* Special Session Chair:
Radu-Emil Precup, Romania
* Program Committee Chair:
Igor ?krjanc, Slovenia
* International Program Committe
Cesare Alippi, Italy
Plamen Angelov, UK
Rosangela Ballini, Brazil
Rashmi Dutta Baruah, India
Abdelhamid Bouchachia, UK
Jorge Cassillas, Spain
Bruno Costa, Brazil
Dejan Dov?an, Slovenia
Alain Droniou, France
Dimitar Filev, USA
Nadine Gaertner, Germany
Joao Gama, Portugal
Fernando Gomide, Brazil
Jose Antonio Iglesias Mart?nez, Spain
Lazaros Iliadis, Greece
Nik Kasabov, New Zealand
Ju? Kocijan, Slovenia
Ana Kosareva, Germany
Rudolf Kruse, Germany
Agapito Ledezma, Spain
Daniel Furtado Leite, Brazil
Andre Lemos, Brazil
Chin Teng Lin, Taiwan
Edwin Lughofer, Austria
Yannis Manolopoulos, Greece
Trevor Martin, UK
Moamar Sayed Mouchaweh, France
Veronika Nesheva, UK
Seiichi Ozawa, Japan
Witold Pedrycz, Canada
Radu-Emil Precup, Romania
Jose de Jesus Rubio, Mexico
Araceli Sanchis de Miguel, Spain
Horst Schulte, Germany
Olga Senyukova, Russia
Teck Hou Teng, Singapore
Marley Vellasco, Brazil
Di Wang, UAE
Wilson Wang, Canada
Ronald Yager, USA
#######################################################################
#########################Sponsoring Organizations#########################
* IEEE
* Laboratory of Modeling, Simulation and Control, University of Ljubljana
* Laboratory of Autonomous Mobile Systems, University of Ljubljana
##########################################################################
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From timvogels at gmail.com Wed Jan 11 19:37:49 2017
From: timvogels at gmail.com (timvogels at gmail.com)
Date: Thu, 12 Jan 2017 00:37:49 +0000
Subject: Connectionists: 3 neuroinformatics positions in the Vogels Group at
Oxford University
Message-ID:
Dear all,
We are opening three positions (2 postdocs and a technician) in my lab to continue the work on icg.neurotheory.ox.ac.uk . Our first paper is still in revision, but its pretty close to out now, so if we?re lucky, at some point it will make it out into the world. You can find a preprint at
http://www.biorxiv.org/content/early/2016/06/16/058685 .
If you are interested (or you know someone who would be interested) in any of the open positions, please find the first two ads with information on how to apply here: bit.ly/2i8zKQU and here: bit.ly/2jkz4cn
Deadline is the 10th of February 2017 but we will keep looking until we find suitable applicants. The starting date is negotiable.
We are looking for people who can code up a storm, love neurobiology and neuroinformatics and work well in a team environment. Successful candidates will work with the other members of the @icgenalogy project within the Vogels lab, http://www.neurotheory.ox.ac.uk/~timv at the cncb.ox.ac.uk at the University of Oxford.
We will collaborate with https://senselab.med.yale.edu/ModelDB/ and hope to integrate also with http://www.opensourcebrain.org/ , http://www.treestoolbox.org/index.html , and any other open source brain simulation databases that wants to coordinate their efforts.
Below, please find additional information for the posts, but do feel free to drop me a line if you have any questions. Applications from women and minority groups are encouraged.
All the best,
Tim Vogels
------------------
Prof Tim Vogels
Sir Henry Dale Research Fellow, Associate Professor
Centre for Neural Circuits and Behaviour and Oriel College
Department of Physiology, Anatomy & Genetics
University of Oxford
Mansfield Road
Oxford, OX1 3SR
http://cncb.ox.ac.uk
http://www.neurotheory.ox.ac.uk/~timv
Postdoctoral Research Scientist in Computational Neuroscience
Department of Physiology, Anatomy and Genetics, Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford
Grade 7.1 ?31,076 p.a.
We are seeking to appoint a Postdoctoral Research Scientist to support and expand ongoing neuroinformatics research (https://icg.neurotheory.ox.ac.uk) undertaken in the Vogels Group at the Centre for Neural Circuits and Behaviour. The candidate will contribute to the development of approaches for the quantitative analysis, comparison and categorisation of published neuroscientific models and experimental data, aiding in field-wide standardization of experimentally-constrained modelling.
The researcher will be expected to carry out simulations of morphologically detailed neuron models and neuronal networks in the NEURON simulation environment, and should be familiar with, and able to implement, standard models of ion channel function. Additionally, he/she will develop neuroinformatics infrastructure for the storage, classification and visualisation of experimental and simulated data. The successful candidate will also perform general laboratory duties to include keeping accurate records of work carried out, maintaining adequate levels of general laboratory consumables, to take part in and make regular reports at laboratory meetings and to share responsibility for general data management of the lab. The candidate will also be expected to guide and support the progress of the Graduate students in the lab. Some ad hoc teaching may also be required.
The successful candidate must have a demonstrable academic interest in both computer science and the neurosciences with a PhD in neuroscience, computer science or a related discipline. They will have experience with object oriented programming, be familiar with Git and team-based software development and have laboratory experience in computational neuroscience, neuroinformatics and computer science. They should have good written and oral communication skills and be able to work as part of team and to collaborate with other colleagues on a wide range of projects.
The successful candidate will be based at the Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford, OX1 3TA.
This is a full-time, fixed-term post until March 2020 funded by the BBSRC (Biotechnology and Biological Sciences Research Council).
The closing date for applications is 12.00 noon on 10 February 2017.
Lab Technician
Department of Physiology, Anatomy and Genetics, Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford
Grade 5: ?24,565 p.a.
We are seeking to appoint a Research Technician to support and expand ongoing neuroinformatics research (https://icg.neurotheory.ox.ac.uk) undertaken in the Vogels Group at the Centre for Neural Circuits and Behaviour. The candidate will contribute to the development of approaches for the quantitative analysis, comparison and categorisation of published neuroscientific models and experimental data, aiding in field-wide standardisation of experimentally-constrained modelling.
The technician will be responsible for the curation and maintenance of a large database of published neuroscientific models and simulation data. For the expansion of the database, he/she will be expected to extract and annotate data from publications, as well as manipulate code for neuroscientific models to comply to standardized specifications. This includes the conversion of existing code between common neuronal simulator frameworks (e.g. Neuron, Moose, and Genesis).
The research technician will preferably have extensive experience in neuroscience and/or computer science, or a related discipline such as maths, physics or biophysics. The post has high potential for training in neuroscience and would be an excellent starting point for a career in computational neuroscience or neuroinformatics. The candidate will be expected to work in close collaboration with all team members.
The successful candidate will also perform general laboratory duties to include keeping accurate records of work carried out, maintaining adequate levels of general laboratory consumables, to take part in and make regular reports at laboratory meetings and to share responsibility for general data management of the lab.
This post is funded by the Biotechnology and Biological Sciences Research Council for a fixed-term of 3 years.
The closing date for applications is 12.00 noon on 10th February 2017.
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From he at ele.uri.edu Wed Jan 11 20:34:15 2017
From: he at ele.uri.edu (Haibo He)
Date: Wed, 11 Jan 2017 20:34:15 -0500
Subject: Connectionists: Faculty Position Announcement - Robotics
Message-ID: <949268A5-311D-48C3-AA5C-0E49C348D4DF@ele.uri.edu>
Tenure-Track Assistant Professor of Electrical Engineering
Department of Electrical, Computer, and Biomedical Engineering
University of Rhode Island
Kingston, RI, USA
Applications are invited for a tenure-track position in Electrical Engineering at the rank of Assistant Professor beginning in Fall 2017. We are particularly interested in candidates working in one or more areas of robotics including, but not limited to, industrial robots, mobile robots, or autonomous vehicles and drones, and who have some background in control theory. A doctorate in Electrical Engineering or closely related field is required at the time of appointment. The successful candidate will be expected to teach and develop undergraduate and graduate courses and establish a high-quality, externally-funded, research program.
The Department of Electrical, Computer and Biomedical Engineering offers programs leading to the BS, MS, and PhD degrees. The interdisciplinary nature of our Department will provide the new faculty member with opportunities to interact with a broad range of colleagues. A brand-new 195,000 square foot engineering building has recently been approved (construction to start in 2016) will provide an excellent environment for interdisciplinary research collaborations.
The University of Rhode Island is a comprehensive doctoral research, Land Grant, Sea Grant and Urban Grant University. URI College of Engineering offers innovative undergraduate and graduate programs, stresses links between diverse fields of inquiry, and values outreach, scholarship, and laboratory-based learning. The University of Rhode Island is a medium-sized public university located near the southeastern end of the state and picturesque New England. The main campus is located in Kingston, an established, family-friendly, small community only five miles from the Narragansett Bay and the Atlantic Ocean. Rhode Island?s proximity to the ocean moderates its weather compared to other New England States. The region offers excellent outdoor recreational activities, good public school systems, and ready access by car or public transportation to Providence, Boston, New Haven, and New York City metropolitan areas and airports.
Required Qualifications
1. An earned doctorate in electrical engineering or closely related field at the time of appointment.
2. Demonstrated record of scholarly activity in one or more areas of robotics, including, but not limited to, industrial robots, mobile robots, or autonomous vehicles and drones.
3. Demonstrated background in control systems.
4. Demonstrated ability to work with diverse groups.
5. Demonstrated proficiency in written communication skills.
6. Demonstrated proficiency in oral communication skills.
Preferred Qualifications
1. Demonstrated ability to teach undergraduate and graduate courses in robotics
2. Demonstrated ability to teach undergraduate and graduate courses in control theory.
3. Demonstrated ability to work in multi-disciplinary teams.
4. Demonstrated ability to develop an externally funded research program.
First consideration will be given to applications received by January 15, 2017. Second consideration may be given to applications received by February 15, 2017. The anticipated start date is August 2017, and salary is commensurate with qualifications and experience. Applicants should submit the following: (1) a cover letter; (2) a complete curriculum vitae including the full contact information for at least three professional references; (3) a narrative, limited to two pages, describing your research and how it relates to the required qualifications; (4) a narrative, limited to one page, describing your teaching background, philosophy, and preferences, including existing courses in our department and new courses you might develop. Submit applications on-line at https://jobs.uri.edu/postings/1921. Additional information is available at the URI Department of Electrical, Computer and Biomedical Engineering web site, www.ele.uri.edu. Questions about the position can be forwarded to the Chair of the Search Committee, Dr. Richard Vaccaro, vaccaro at ele.uri.edu.
We hope to attract applicants who can teach in a diverse University community and have demonstrated ability in helping students from diverse backgrounds succeed. We are committed to building a multicultural work force and strongly encourage women, racial/ethnic/gender minorities, persons with disabilities, and covered veterans to apply. The University of Rhode Island is an Equal Opportunity/Affirmative Action employer.
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From J.Spencer at uea.ac.uk Thu Jan 12 03:50:25 2017
From: J.Spencer at uea.ac.uk (John Spencer (PSY))
Date: Thu, 12 Jan 2017 08:50:25 +0000
Subject: Connectionists: Fancy a change in 2017? Faculty posts in the UK...
Message-ID:
Greetings Colleagues,
The School of Psychology at the University of East Anglia (https://www.uea.ac.uk/psychology) has 5 faculty positions available at the Lecturer (Assistant Prof) / Senior Lecturer/Reader (Associate Prof) / and Professor levels. This is part of a major expansion of the School; as such, we welcome interest from research teams who might offer concentrated strength in a single area.
The School of Psychology is the newest school at UEA, and the first new School of Psychology to be formed in a research-intensive university in the UK for many years. These posts signal UEA's commitment to investment in world-class research, forming part of an ambitious expansion plan to create a world-leading faculty bridging disciplines to yield deep understanding of the processes that underlie and organise human behaviour.
We are currently building a strength in the area of systems neuroscience, including a variety of imaging approaches as well as computational neuroscience. UEA has fantastic research facilities (fNIRS, fMRI, TMS, EEG, eye-tracking, virtual reality), a lovely campus, and it is situated in Norwich, UK - a wonderful place to live, with a castle, cathedrals, restaurants, and pubs.
If you have any questions about the posts, do let me know. Details can be found at:
https://www.uea.ac.uk/hr/vacancies/academic/-/asset_publisher/h0n2rDvu3ug8/content/lecturer-senior-lecturer-reader-professor-in-psychology-5-posts-?inheritRedirect=false&redirect=https%3A%2F%2Fwww.uea.ac.uk%2Fhr%2Fvacancies%2Facademic%3Fp_p_id%3D101_INSTANCE_h0n2rDvu3ug8%26p_p_lifecycle%3D0%26p_p_state%3Dnormal%26p_p_mode%3Dview%26p_p_col_id%3Dcolumn-2%26p_p_col_count%3D1
Cheers,
John Spencer
John P. Spencer, PhD
Professor
School of Psychology,
Room 0.09
Lawrence Stenhouse Building,
University of East Anglia,
Norwich Research Park,
Norwich NR4 7TJ
United Kingdom
Email: j.spencer at uea.ac.uk
School website: http://www.uea.ac.uk/psy
Telephone 01603 593968
[cid:image001.png at 01D09851.EF67E200]
UK Top 15 (Times and Sunday Times Good University Guide 2017)
UK Top 5 for Student Satisfaction (National Student Survey, 2005-2016)
World Top 1% (Times Higher Education World Rankings 2016-17)
World Top 100 for Research Excellence (Leiden Ranking 2016)
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From steve at bu.edu Thu Jan 12 08:51:59 2017
From: steve at bu.edu (Stephen Grossberg)
Date: Thu, 12 Jan 2017 08:51:59 -0500
Subject: Connectionists: Towards solving the Hard Problem of Consciousness
Message-ID:
Dear Colleagues,
I am writing to call your attention to my article about the Hard Problem of Consciousness. The results have enabled me to explain lots of psychological and neurobiological data about normal subjects and clinical patients for which I can find no other explanations, let alone explanations as part of an emerging unified theory.
The article is published Open Access so anyone can read it.
Grossberg, S. (2017). Towards solving the Hard Problem of Consciousness:
The varieties of brain resonances and the conscious experiences that they support
Neural Networks 87, 38?95
http://www.sciencedirect.com/science/article/pii/S0893608016301800
Best,
Steve
Stephen Grossberg
http://en.wikipedia.org/wiki/Stephen_Grossberg
http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I
Wang Professor of Cognitive and Neural Systems
Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering
Director, Center for Adaptive Systems
http://cns.bu.edu/~steve
steve at bu.edu
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From pierre-yves.oudeyer at inria.fr Thu Jan 12 08:57:58 2017
From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer)
Date: Thu, 12 Jan 2017 14:57:58 +0100
Subject: Connectionists: [CFP] Designing for Curiosity: An Interdisciplinary
Workshop at CHI 2017, Denver, Colorado US
Message-ID: <2C5A4D4C-DE9F-47EE-B4EE-4EFC5C7FCFE1@inria.fr>
Designing for Curiosity: An Interdisciplinary Workshop
CHI 2017 (https://chi2017.acm.org)
May 7, 2017, Denver CO
Workshop website: https://www.crowdcurio.com/research/workshops/chi2017/
Submission deadline: February 24th, 2017
Curiosity - the desire to know, to see, or to experience that motivates exploratory behavior directed towards the acquisition of information - is an extensively-studied phenomenon that has broad implications for artificial intelligence, HCI and cognitive sciences, with applications ranging from design to educational technologies, video games, persuasive health techs, art or crowdsourcing.
Through this workshop, we aim to build a interdisciplinary community of academic researchers who have engaged with the term curiosity in their work, including computer scientists (in artificial intelligence, robotics, human-computer interaction), developmental psychologists, behavioral economists, education, marketing, neuroscience, as well as practitioners such as painters, architects, game designers, screenwriters.
This session will enable networking, new collaborations and potentially novel ways of exploiting such research from the perspective of different domains.
The workshop will feature invited speakers and a poster session, organized along three panels probing at the theoretical, engineering and design aspect of curiosity in human-computer interaction:
Panel 1. Theoretical?Understanding Curiosity
There is a set of closely related concepts with curiosity, e.g., serendipity, interest, intrinsic motivation and goal-setting, creativity. What are the links between these closely related concepts? What are the most relevant theories connecting these related concepts to curiosity? By drawing together theory and practice, we can get a better understanding of what curiosity means, and how theoretical concepts of curiosity can be leveraged in designing systems of human-computer interaction in the real world.
Panel 2. Engineering?Modeling Curiosity
From robots to embodied agents, what are the various ways to model systems that exhibit artificial curious behavior? How can it allow AI systems to be more open and flexible? How do users typically respond to artificial intelligent systems that act curiously? How do we model curiosity in endusers of everyday application? What observable actions or characteristics do we use as proxies of curiosity (e.g., information seeking behavior, engagement) and what are the advantages and pitfalls of each of those proxies?
Panel 3. Design?Designing for Curiosity
From art, literature, film, architecture, game design, to education, how do practitioners use the concept of curiosity to draw their audience in? How do we transfer these techniques to design curiosity into end-user applications?
Invited Speakers
Justine Cassell -- Carnegie Mellon University (Human-Computer Interaction)
Kenneth Stanley -- University of Central Florida (Artificial Intelligence)
George Loewenstein -- Carnegie Mellon University (Behavioural Economics)
Jessica Hammer -- Carnegie Mellon University (Game Design)
Russell Golman -- Carnegie Mellon University (Behavioural Economics)
Dana Kulic -- University of Waterloo (Artificial intelligence and Robotics)
Philip Beesley -- University of Waterloo (Architecture)
Yukie Nagai -- Osaka University (Robotics)
Celeste Kidd -- University of Rochester (Cognitive Science)
Rob Saunders -- University of Sydney (Design Computing and AI)
Vittorio Loreto -- University of Rome (Physics and AI)
Simon Colton -- University College London (Design and AI)
Submissions
We invite submissions of position papers, at most 2 pages in length in the ACM Extended Abstract format (https://chi2017.acm.org/submission-formats.html) that address one or more of the above topics. Position papers should include a brief biography, and an overview of how the author?s work relates to studies of curiosity. Accepted submissions will be presented as posters during the workshop in order to facilitate an interactive discussion. Submissions should be sent direct to designingforcuriosity at gmail.com, where they will be curated by the workshop organizers. At least one author of each accepted position paper must attend the workshop and all participants must register for both the workshop and for at least one day of the conference.
==> Deadline is February 24, 2017.
Funding
Several student travel grants will be available thanks to sponsorship from Microsoft-Inria Joint Research Center. Each grant covers expenses of the travel up to 500 euros, and will be awarded to student authors based on needs and the quality of their submissions. Students can apply for the travel grant by indicating their interest in the submission email
Organizers
Edith Law (University of Waterloo), http://edithlaw.ca
Pierre-Yves Oudeyer (Inria), http://www.pyoudeyer.com
Alex C. Williams (University of Waterloo), http://acw.io
Mike Schaekermann (University of Waterloo), https://cs.uwaterloo.ca/~mschaeke/bio-and-research/
Ming Yin (Harvard University), http://people.seas.harvard.edu/~myin/
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From gluck at pavlov.rutgers.edu Thu Jan 12 10:59:15 2017
From: gluck at pavlov.rutgers.edu (Mark Gluck)
Date: Thu, 12 Jan 2017 10:59:15 -0500
Subject: Connectionists: Dear Aging/Alzheimer's Colleagues: Rutgers Medical
School Seeks Applicants for Endowed Chair in Alzheimer's
Disease (ideally to build up a Dementia/AD center)
References:
Message-ID: <7A2766C8-F362-404E-9998-113D06B04A7D@pavlov.rutgers.edu>
Dear Aging/Alzheimer's Colleagues:
Rutgers Medical School Seeks Applicants for Endowed Chair in Alzheimer's Disease. See notice below.
The ideal candidate would be someone who is currently at a major Dementia/AD research and clinical care center and would be interested in coming to Rutgers University in New Jersey to build up a clinical and research center of excellence in Alzheimer?s and related neurodegenerative diseases. It would be helpful to have someone with both clinical and research experience, as well as a history of working with pharmaceutical and federal funders of clinical Alzheimer?s research and trials.
To apply, please send applications to terri.wood at rutgers.edu or bhi at ca.rutgers.edu .
I would be happy to be cc?ed on the initial correspondence to gluck at rutgers.edu .
For more information on our own NIA and NJ DOH-funded research in Newark on aging and Alzheimer?s diseases in African Americans, see www.brainhealth.rutgers.edu , the website of our African American Brain Health Initiative at Rutgers University.
- Mark Gluck
___________________________________
Dr. Mark A. Gluck, Professor
Center for Molecular & Behavioral Neuroscience
Rutgers University ? Newark
197 University Ave.
Newark, New Jersey 07102
Web: http://www.gluck.edu
Email: gluck at pavlov.rutgers.edu
Ph: ( 973) 353-3298
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From alessandra.sciutti at gmail.com Thu Jan 12 11:15:43 2017
From: alessandra.sciutti at gmail.com (Alessandra Sciutti)
Date: Thu, 12 Jan 2017 17:15:43 +0100
Subject: Connectionists: First CFP: Special issue @ IEEE Transactions on
Cognitive and Developmental Systems (TCDS)
Message-ID: <020101d26cef$2089a1c0$619ce540$@gmail.com>
APOLOGIES FOR MULTIPLE POSTINGS
****************************************************************************
****************
Call for papers
IEEE Transactions on Cognitive and Developmental Systems (TCDS)
Special Issue on "A sense of interaction in humans and robots: from visual
perception to social cognition"
http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7274989
Guest Editors
Alessandra Sciutti (alessandra.sciutti at iit.it)
Nicoletta Noceti (nicoletta.noceti at unige.it)
****************************************************************************
****************
Important Dates
30 March 2017 - Deadline for title and abstract submission
30 June 2017 - Deadline for manuscript submission
15 September 2017 - Notification to authors
15 October 2017- Deadline for submission of revised manuscripts
15 November 2017 - Final decisions
Winter 2017 - Special Issue Publication in IEEE TCDS
Aim and Scope
Since early infancy, the ability of humans at interacting with each other is
substantially strengthened by vision, with several visual processes tuned to
support prosocial behaviour. For instance, a natural predisposition to look
at human faces or to detect biological motion is present at birth. More
refined abilities - as the understanding and anticipation of others' actions
and intentions- progressively develop with age, leading, in a few years, to
a full capability of interaction based on mutual understanding, joint
coordination and collaboration.
A key challenge of robotics research nowadays is to provide artificial
agents with similar advanced visual perception skills, with the ultimate
goal of designing machines able to recognise and interpret both explicit and
implicit communication cues embedded in human behaviours. These achievements
pave the way for the large-scale use of Human-Robot Interaction applications
on a variety of contexts, ranging from the design of personal robots, to
physical, social and cognitive rehabilitation.
This special issue is aimed at gathering contributions from different
research communities, including Robotics, Computer Vision, Cognitive
Science, Psychology and Neuroscience, to create a comprehensive perspective
on the topic of social interaction in humans and robots, with a specific
reference to the role of human and machine perceptual abilities in
supporting interactive skills. Contributions may focus on human visual
perception for interaction on the one hand, and on the implementation of
machine vision methods aimed at improving human-human or human-machine
interaction on the other. This multidisciplinary effort is expected to bring
innovations in fields as social robotics and human- machine interaction, but
also in domains like developmental psychology and cognitive rehabilitation.
Themes
Understanding how efficient and seamless collaborations can be achieved
among human partners and which are the explicit and implicit cues
intuitively adopted in human cooperation would provide key insights on how
to model a similar ability in the future interactive machines.
This special issue wants to address these relevant questions both from the
side of the study of human perception for interaction and from the
implementation perspective, considering new algorithms and modelling efforts
brought forward to improve current robotics.
Topics include (but are not limited to) the following
* Computational Models of Visual Perception for Interaction
* Perception of Intentions and Actions
* Vision for Robotics and Artificial intelligence in Social
Contexts
* Neuroscientific bases of Interaction
* Development of Social Cognition in Humans
* Social Signals Recognition and Analysis
* Human-Robot Interaction
* Emotion Recognition for Interaction
* Machine Learning for Visual Perception
Submission:
Manuscripts should be prepared according to the "Information for Authors" of
the journal found at:
http://cis.ieee.org/ieee-transactions-on-cognitive-and-developmental-systems
/131-ieee-transactions-on-autonomous-mental-development-information-for-auth
ors.html and submissions should be made through the IEEE TCDS Manuscript
center at https://mc.manuscriptcentral.com/tcds-ieee selecting the category
"SI: Human Robot Interaction".
Prospective authors are kindly asked to contact the guest editors by sending
an e-mail to alessandra.sciutti at iit.it , and nicoletta.noceti at unige.it
providing a tentative title and abstract of the contribution by 30 March,
2017.
----------------------------------------
Alessandra Sciutti (PhD)
Researcher, Robotics Brain and Cognitive Sciences Unit
Istituto Italiano di Tecnologia
Center for Human Technologies
Via Enrico Melen 83, Building B
16152 Genova, Italy
tel: +39 010 8172 210
email: alessandra.sciutti at iit.it
website:
https://www.iit.it/people/alessandra-sciutti
From pblouw at uwaterloo.ca Thu Jan 12 14:54:20 2017
From: pblouw at uwaterloo.ca (Peter Blouw)
Date: Thu, 12 Jan 2017 14:54:20 -0500
Subject: Connectionists: Feb. 15 Application Deadline - 2017 Nengo Summer
School
Message-ID:
Hello!
[All details about this school can be found online at
http://www.nengo.ca/summerschool]
The Centre for Theoretical Neuroscience at the University of Waterloo is
inviting applications for our 4th annual summer school on large-scale brain
modeling. This two-week school will teach participants how to use the Nengo
software package to build state-of-the-art cognitive and neural models to
run in simulation and on neuromorphic hardware. Nengo has been used to
build what is currently the world's largest functional brain model, Spaun
[1], and provides users with a versatile and powerful environment for
designing cognitive and neural systems to run in simulated and real
environments. For a look at last year's summer school, check out this short
video: https://goo.gl/EkhWCJ
We welcome applications from all interested graduate students, research
associates, postdocs, professors, and industry professionals. No specific
training in the use of modeling software is required, but we encourage
applications from active researchers with a relevant background in
psychology, neuroscience, cognitive science, robotics, neuromorphic
engineering, computer science, or a related field.
[1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y.,
Rasmussen, D. (2012). A large-scale model of the functioning brain.
Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [
http://nengo.ca/publications/spaunsciencepaper]
****Application Deadline: February 15, 2017****
*Format*: A combination of tutorials and project-based work. Participants
are encouraged to bring their own ideas for projects, which may focus on
testing hypotheses, modeling neural or cognitive data, implementing
specific behavioural functions with neurons, expanding past models, or
providing a proof-of-concept of various neural mechanisms. Hands-on
tutorials, work on individual or group projects, and talks from invited
faculty members will make up the bulk of day-to-day activities. A project
demonstration event will be held on the last day of the school, with prizes
for strong projects!
*Topics Covered*: Participants will have the opportunity to learn how to:
- build perceptual, motor, and sophisticated cognitive models using
spiking neurons
- model anatomical, electrophysiological, cognitive, and behavioural data
- use a variety of single cell models within a large-scale model
- integrate machine learning methods into biologically oriented models
- interface Nengo with various kinds of neuromorphic hardware (e.g.
SpiNNaker)
- interface Nengo with cameras and robotic systems
- implement modern nonlinear control methods in neural models
- and much more?
*Date and Location*: June 4th to June 16th, 2017 at the University of
Waterloo, Ontario, Canada.
*Applications*: Please visit http://www.nengo.ca/summerschool, where you
can find more information regarding costs, travel, lodging, along with an
application form listing required materials.
If you have any questions about the school or the application process,
please contact Peter Blouw (pblouw at uwaterloo.ca). We look forward to
hearing from you!
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From sheikh at tk.tu-darmstadt.de Thu Jan 12 16:33:01 2017
From: sheikh at tk.tu-darmstadt.de (Sheikh Mahbub Habib)
Date: Thu, 12 Jan 2017 21:33:01 +0000
Subject: Connectionists: CFP: IFIPTM 2017 (Deadline: Jan. 30)
Message-ID: <0EFBD807BC4DE04286BB540DC72ADDA8BC27E623@exchange01.tk.informatik.tu-darmstadt.de>
*Sincere apologies for cross-postings*
IFIPTM 2017 - Call for Papers
-------------------------------------------------------------------------------
The 11th IFIP International Conference on Trust Management
Gothenburg, 12-16 June 2017
http://ifiptm2017.chalmers.se
-------------------------------------------------------------------------------
Trust is an essential glue for any society, whether formed by human or artificial agents, whether in a real-life or an online setting. This trust needs to
be established, reinforced or abolished to reflect changes in the society and its participants. The mechanisms for such trust management may be
psychological or sociological in the case of humans, algorithmic or probabilistic, e.g., in the case of artificial agents. Services for brokering,
certification, recommendation, legal enforcement, identity and reputation management may also help the agent in this management task, and they are all the
more useful given the increasing scale and virtual nature of societies. Indeed, applications such as online social networks, collaborative systems or e-
commerce need to contend with high transaction volume, anonymity, and malicious behavior. Solutions to these challenges need to be validated using realistic
models and benchmarks.
Now in its 11th edition, IFIPTM is a well-established conference in the field of trust, security and privacy, and invites contributions in all aspects of
trust management, including but not limited to:
Trust in Information Technology
- formal aspects (specification, reasoning, and analysis)
- trust-based and trust-aware IT policy management
- trust in social networks and emerging contexts
- trust in collaborative applications, crowd-sourcing and wiki systems
- trust in human-computer interaction and usable systems
- case studies and applications
Socio-Technical, economic and sociological Trust
- economic modeling of trust, risk and control; economics of trusted data quality
- trust, control and reputation effects in social networking, e- and m-commerce
- trust and socio materiality; socio-technical network structures; biological trust
- ethical, sociological, psychological, legal aspects
Trust and reputation management systems
- architectures and models
- benchmarks, metrics and computation
Identity management and trust
- anonymity, privacy and accountability
- identity and personal information brokering
- legal aspects
Secure, trustworthy and privacy-aware systems
- platforms and standards
- software and services
Trust building in Large scale systems
- trust in Cloud environments
- large Identity Management Systems like UID/SSN, Banks, Mobile user groups
- trust management for large user groups including machine and human participation
SPECIAL TRACK
The special track "Trust on the road" aims to attract researchers and practitioners investigating issues of trustworthiness, security, privacy, and overall
trust in automotive systems. Such systems range from the individual vehicle to vehicles communicating both with other vehicles (v2v) and with the physical
infrastructure around them (v2i) as well as vehicles forming ad-hoc networks and using cloud-based networks for various services. The trustworthiness of
exchanged information, the security of the connections, the privacy of the data, and the trust of the user in the provided services are crucial for the
acceptance and proliferation of such safety-critical technology. In the context of the special track, we aim to explore the current state of the art and
future research directions with perspectives from researchers as well as representatives of the automotive industry.
In particular, we are interested in novel contributions with regard to the following topics focusing on trust within the automotive domain:
- Trust, security, privacy, liability, and dependability in vehicular networks
- Trust models and architectures for vehicular networks
- Security engineering, formal methods, development and validation tools
- In-vehicle communications (wireless or wired), in-vehicle architecture and system design
- Vehicle-to-vehicle (V2V) communications and integration with on-board systems and networks
- Vehicle-to-infrastructure (V2I) communications and protocols
- Security of software downloads and remote diagnostics
- In-vehicle communications and trust enhancing architectures (wireless or wired)
- Security and privacy issues when using cloud services
- Results from experimental systems, testbeds, and pilot studies
- Awareness applications in vehicular networks
- Applications and services to enhance safety, performance, and driver behavior
- Standardization efforts w.r.t. security, privacy and safety
PAPER SUBMISSION
IFIPTM 2017 welcomes submissions of both full and short papers on any topic related to the IFIPTM themes of trust, security and privacy and the topics
mentioned above. Submitted full papers must not exceed 16 pages in length, including bibliography and well-marked appendices; short papers must not exceed 8
pages in length. Interdisciplinary and multidisciplinary papers are encouraged and welcome. Submission will be through the EasyChair conference management
system. Papers must be submitted as a single PDF file, formatted using the LNCS format.
As previous editions, papers will be published by Springer under AICT series.
Submit at https://easychair.org/conferences/?conf=ifiptm2017.
Authors of selected papers will be invited to extend and improve their contributions for a special issue of the Web Intelligence journal (IOS Press).
IMPORTANT DATES
Paper submission: January 30, 2017 (firm deadline)
Author notification: March 6, 2017
Camera-ready version: March 27, 2017
Conference dates: June 12-16, 2017
ORGANISING COMMITTEE
General Chairs
Simone Fischer-H?bner, Karlstad University, Sweden
Stephen Marsh, University of Ontario Institute of Technology, Oshawa, Ontario, Canada
Program Chairs
Babak Esfandiari, Carleton University, Ottawa, Ontario, Canada
Jan-Philipp Stegh?fer, Chalmers | University of Gothenburg, Sweden
Graduate Symposium Chairs
Stephen Marsh, University of Ontario - Institute of Technology, Canada
Musard Balliu, Chalmers | University of Gothenburg, Sweden
Special Track Chair
Tomas Olovsson, Chalmers | University of Gothenburg, Sweden
Publicity Chair
Sheikh Mahbub Habib, TU Darmstadt, Germany
----
Dr. Sheikh M. Habib
Area Head, Smart Security and Trust
Telecooperation Division
Department of Computer Science
Technische Universit?t Darmstadt
Germany
Tel.:+4961511623199
Web: https://www.tk.informatik.tu-darmstadt.de/de/people/sheikh-mahbub-habib
From csafaksahin at gmail.com Thu Jan 12 21:14:58 2017
From: csafaksahin at gmail.com (cem safak sahin)
Date: Thu, 12 Jan 2017 21:14:58 -0500
Subject: Connectionists: CFP: Workshop on Inferring Networks from
Non-Network Data (NetInf17) @ SDM'17
Message-ID:
Dear colleagues,
We are organizing the Workshop on Inferring Networks from Non-Network Data
(NetInf17) at the next SDM. This workshop focuses on translating data to
networks representations for better domain insights. We're looking for
submissions ranging from exciting applications in this area, structural
inference and validation methodology, to position papers and open
challenges. Please consider contributing to this growing area.
*Deadline: Jan 15, 2017*
Site: http://compbio.cs.uic.edu/netinf17/
Thank you,
Ivan Brugere, Rajmonda Caceres, Brian Gallagher, Tanya Berger-Wolf
Organizers
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From bremeseiro at udc.es Fri Jan 13 04:33:05 2017
From: bremeseiro at udc.es (Beatriz Remeseiro =?utf-8?Q?L=C3=B3pez?=)
Date: Fri, 13 Jan 2017 10:33:05 +0100 (CET)
Subject: Connectionists: ICIAR 2017: Last Call for Papers (Deadline: January
23, 2017)
In-Reply-To: <1633091642.4196232.1481884257430.JavaMail.zimbra@udc.es>
References: <1633091642.4196232.1481884257430.JavaMail.zimbra@udc.es>
Message-ID: <1440109213.4417973.1484299985140.JavaMail.zimbra@udc.es>
--------------------------------------------------------------
Apologies if you receive this more than once.
--------------------------------------------------------------
=================================================================
CALL FOR PAPERS (Deadline: January 23, 2017)
http://www.aimiconf.org/iciar17
=================================================================
ICIAR 2017 - 14th INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND RECOGNITION
July 5-7, 2017, Montreal, Canada
http://www.aimiconf.org/iciar17
=================================================================
ICIAR News:
New submission deadline: January 23, 2017
Plenary Speakers: Terry Peters, Tien Bui, Andrew Wong
ICIAR Special Session/Workshop: Machine Learning for Medical Image Computing, chaired by Alex Wong and Farzad Khalvati
ICIAR Best paper Award
Travel grants of $500CAD each for a selected number of overseas students (out of North America)
=================================================================
Conference Chairs:
Fakhri Karray
University of Waterloo, Canada
Aurelio Campilho
University of Porto, Portugal
Farida Cheriet
Ecole Polytechnique de Montreal, Canada
Plenary Speakers:
Terry Peters
Robarts Research Institute, Western University, London, Canada
Tien Bui
Concordia University, Montreal, Canada
Andrew Wong
University of Waterloo, Canada
ICIAR Special Session/Workshop:
Machine Learning for Medical Image Computing
Workshop Chairs:
Alex Wong, University of Waterloo, Waterloo
Farzad Khalvati, Sunnybrook Research Institute, Toronto
=================================================================
ICIAR 2017 is the 14th of a series of ICIAR conferences organized in Portugal and Canada. Authors are invited to submit full papers showing original research contributions. The page limit is 8 pages (1-column - LNCS Springer format), plus 2 extra pages. The sessions will comprise invited keynote speakers and oral and poster presentations. Authors are invited to submit full papers under the topics of the conference, addressing original research developments. The conference proceedings will be published in the Springer LNCS - Lecture Notes in Computer Science series.
=================================================================
CONFERENCE TOPICS
=================================================================
FOCUS TOPICS
1) Machine Learning in Image Recognition
2) Image and Video Processing and Analysis:
Image restoration and enhancement
Image and video segmentation
Mathematical morphology
Color, texture and motion analysis
3D image analysis
Tracking
Shape and matching
Real time imaging
3) Image and Video Coding:
Still image and video coding
Image and video encryption
4) Image Retrieval and Indexing:
Image and video databases
Image and video retrieval and indexing
5) Pattern Recognition and Machine Learning Methods:
Feature extraction and selection methods
Classification and clustering techniques
Ensembles and multi-classifiers
Hybrid methods
Syntactical methods
6) Applications:
Biomedical imaging
Biometrics
Document processing
Remote sensing
Multimedia
Security systems
Visual inspection
Sports
Other applications
=================================================================
PAPER SUBMISSION
=================================================================
Authors are invited to submit full papers showing original research contributions. The conference proceedings is planned to be published in the Springer Lecture Notes in Computer Science series (Springer LNCS). Only electronic submission will be accepted through the conference paper submission web page. See the conference web site for details.
=================================================================
ICIAR Best Paper Award and Student travel Grants
=================================================================
ICIAR 2017 announces a Best Paper Award to a paper presented at the Conference and selected by an award committee. ICIAR 2017 also announces the availability of a limited number of student travel grants (STG) of $500CAD (five hundred Canadian dollars) each, to support the travel expenses of students from outside North America. The eligibility criteria for STG are: to be a full-time student; have at least one paper accepted; have registered and presenting a paper (oral or poster) in the conference.
=================================================================
IMPORTANT DATES
=================================================================
Paper Submission deadline: January 23, 2017
Author Notification: March 1, 2017
Camera-ready version: March 15, 2017
Paper registration: April 7, 2017
Conference: July 5-7, 2017
Please find the call for papers and more information at the conference website:
http://www.aimiconf.org/iciar17
=================================================================
From auke.ijspeert at epfl.ch Fri Jan 13 04:03:48 2017
From: auke.ijspeert at epfl.ch (Auke Ijspeert)
Date: Fri, 13 Jan 2017 10:03:48 +0100
Subject: Connectionists: AMAM 2017, Adaptive Motion of Animals and Machines,
June 27-30, Call for abstracts, Feb 10 deadline
Message-ID:
Call for Abstracts
The 8th International Symposium on Adaptive Motion of Animals and Machines
June 27 - 30, 2017
Clark Memorial Student Center, Hokkaido University, Sapporo, JAPAN
http://adaptivemotion.org/AMAM2017/
Understanding the mechanisms for adaptive behavior of animals helps us
realizing adaptive behavior of machines, and experimenting with machines
to realize adaptive behavior helps us finding new views on biological
systems. These two approaches are "two wheels of a cart" to understand
the essence of adaptive intelligence. AMAM 2017 is the 8th
international symposium dedicated on the interaction among researchers
of such interdisciplinary field. The symposium covers neuromechanics,
neurophysiology, biomechanics, robotics, brain science, and other
fields related to adaptive behavior of animals and machines. Previous
symposia were held in Montreal, Canada (2000); Kyoto, Japan (2003);
Ilmenau, Germany (2005); Cleveland, USA (2008); Awaji,
Japan(2011); Darmstadt, Germany(2013); and Cambridge, USA(2015).
Abstract contributions are invited from all areas pertaining to adaptive
motion in animals and machines. Accepted abstracts are presented in
poster sessions. We also encourage participants to contribute
hardware demonstrations, ?Robot Zoo?@AMAM2017. For details on
submission, please check the symposium web site
http://adaptivemotion.org/AMAM2017/submit/ .
Important Dates:
Feb. 10, 2017 Deadline of extended abstracts submission
Mar. 17, 2017 Notification of acceptance for extended abstracts
Mar. 31, 2017 Deadline of submission for Robot Zoo(Robot Demo)
Jun. 27-30, 2017 Conference
Secretariat:
AMAM2017 Secretariat
Email: amam2017secretariat at adaptivemotion.org
Symposium web-site: http://adaptivemotion.org/AMAM2017/
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From Pavis at iit.it Fri Jan 13 05:53:01 2017
From: Pavis at iit.it (Pavis)
Date: Fri, 13 Jan 2017 10:53:01 +0000
Subject: Connectionists: [ Internship ] Fellow position in Computer Vision
for 3D mapping and scene understanding -
In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C8878B7B3FF@IITMXWGE015.iit.local>
References: <0E09F354EB71FC40A4D51EE54D8A9C8878B7B3FF@IITMXWGE015.iit.local>
Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C8878B7B419@IITMXWGE015.iit.local>
Fellow position in Computer Vision for 3D mapping and scene understanding - [ Internship ]
Workplace: IIT Central Research Lab Genova
The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants for a fellow position in Genoa under the supervision of Dr. Alessio Del Bue.
The VGM Lab mission is to provide computational tools for the large-scale understanding of data, this being sensed at the nano and up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners).
We are opening a 6 months fellow position for graduated Master/Bachelor students to work on 3D mapping and object detection with Deep Nets using RGBD sensors (e.g. Google Tango devices).
The aim is to create an autonomous 3D scene understanding system on a mobile platform by programming and optimize Computer Vision algorithms already developed in the group. The final aim will be to obtain a working software using recent advancements in mobile sensing devices and image understanding technology. Candidates should have good programming skills in C/C++ and a general knowledge of Android development software framework. Knowledge of OpenCV and Deep Learning software frameworks are a plus but not a compulsory skill requested for this project.
The candidate will be also involved in research activities at IIT with the chance to be introduced in several projects ongoing.
Salary will be commensurate with the candidate skills and experience.
Please send the application including a CV with a brief description of programming projects and main accomplishments to pavis at iit.it quoting ?Fellow VGM position 73408? in the email subject, by February 13, 2017.
Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and computer vision.
In order to comply with Italian law (art.23 of Privacy Law of the Italian Legislative Decree n.196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
From Pavis at iit.it Fri Jan 13 09:27:56 2017
From: Pavis at iit.it (Pavis)
Date: Fri, 13 Jan 2017 14:27:56 +0000
Subject: Connectionists: =?windows-1252?q?One_post-doctoral_position_in_?=
=?windows-1252?q?=93Advanced_computational_methods_for_movement_represent?=
=?windows-1252?q?ation=94_-_CB_73084?=
In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C8878B7BBAC@IITMXWGE015.iit.local>
References: <0E09F354EB71FC40A4D51EE54D8A9C8878B7BBAC@IITMXWGE015.iit.local>
Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C8878B7BBBB@IITMXWGE015.iit.local>
One post-doctoral position in ?Advanced computational methods for movement representation? - [ Postdoc ]
Workplace: IIT at CHT Genova
The Cognition, Motion and Neuroscience Unit at Istituto Italiano di Tecnologia, Genova, is seeking a post-doctoral researcher to work on advanced computational methods for movement representation.
The post-doctoral researcher will work on research projects combining cognitive neuroscience and advanced computational methods in the domain of action perception and control. This research will analyse body movements of healthy subjects and patients with movement disorders and construct multivariate models for the classification of preclinical movement patterns. A further goal of the project is to exploit advanced computation methods to gain a better understanding of the mechanisms of movement perception and their relationship with motor execution.
Further information about this research is available at: https://www.iit.it/lines/cognition-motion-and-neuroscience
Post-doctoral applicants must have earned a Ph.D. or equivalent degree.
Strong applicants will have:
Experience with advanced computational methods, especially machine learning.
Strong statistical and technical skills (Matlab, Python, R, or similar platforms).
Excellent organizational, interpersonal, and communication skills.
Applicants with exceptionally strong technical skills (e.g. with backgrounds in computer science or applied math) and interests in human cognition, but with limited experience with psychology/neuroscience, will also be considered.
Salary and benefits are competitive for international standards.
The post-doctoral researcher will be mentored by Prof. Cristina Becchio.
The position will be based at the Centre for Human Technologies, (IIT) in Genova.
IIT is a centre of excellence and was recently named in the top 100 Rising stars Institutions (Nature Index 2016). Established in 2003, IIT has successfully created a large-scale infrastructure in Genova and a network of 10 state-of-the-art laboratories countrywide with an international staff of about 1100 people from more than 50 countries. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, nano-biotechnologies, and life sciences.
Interested applicants should submit CV, list of publications, 2 reference letters and a statement of research interest to the following email address applications at iit.it within January 31, 2017 quoting ?One post-doctoral position in Advanced computational methods for movement representation CB 73084?
In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data.
We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data.
Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
From ranzato at fb.com Fri Jan 13 10:29:04 2017
From: ranzato at fb.com (Marc'Aurelio Ranzato)
Date: Fri, 13 Jan 2017 15:29:04 +0000
Subject: Connectionists: ICLR 2017 Workshop Track: call for abstracts
Message-ID: <1CCA8E3B-71B0-446E-ACA3-CAF5775B2E9D@fb.com>
Website: http://www.iclr.cc/
Workshop Track - Extended abstract deadline: February 17th, 2017
Location: Palais des Congr?s Neptune, Toulon, France, April 24 - 26, 2017
Overview
________________________________
At the workshop track of ICLR 201,7 we solicit the submission of 3 page abstracts.
This year, the Workshop Track will focus and favor late-breaking developments, very novel ideas and position papers.
Topics covered may include:
* Unsupervised, semi-supervised, and supervised representation learning
* Representation learning for planning and reinforcement learning
* Metric learning and kernel learning
* Sparse coding and dimensionality expansion
* Hierarchical models
* Optimization for representation learning
* Learning representations of outputs or states
* Implementation issues, parallelization, software platforms, hardware
* Applications in vision, audio, speech, natural language processing, robotics, neuroscience, or any other field
Extended abstracts submitted to the Workshop Track should be 2-3 pages long, excluding references. These contributions are considered as workshop papers and can be published elsewhere, i.e., they are not subject to the dual submission policy restriction of our conference track papers. Selection of abstracts is performed via a light single-blinded review process.
Note that some of the conference submissions that are not accepted to the ICLR Conference Track but fit the novelty requirements of this call for abstract, may also be invited to be presented under the Workshop Track.
ICLR Submission Instructions - Workshop Track
By February 17th, 2016, 5:00 PM Eastern Standard time, authors must submit the PDF of their extended abstract to openreview:
https://openreview.net/group?id=ICLR.cc/2017/workshop
For more information on preparing your extended abstract, including style files for the Workshop Track, please see
http://www.iclr.cc/lib/exe/fetch.php?media=iclr2017:iclr2017_stylefiles_workshop.zip
Acceptance decisions of extended abstract will be sent by March 17th. At least one author of each accepted extended abstract will be required to register to the ICLR event and present their work.
Organizers
Yoshua Bengio, Universit? de Montreal, General Chair
Yann LeCun, New York University and Facebook, General Chair
Marc?Aurelio Ranzato, Facebook, Senior Program Chair
Tara Sainath, Google, Program Chair
Oriol Vinyals, Google Deepmind, Program Chair
Hugo Larochelle, Google, Program Chair
Contact
The organizers can be contacted at iclr2017.programchairs at gmail.com
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From iccv17publicity at gmail.com Fri Jan 13 14:30:25 2017
From: iccv17publicity at gmail.com (Ali Shokoufandeh)
Date: Fri, 13 Jan 2017 14:30:25 -0500
Subject: Connectionists: ICCV 2017 Workshops: Call for proposals
Message-ID:
Workshops: Call for proposalsProposal Deadline: *February 15, 2017
(Wednesday)*Workshop Chairs: *Jingyi Yu and Sing Bing Kang*Notification to
Organizers: *March 31, 2017 (Friday)*Camera-ready Deadline: *August 25,
2017 (Friday)*
We are soliciting proposals for workshops to be held together with the 2017
International Conference on Computer Vision (ICCV 2017). Workshops will
take place on October 28-29, 2017 at the same venue as the main conference.
The purpose of workshops is to provide a comprehensive forum on topics that
will not be fully explored during the main conference as well as to
encourage in-depth discussion of technical and application issues. We also
welcome "Challenge Workshops" that aim to compare new and established
methods on common data sets. ICCV 2017 organizers will collect workshop
registrations, provide facilities, and distribute electronic copies of the
workshop proceedings. There will be competition for workshop space, time,
and topic coverage.
To enable the competitive selection process, proposals must be specific and
detailed in justifying relevance and viability. Proposers may be asked to
provide additional information, modify aspects of their proposals, or
combine their proposal with another one.
Proposals should be submitted by email to iccv17wc at gmail.com by February
15, 2017. Proposals should be in PDF format and include the following
information:
TECHNICAL INFORMATION
- Workshop title.
- Topics that will be covered, with descriptions on why they are
relevant.
- Rough program outline.
- Description of how this proposal relates to previous workshops at
CVPR/ICCV/ECCV (be as specific as possible).
ORGANIZERS AND SPEAKERS
- Proposers' names, titles, affiliations, and primary contact email.
- Background and experience that makes the proposers well suited for
organizing the workshop.
- Names and bios of invited speakers. For each speaker, please indicate
if attendance is tentative or confirmed.
LOGISTICS
- Preference for half-day or full-day event.
- Estimated numbers of orals, posters, and invited talks.
- Anticipated target audience as well as expected number of attendees.
- Special space or equipment requests, if any.
For any questions, please contact the workshop chairs, Jingyi Yu and Sing
Bing Kang, at iccv17wc at gmail.com.
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From iccv17publicity at gmail.com Fri Jan 13 15:59:31 2017
From: iccv17publicity at gmail.com (Ali Shokoufandeh)
Date: Fri, 13 Jan 2017 15:59:31 -0500
Subject: Connectionists: ICCV 2017 Tutorials: Call for Proposals
Message-ID:
ICCV 2017 Tutorials: Call for Proposals Proposal Deadline: *February 15,
2017*Tutorials Chairs: *Tal Hassner and Vittorio Murino*Notification to
proposers: *March 31, 2017*
We solicit proposals for tutorials to be held at the 2017 International
Conference on Computer Vision (ICCV 2017). Tutorials will take place on
October 22-23, the days before and after the main conference.
An ICCV tutorial should aim to give a comprehensive overview of a specific
topic related to computer vision. A good tutorial should be educational
rather than just a cursory survey of techniques. The topic should be of
sufficient relevance and importance to attract significant interest from
the ICCV community. Typical tutorial audiences consist of graduate students
studying computer vision, but also include researchers and practitioners
from both academia and industry. We invite proposals for both half-day and
full-day tutorials, but anticipate that most tutorials will be half-day
unless the topic is expected to attract widespread community attention or
will require the additional time.
For more information about typical ICCV tutorials, we encourage potential
proposers to consult ICCV tutorial sites from recent years:
- 2015: http://pamitc.org/iccv15/tutorials.php
- 2013: http://www.pamitc.org/iccv13/tutorials.php
As well as CVPR tutorial websites from:
- 2016: http://cvpr2016.thecvf.com/program/tutorials
- 2015: http://www.pamitc.org/cvpr15/tutorials.php
- 2014: http://www.pamitc.org/cvpr14/tutorials.php
- 2013: http://www.pamitc.org/cvpr13/tutorials.php
Proposals should be submitted by email to both Chairs (hassner at isi.edu,
vittorio.murino at iit.it), either in plain-text or PDF format. Proposals will
be reviewed by the Tutorial Chairs and decisions will be sent to selected
organizers by March 31, 2017.
Please include the following information in your proposals:
- Proposed title.
- Proposers' names, titles, affiliations, emails, and brief bio sketches.
- Preference for half- or full-day event, and a brief justification.
- Tutorial description with list of topics / structure for the main
talks, along with a brief outline and important details for each of them.
- Expected target audience, in terms of both composition and estimated
number of attendees.
- List of citations and/or URLs to relevant publications and/or products
by the organizers, and to other relevant related work.
- A description of how this proposal relates to other tutorials/short
courses appearing at CVPR, ICCV, and ECCV within the last three years.
- Description of and/or links to any planned materials or resources to
be distributed to attendees.
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From nsmattei at gmail.com Fri Jan 13 13:55:35 2017
From: nsmattei at gmail.com (Nicholas Mattei)
Date: Fri, 13 Jan 2017 13:55:35 -0500
Subject: Connectionists: FINAL CFP: EXPLORE 2017 @ AAMAS 2017: The 4th
Workshop on ExploringBeyond the Worst Case in Computational Social Choice
Message-ID:
[Sorry for multiple postings!]
*CFP: EXPLORE 2017 @ AAMAS 2017: The 4th Workshop on ExploringBeyond the
Worst Case in Computational Social Choice*
To be held at the 16th Conference for Autonomous Agents and Multi-Agent
Systems, AAMAS 2017.
May 8th or 9th, 2017
S?o Paulo, Brazil
http://www.explore-2017.preflib.org/
Computational Social Choice (ComSoc) lies at the intersection of computer
science, economics, social choice, and political science. Many, often
disjoint, groups of researchers both outside and within computer science
study group decision making and preference aggregation. The computer
science view of social choice focuses, broadly, on computational aspects of
social choice and importing ideas from social choice into computer science.
While the surge of research in this area has created dramatic benefits in
the areas of market matchings, recommendation systems, and preference
aggregation, much of the ComSoc community is focused on worst case
assumptions.
As ComSoc evolves there is a growing need to relax or revise some of the
more common assumptions in the field: worst case complexity, complete
information, and overly-restricted domains, among others. This means going
beyond traditional algorithmic and complexity results and providing a more
nuanced look, using real data, parameterized algorithms, and human and
agent experimentation to provide a fresh and impactful view of group
decision making. This goes hand in hand with highlighting the practical
applications of much of the theoretical research ? as much of the most
impactful work in ComSoc does. It also involves looking at more complex
preference aggregation settings that help model real world requirements.
We encourage research related to:
* Algorithms and analysis
* Empirical Studies
* Average case analysis
* Identification of tractable sub-cases
* Fixed parameter complexity analysis
* Benchmarking and analysis from the preference handling and recommendation
systems
* Matchings under preferences
* Auction and market design in the real world
* Crowd-sourcing and other real-world data aggregation domains
* Ethical decision making (with applicative bent)
Many of these tools, techniques, and studies are concentrated in a
particular sub-field and researchers in other areas of ComSoc and related
communities may be keen to import some of the tools and techniques
developed in other areas.
The workshop is currently scheduled for a full day. We plan for the
program to include an invited talk from a local researcher and possibly a
short tutorial.
Important Dates
-------------------------------
Paper Submission Deadline: February 7, 2017
Author Notification: March 2, 2017
Conference and Workshop: May 8 or 9, 2017
Submission Instructions
-------------------------------
Submissions will be handled by EasyChair, the site is available at
https://easychair.org/conferences/?conf=explore2017
Papers should be in AAMAS format, allowing 8 pages of text plus 1 page for
references.
Organization Committee
-------------------------------
Haris Aziz, Data61 and UNSW
John P. Dickerson, University of Maryland
Omer Lev, University of Toronto
Nicholas Mattei, IBM Research
Travel and Attendance Information
-----------------------------------
The workshop will be held in conjunction with AAMAS 2017 in S?o Paulo,
Brazil. Please see the AAMAS website for more information regarding
registration, travel, and accommodations:
http://www.aamas2017.org
We hope to see you there.
--Haris, John, Omer, and Nick.
--
Nicholas Mattei
Research Staff Member | Cognitive Computing
*IBM T.J. Watson Research Center*
1101 Kitchawan Road, Office 30-110, Yorktown Heights, NY 10598
E: n.mattei at ibm.com | T: +1 914 945 3305
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From juffi at ke.informatik.tu-darmstadt.de Sun Jan 15 10:40:53 2017
From: juffi at ke.informatik.tu-darmstadt.de (Johannes Fuernkranz)
Date: Sun, 15 Jan 2017 16:40:53 +0100
Subject: Connectionists: Call for Papers: The 40th German Conference on
Artificial Intelligence
Message-ID:
[Apologies if you receive multiple copies. Please forward this call to
interested parties.]
KI 2017: Call for Papers
=============================================================
40th German Conference on Artificial Intelligence
September 25-29, 2017
Dortmund, Germany
http://ki2017.tu-dortmund.de
=============================================================
KI 2017 is the 40th edition of the German Conference on Artificial
Intelligence organized by the Fachbereich K?nstliche Intelligenz der
Gesellschaft f?r Informatik. KI traditionally brings together academic
and industrial researchers from all areas of AI, providing an ideal
place for exchanging news and research results of intelligent system
technology. The technical program of KI 2017 will comprise paper and
poster presentations and a variety of workshops and tutorials.
KI 2017 will take place in Dortmund, Germany, September 25th-29th,
2017, and is a premier forum for exchanging news and research results
on theory and applications of intelligent system technology.
You are invited to submit original research and application papers on
all aspects of AI research, including but not limited to the
following:
- Agent-based and multi-agent systems
- AI applications and innovations
- Belief change
- Cognitive modelling, AI and psychology
- Commonsense reasoning
- Computer vision
- Constraint satisfaction, search, and optimization
- Diagnosis and configuration
- Evolutionary computation
- Game playing and interactive entertainment
- Information retrieval, integration, and extraction
- Knowledge engineering and ontologies
- Knowledge representation and reasoning
- Knowledge discovery and data mining
- Machine learning
- Multidisciplinary AI
- Natural language processing
- Nonmonotonic reasoning and default logics
- Philosophical foundations of AI
- Planning and scheduling
- Recommender systems
- Robotics
- Uncertainty in AI
- Web and information systems
We especially welcome application papers that provide novel insights
on the interplay of AI and the real world, as well as papers that
bring useful computational technologies from other areas of computer
science into AI.
======== Workshops and Tutorials ========
Together with the main conference, we plan to organize a small number
of high-quality workshops and tutorials. We especially encourage
events organized by AI Special Interest Groups (GI-Fachgruppen),
events that bring together researchers from different disciplines, and
events that highlight emerging topics of AI research. Tutorials should
target a wide audience, including graduate students as well as
experienced researchers, and practitioners.
For details on submitting workshop and tutorial proposals, please see
the KI2017 webpage (http://ki2017.tu-dortmund.de).
======== Paper Submission ========
We invite papers, which have to be in English and formatted according
to the Springer LNCS style, in the following two categories
* Full technical papers (12 pages max., excluding references) are
expected to report on new research that makes a substantial technical
contribution to the field. Additional details may be included in an
appendix, which, however, will be read at the discretion of the PC.
* Technical communications (6 pages max., excluding references) can
report on research in progress, research already published elsewhere,
or other issues of interest to the AI community. Examples of work
suitable for technical communication paper submissions include: novel
ideas whose scope is not large enough for a full paper: important
implementation techniques; novel interesting benchmark problems; short
experimental studies; interesting applications that are not yet
completely solved or analysed; position or challenge papers; etc.
Technical communication submissions are especially invited for
software demonstration or PhD work in progress.
Submission will be through the EasyChair conference management system:
http://www.easychair.org/conferences/?conf=ki2017
All papers will be subject to blind peer review based on the standard
criteria of relevance, significance of results, originality of ideas,
soundness, and quality of the presentation. All accepted papers will
be published in the main conference proceedings, and will be presented
at the conference. At least one author of each accepted paper must
register for the conference and present the contribution. The KI 2017
proceedings will be published by Springer as a volume of the LNAI
(Lecture Notes in Artificial Intelligence) series.
======== Important Dates ========
Workshop/Tutorial proposals: Jan 30th, 2017
Workshop/Tutorial notification: Feb 6th, 2017
Full/Short Paper submission: May 5th, 2017
Acceptance notification: June 16th, 2017
Final version due: July 1st, 2017
KI Workshops and Conference: September 25th-29th, 2017
======== Main Organizers ========
General Chair
* Gabriele Kern-Isberner (TU Dortmund)
Program Chairs
* Johannes F?rnkranz (TU Darmstadt)
* Matthias Thimm (Universit?t Koblenz-Landau)
Workshop and Tutorial Chair
* Christoph Beierle (FernUniversit?t in Hagen)
Local Organizers
* Christian Eichhorn (TU Dortmund)
* Steffen Schieweck (TU Dortmund)
* Marco Wilhelm (TU Dortmund)
--
Johannes Fuernkranz
Knowledge Engineering Group, TU Darmstadt
From mpavone at dmi.unict.it Sat Jan 14 11:36:40 2017
From: mpavone at dmi.unict.it (Mario Pavone)
Date: Sat, 14 Jan 2017 17:36:40 +0100
Subject: Connectionists: [extended deadline] AIS: Algorithms, Simulation,
Modelling & Theory - ss. @ CEC 2017
Message-ID: <20170114173640.Horde.hm81eeph4B9YelOY1tOWBTA@mbox.dmi.unict.it>
* Apologies if you received multiple copies
* Please kindly forward to those who may be interested.
CALL FOR PAPERS
Artificial Immune Systems: Algorithms, Simulation, Modelling & Theory
IEEE CEC 2017 Special Session
June 5-8, 2017, Donostia - San Sebasti?n, Spain
http://ieee-cis-ais.org/ais-cec2017/
ais.cec2017 at gmail.com
*** EXTENDED DEADLINE: January 30, 2017
The Immune System protects organisms against diseases, and over the
years has been an important source of inspiration for the development
of algorithms to be applied in a wide range of applications, such as
learning, pattern recognition, optimisation and classification. Many
of these algorithms are built on solid theoretical foundations,
through understanding mathematical models and computational simulation
of aspects of the immune system. The scope of this research area
ranges from modelling to simulation of the immune system, to the
development of novel engineering solutions to complex problems, and
bridges several disciplines to provide new insights into immunology,
computer science, mathematics and engineering.
This special session aims to focus on the recent advances on
Artificial Immune Systems (AIS) field, also offering new conceptual
models for understanding the dynamics that underlie the immune system.
This special session is supported by IEEE CIS Task Force on Artificial
Immune Systems (http://ieee-cis-ais.org).
Topics of interest include, but are not limited to:
- Computational & Mathematical modelling of the Immune System;
- Theoretical aspects of immune inspired algorithms;
- Novel algorithms and new immune operators;
- Benchmarking immune inspired algorithms against other techniques;
- Empirical and Theoretical investigations into performance and
complexity of immune inspired algorithms;
- Hybridisation of immune inspired algorithms with other techniques;
- Systems & Synthetic Immunology.
All the papers have to be submitted electronically through the
congress application.
* IMPORTANT DATES:
paper submission: January 30, 2017
notification of acceptance: February 26, 2017
final paper submission: March 12, 2017
Conference dates: June 5-8, 2017
* ORGANIZERS:
Thomas Jansen, Aberystwyth University, UK
Mario Pavone, University of Catania, Italy
Jon Timmis, University of York, UK
--
Dr. Mario Pavone (PhD)
Assistant Professor
Department of Mathematics and Computer Science
University of Catania
V.le A. Doria 6 - 95125 Catania, Italy
tel: 0039 095 7383038
fax: 0039 095 330094
Email: mpavone at dmi.unict.it
http://www.dmi.unict.it/mpavone/
======================================================
From juffi at ke.informatik.tu-darmstadt.de Sun Jan 15 11:00:11 2017
From: juffi at ke.informatik.tu-darmstadt.de (Johannes Fuernkranz)
Date: Sun, 15 Jan 2017 17:00:11 +0100
Subject: Connectionists: Call for Workshops/Tutorials: The 40th German
Conference on Artificial Intelligence
Message-ID:
[Apologies if you receive multiple copies. Please forward this call to
interested parties.]
KI 2017: Call for Workshops & Tutorials - Deadline Jan 30, 2017
=============================================================
40th German Conference on Artificial Intelligence
September 25-29, 2017
Dortmund, Germany
http://ki2017.tu-dortmund.de
=============================================================
KI 2017 is the 40th edition of the German Conference on Artificial
Intelligence organized by the Fachbereich K?nstliche Intelligenz der
Gesellschaft f?r Informatik. KI traditionally brings together academic
and industrial researchers from all areas of AI, providing an ideal
place for exchanging news and research results of intelligent system
technology. The technical program of KI 2017 will comprise paper and
poster presentations and a variety of workshops and tutorials.
KI 2017 will take place in Dortmund, Germany, September 25th-29th,
2017, and is a premier forum for exchanging news and research results
on theory and applications of intelligent system technology.
Together with the main conference, we plan to organize a small number
of high-quality workshops and tutorials. We especially encourage
events organized by AI Special Interest Groups (GI-Fachgruppen),
events that bring together researchers from different disciplines, and
events that highlight emerging topics of AI research. Tutorials should
target a wide audience, including graduate students as well as
experienced researchers, and practitioners. For workshops, we are
interested in submissions of full-day (6 hours) and half-day (3 hours)
workshops. For tutorials, we are soliciting proposals for full-day (6
hours) and half-day (3 hours) tutorials as well as mini-tutorials (1.5
hours).
======== How to Propose a Workshop ========
Proposals should be sent by email to the KI 2017 Workshop and Tutorial
Chair (christoph.beierle at fernuni-hagen.de). Each workshop proposal
should provide the following information:
- Title and acronym
- Short description of workshop topic and goal
- Names, affiliations, and contact details of all the workshop
organizer(s). Please include one paragraph about each organizer
(scientific profile, previous events you have organized) and indicate
the primary contact person to whom correspondence should be directed.
- For which areas of AI do you expect to draw participants for your
workshop and how many participants do you expect? How do you plan to
invite participants for the workshop?
- A brief description of the workshop format and duration, tentative
call for papers, tentative invited speakers and members of the program
committee
======== How to Propose a Tutorial ========
Tutorials should give a comprehensive, in-depth perspective on
innovative AI methods or technologies that have an obvious potential
for research and/or application and are not covered by typical AI
textbooks. Proposals for tutorials should be submitted by e-mail to
the Workshop and Tutorial Chair (christoph.beierle at fernuni-hagen.de).
Each tutorial proposal should provide the following information:
- Descriptions of the tutorial topic, goals, the intended audience, an
outline of the contents
- Brief CVs of the tutor(s), including their expertise and teaching
experience in the field and the intended length of the tutorial
(half-day, full-day, or mini-tutorial).
Proposers are encouraged to include excerpts of material from recent
teaching about the proposed topic as an annex of their submission, if
available.
======== Important Dates ========
Workshop/Tutorial proposals: Jan 30th, 2017
Workshop/Tutorial notification: Feb 6th, 2017
Full/Short Paper submission: May 5th, 2017
Acceptance notification: June 16th, 2017
Final version due: July 1st, 2017
KI Workshops and Conference: September 25th-29th, 2017
======== Main Organizers ========
General Chair
* Gabriele Kern-Isberner (TU Dortmund)
Program Chairs
* Johannes F?rnkranz (TU Darmstadt)
* Matthias Thimm (Universit?t Koblenz-Landau)
Workshop and Tutorial Chair
* Christoph Beierle (FernUniversit?t in Hagen)
Local Organizers
* Christian Eichhorn (TU Dortmund)
* Steffen Schieweck (TU Dortmund)
* Marco Wilhelm (TU Dortmund)
--
Johannes Fuernkranz
Knowledge Engineering Group, TU Darmstadt
From ndaw at princeton.edu Mon Jan 16 00:00:57 2017
From: ndaw at princeton.edu (Nathaniel Daw)
Date: Mon, 16 Jan 2017 05:00:57 +0000
Subject: Connectionists: Call for papers,
Reinforcement Learning and Decision Making
Message-ID:
(Apologies for duplicate postings)
The 3rd Multidisciplinary Conference on
Reinforcement Learning and Decision Making (RLDM2017)
www.rldm.org
June 11-14 2017, The University of Michigan, Ann Arbor, Michigan, U.S.A.
======================================================
Submissions to RLDM2017 are now being accepted at
https://cmt3.research.microsoft.com/RLDM2017
Deadline: 4 March 2017, 11:59PM PST
We invite extended abstracts for contributed poster presentations and oral
presentations.
We welcome submissions of original research related to ?learning and
decision making over time to achieve a goal?, coming from any discipline or
disciplines, describing empirical results from human, animal or animat
experiments, and/or theoretical work, simulations and modeling.
Contributions should be aimed at an interdisciplinary audience, but not at
the expense of technical excellence. This is an abstract-based meeting,
with no published conference proceedings. As such, work that is intended
for, or has been submitted to, other conferences or journals is also
welcome, provided that the intent of communication to other disciplines is
clear.
Submissions should consist of a summary (max 2000 characters; text only),
and an extended abstract of between one and four pages (including figures
and references). LaTeX and RTF templates, and sample submissions, are
available from http://rldm.org/rldm2017/submission-procedure/
Note: Only the summary will be made available in the (electronic) abstract
booklets. The extended abstract will be used for reviewing, and will be
available online only pending on authors? separate explicit permission.
Online availability will have no bearing on the review process and authors
are encouraged to include new, unpublished, findings which they do not want
to make publicly available.
To submit your abstract please go to
https://cmt3.research.microsoft.com/RLDM2017
Submissions will be reviewed for relevance to the topic and for quality.
Exceptional abstracts will be selected for oral presentations and for
poster spotlight presentations.
IMPORTANT DATES:
Submissions open: now
Submissions close: 4 March 2017, 11:59pm PST
Notification of acceptance: 3 April 2017
Early registration: 28 April 2017
Meeting: 11-14 June 2017, Ann Arbor, Michigan
RLDM2017 Invited speakers: http://rldm.org/rldm2017/invited-speakers/
To ensure that you receive future announcements about RLDM2017 please join
our mailing list at http://tinyurl.com/RLDMlist (you must log in to google
to see the ?join list? button, and choose ?all email? from the options at
the bottom).
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From trentin at dii.unisi.it Mon Jan 16 07:39:56 2017
From: trentin at dii.unisi.it (Edmondo Trentin)
Date: Mon, 16 Jan 2017 13:39:56 +0100
Subject: Connectionists: Neural Processing Letters: deadline extension for
the Special Issue on "Off the mainstream: advances in neural networks and
machine learning for pattern recognition"
Message-ID:
Deadline extension
Special issue on "Off the mainstream: advances in neural networks and
machine learning for pattern recognition"
to be published in Neural Processing Letters
*** Extended submission deadline: February 19, 2017 ***
Aims and scope of the special issue:
"Mainstream science is about publishing what everyone else is publishing
with very small changes. You'd better at least start off that way if you
want to get tenure," the sociologist Rodney Stark said. But "big ideas
don't come to those who avoid risk", as John Bohannon added. The area of
artificial neural networks (ANN) and machine learning (ML) makes no
exception to these ends: Mainstream topics, originally stemming from
exciting breakthroughs (the "big ideas") that gradually become trends and
end-up being mostly over-beaten publishing tracks, have characterized the
scientific literature throughout the whole history of these research
fields. A few, widely known instances of such (more or less recent)
mainstream trends are:
- Supervised support vector machine training (in both primal and dual)
- Supervised multilayer perceptron training via regular backpropagation
- Radial basis functions networks
- Bayesian networks (either shallow or deep)
- Deep feed-forward and convolutional neural networks
- Countless applications of the aforementioned machineries
- The "approximation capabilities" of such machineries
Based on these premises, this special issue invites paper submissions on
real novel research developments in the areas of neural networks and
learning machines that (1) are rooted in (or, aimed at) pattern
recognition (PR), and that, above all, (2) do not follow in the footsteps
of nowadays established trends. Preference (over applications, theoretical
analysis, and variants of established techniques) will thus be given to
submissions that hand out fresh and innovative
ideas/architectures/algorithms, even if they are in their infancy (e.g.,
possibly lacking of a complete investigation of their theoretical
properties). A detailed list of topics of interest would contradict the
very perspective of the present special issue. Nonetheless, some general,
topical research directions are (to name a few):
- New ANN or ML architectures
- New ANN, ML, or PR algorithms
- New estimation/optimization/assessment techniques for ANNs, ML, or PR
- New and sound combination/hybridization of machines
- Solutions to new, relevant PR-related problems
- New and sound solutions to established PR-related problems
If you are not sure on whether your manuscripts matches the aims and scope
of this special issue or not, do not hesitate to get in touch with the
guest editors at any time.
The special issue will comprise (a) papers submitted in response to this
call, and (b) extended versions of selected papers from the ANNPR 2016
Workshop (https://neuro.informatik.uni-ulm.de/ANNPR2016/), sponsored by
the International Association for Pattern Recognition.
Paper submission:
Papers must be submitted online via the Neural Processing Letters website
(https://www.editorialmanager.com/nepl/default.aspx), selecting the choice
that indicates this special issue (identifier: S.I.:Off_mainstream).
Prepare your paper following the Journal guidelines for Authors
(http://www.springer.com/computer/ai/journal/11063?detailsPage=pltci_1060677).
All submitted papers will undergo a regular peer-review process.
Important dates:
Opening of electronic submission: September 1, 2016
Extended submission deadline: February 19, 2017
Completion of 1st round of review process: April 15, 2017
Re-submission of revised manuscripts: May 31, 2017
Final decision: July 15, 2017
Tentative publication of the Special Issue: Fall 2017
Guest editors:
Edmondo Trentin, University of Siena, Italy (trentin at dii.unisi.it)
Friedhelm Schwenker, University of Ulm, Germany
(friedhelm.schwenker at uni-ulm.de)
Nemat El Gayar, Cairo University, Egypt (elgayar.neamat at gmail.com)
Hazem M. Abbas, Ain Shams University, Egypt (hazem.abbas at eng.asu.edu.eg)
-----------------------------------------------
Edmondo Trentin, PhD
Dip. Ingegneria dell'Informazione e Scienze MM.
V. Roma, 56 - I-53100 Siena (Italy)
E-mail: trentin at dii.unisi.it
Voice: +39-0577-234636
Fax: +39-0577-233602
WWW: http://www.dii.unisi.it/~trentin
From pascal.fua at epfl.ch Mon Jan 16 08:25:24 2017
From: pascal.fua at epfl.ch (Pascal Fua)
Date: Mon, 16 Jan 2017 14:25:24 +0100
Subject: Connectionists: Post-doctoral Position in Computer Vision at EPFL
Message-ID: <7c8ca6c6-6af2-8f16-6a23-eb5a43b56f4b@epfl.ch>
EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has an opening
for a post-doctoral fellow. The position is initially offered for 1 year
and can be extended for up to 4 years total.
Description:
EPFL's Computer Vision laboratory (http://cvlab.epfl.ch) is about to
begin in a joint project with FLARM (http://flarm.com/), a Swiss
Company that develops collision avoidance devices for light aircrafts,
helicopters, and drones. This is important because the skies are
becoming ever more crowded by both commercial and general aviation, to
which must now be added Unmanned Aerial Vehicles (UAVs), also known as
drones, along with paragliders, blimps, and many other flying vehicles.
To this end, we add to existing devices a wide-angle camera to be
used to detect aircraft that might be on a collision course. This will
involve developing robust and energy efficient Computer Vision
algorithms to detect potential threats that only occupy a small portion
of the field of view, may move against complex backgrounds, and are
filmed by a camera that itself moves against the background.
Position:
The Computer Vision Laboratory offers a creative international
environment, a possibility to conduct competitive research on a global
scale and involvement in teaching. There will be ample opportunities to
cooperate with some of the best groups in Europe and elsewhere.
EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers
away from the city of Geneva. Salaries for post-doctoral fellows start
from CHF 81,400 per year, the precise amount to be determined by EPFL's
department of human resources.
Education:
Applicants are expected to have finished, or be about to finish their
Ph.D. degrees, to have a strong background in Computer Vision and
Statistical Machine Learning, and to have a track record of publications
in top conferences and journals. Strong programming skills (C or C++)
are a plus. French language skills are not required, English is mandatory.
Application:
Applications must be sent by email to Ms. Staudenmann
(ariane.staudenmann at epfl.ch). They must contain a statement of
interest, a CV, a list of publications, and the names of three references.
From ralph.etiennecummings at gmail.com Mon Jan 16 10:30:26 2017
From: ralph.etiennecummings at gmail.com (Ralph Etienne-Cummings)
Date: Mon, 16 Jan 2017 10:30:26 -0500
Subject: Connectionists: Deadline Extended: 2017 Neuromorphic Cognition
Engineering Workshop: Call for Topics Proposals
Message-ID:
Call for Topic Area Proposals (Deadline Extended)2017 Neuromorphic
Cognition Engineering Workshop
Telluride, Colorado, June 25 ?July 14, 2017
DEADLINE: January 22nd, 2017
We are accepting proposals for Topic Areas in the 2017 Telluride
Neuromorphic Cognition Engineering Workshop. The Telluride Neuromorphic
Cognition Engineering Workshop has been running successfully for over 20
years, and has been highly influential in shaping the field of neuromorphic
engineering and serving as a forum connecting across disciplines such as
neuroscience, cognitive science, machine learning, robotics, computer
vision, signal processing, and electrical engineering.
For the 2017 workshop, we support topics and projects in neuromorphic
cognition, with a focus on the theme of Neuromorphic Autonomous Agents. With
the recent progress in AI and machine learning algorithms, machines that
can generalize their knowledge to new situations are becoming a reality. We
seek projects on autonomy, specifically involving neuromorphic and
bio-inspired solutions on problems of perception, neural signal analysis
and cognition. Projects may focus on developments in robotics, learning,
control, sensors, language and reasoning, and computational/experimental
aspects of systems that can accomplish goals with limited human
intervention.
We particularly encourage projects aiming towards solving ?everyday? tasks
that biological brains solve with ease, but which pose significant
challenges to artificial computing systems of any form, neuromorphic or
not. In particular we support projects that have the potential to showcase
advantagesof brain-inspired sensors, computing platforms, cognitive
architectures, or algorithmic principles, or establish new links between
neuromorphic technology and other disciplines. Proposals aiming to bring to
reality the capabilities of hardware technologies and state-of-the-art
approaches from related disciplines are also strongly encouraged. Topic
proposals should include educational components such as hands-on tutorials
and overview presentations that should preferably run during the first week
of the workshop.
Successful proposals in the past have focused on topics such as navigating
through an unknown environment, visual and auditory understanding of scenes
and human actions, adaptively manipulating unknown or complex objects in
the service of a task, neural network architectures for cognitive computing
and their efficient hardware implementation, EEG-based systems to decode
acoustic events, neuroprosthetic control, etc.
Topic areas for this summer's Telluride Neuromorphic Cognition Engineering
Workshop will be chosen from proposals submitted to
the organizers.
Topic areas can span many aspects related to the overall theme of the
workshop; project organizers are expected to be actively involved in
coordination activities with other areas, and inviting top researchers
covering different aspects of their project.
Ideally, topic areas should be focused around potential applications of
neuromorphic cognitive systems that can result in impressive demonstrators
as the result of three weeks of focused work. In addition, topic areas are
meant to educate participating students, establish new links between
disciplines, critically evaluate competing approaches, and encourage
after-workshop collaboration between groups.
Topic area leaders will receive housing for themselves and four invitees,
and limited travel funds. Topic area leaders will help to define the field
of neuromorphic cognition engineering through the projects they pursue and
the people they invite. They shape their topic by inviting speakers and
project staff (the invitees) and by initiating topic discussions during
and prior to the workshop.
Teams of (no more than) two organizers are required, and attendance of at
least one of the organizers for the full duration of the workshop is
required.
Pre-workshop topic area choices and study assignments.
At least one week before the workshop begins, each topic area will be
required to prepare and distribute study materials that constitute: 1) an
introductory presentation (e.g., pptx, video, review paper) of the
fundamental knowledge associated with the topic area that everyone at the
workshop should be exposed to, and 2) a collection of a few critical papers
that the participants in the topic area should read before the workshop.
The topic area should 3) begin a serious group discussion of the projects
(e.g., via the workshop wiki, Skype, email, etc).
The maximum 3-page proposals should include:
1. Title of topic area.
2. Names of the two topic leaders, their affiliations, and contact
information (email addresses). Please note that there can only be TWO topic
leaders, other co-organizers or supporting staff can be named as invitees.
3. A paragraph explaining the focus and goals of the topic area and its
relation to the theme.
4. A list of possible specific topic area projects.
5. A proposal how to prepare students for the project, including a list of
planned tutorial talks at the workshop and preparatory material (websites,
software, video lectures, ?) for students.
6. A list of example invitees (up to six names and institutions). No
commitments necessary.
7. Any other material that fits within the three-page limit that will help
us make a smart choice.
Send your topic area proposal in pdf or text format to
org17 at neuromorphs.net with
subject line containing "topic area proposal". If you do not get a response
confirming receipt of your proposal, please contact one of the workshop
directors directly.
Proposals must be received by January 22nd, 2017; proposalreceived after
the deadline may still be considered if space is available. After a first
evaluation the workshop directors will interview the group organizers via
phone or Skype before the final selection of topics.
We expect to accept 3-4 topic areas. We hope to have significant turn-over
each year in the topic areas and leaders to ensure fresh new ideas and
participants.
See the Institute of Neuromorphic Engineering (www.ine-web.org) for
background information on the workshop and neuromorphs.net
for past workshop wikis.
We look forward to your topic proposals!
Deadline: January 22, 2017
The Workshop Directors:
Cornelia Ferm?ller (University of
Maryland),
Ralph Etienne-Cummings
(Johns
Hopkins Univ.)
Shih-Chii Liu (University of Zurich and ETH
Zurich),
Tim Horiuchi (University of
Maryland),
Katalin Gothard
(University of Arizona),
Michael Pfeiffer (Robert
Bosch Corporate Research),
Francisco Barranco (University of Granada)
Former 2007-2012 Workshop Director:
Tobi Delbruck (University of Zurich and ETH
Zurich)
--
Ralph Etienne-Cummings, PhD, FIEEE
Professor and Chairman
Department of Electrical and Computer Engineering
Computational Sensor Motor Systems Lab
Laboratory for Computational Sensing and Robotics
The Johns Hopkins University
Baltimore, MD
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From aurel at ee.columbia.edu Mon Jan 16 19:20:09 2017
From: aurel at ee.columbia.edu (Aurel A. Lazar)
Date: Mon, 16 Jan 2017 19:20:09 -0500
Subject: Connectionists: =?utf-8?q?Special_Issue_on_Biological_Application?=
=?utf-8?q?s_of_Information_Theory_in_Honor_of_Claude_Shannon=E2=80=99s_Ce?=
=?utf-8?q?ntennial?=
Message-ID: <45940E4B-C061-4475-9B2D-CE27E66FC786@ee.columbia.edu>
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
is proud to announce that our
Special Issue on Biological Applications of Information Theory in Honor of Claude Shannon?s Centennial?Part 1
is now live on IEEE Xplore .
Within the issue, you'll find the following 8 papers:
Mechanisms of information filtering in neural systems (Invited Paper; Linder)
Noise Filtering and Prediction in Biological Signaling Networks (Invited Paper; Hathcock, Sheehy, Weisenberger, Ilker, and Hinczewski)
The Use of Rate Distortion Theory to Evaluate Biological Signaling Pathways (Invited Paper; Iglesias)
Nonlinear Stochastic Dynamics of Complex Systems, III: Noneqilibrium Thermodynamics of Self-Replication Kinetics (Saakian and Qian)
Inferring Biological Networks by Sparse Identification of Nonlinear Dynamics (Mangan, Brunton, Proctor and Kutz)
Info-Clustering: A Mathematical Theory for Data Clustering (Chan, Al-Bashabsheh, Kaced, Zhou and Liu)
Fundamental Bounds for Sequence Reconstruction from Nanopore Sequencers (Magner, Duda, Szpankowski and Grama)
Inference of Causal Information Flow in Collective Animal Behavior (Lord, Sun, Ouellette and Bollt)
Special Issue Guest Editors
Prof. Alexander G. Dimitrov
Department of Mathematics and Statistics
Department of Integrative Physiology and Neuroscience
Washington State University, Vancouver, Washington, USA
Prof. Faramarz Fekri
Department of Electrical and Computer Engineering
Georgia Institute of Technology, Atlanta, Georgia, USA
Prof. Aurel A. Lazar
Department of Electrical Engineering
Columbia University, New York, New York, USA
Prof. Stefan M. Moser
Signal and Information Processing Lab (ISI)
ETH Zurich, Zurich, Switzerland
Department of Electrical and Computer Engineering
National Chiao Tung University (NCTU), Hsinchu, Taiwan
Prof. Peter J. Thomas*
Department of Mathematics, Applied Mathematics, and Statistics
Department of Electrical Engineering and Computer Science
Department of Biology
Case Western Reserve University, Cleveland, Ohio, USA
*corresponding guest editor
The Special Issue on Biological Applications of Information Theory in Honor of Claude Shannon?s Centennial?Part 2 is forthcoming.
Aurel
http://www.bionet.ee.columbia.edu
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From urakubo-h at sys.i.kyoto-u.ac.jp Tue Jan 17 02:25:41 2017
From: urakubo-h at sys.i.kyoto-u.ac.jp (Hidetoshi Urakubo)
Date: Tue, 17 Jan 2017 16:25:41 +0900
Subject: Connectionists: Postdoctoral position at Kyoto U:
Reconstruction/simulation of neuronal circuits
Message-ID: <1484637941966994.21592096@mail16-02>
Dear all,
Integrated Systems Biology Lab at Kyoto U (Japan) invites applications for a post-doc position.
We look forward to your applications and recommendations.
The full advertisement is available below.
On behalf of Prof. Shin Ishii
Hidetoshi Urakubo
==============================================
Shin Ishii Lab, Dep Sys Sci,
Grad Sch Info, Kyoto U
Yoshida-Honmachi 36-1, Sakyo-ku, Kyoto 606-8501 Japan
Phone: +81-75-753-4908 Fax: +81-75-753-4907
Email: urakubo-h at sys.i.kyoto-u.ac.jp
==============================================
We invite applications for a post-doc researcher in the area of analyses of fluorescent microscopy images, computational neuroscience, and/or neurophysiology. A new collaborative project with U Tokyo has been launched for large-scale 3D imaging of brains' network of neurons and its reconstruction/simulation. The applicant will analyze microscopic 3D images to extract biological neuronal networks in collaboration with Kasai-lab in U Tokyo (http://www.bm2.m.u-tokyo.ac.jp/english/index.html). The project is a part of "Synaptic optogenetics for memory structures", which is founded by Japan Science and Technology Agency.
For this position, basic qualifications include PhD in relevant fields with proven track record of peer-reviewed publications, as well as excellent verbal and written communication skills in English and/or Japanese. You will participate in the project with our tenure track and post-doc researchers from various backgrounds including systems biology, bioinformatics, computational biology, mathematical engineering, and machine learning. Our laboratory is also collaborating on daily basis with Advanced Telecommunications Research Institute International (ATR), University of Tokyo, Okinawa institute of science and technology (OIST), RIKEN Brain Science Institute, and other laboratories across the country.
[Job title and Job description]
Title: Full-time Researcher / Full-time Research Engineer
Begin Date: April 1st 2017 or later (negotiable)
Location: Yoshida-Honmachi 36-1, Sakyo-Ku, Kyoto-city, Japan. 606-8501
Contract: Annually renewed based on evaluation. Up to 5 years
Salary: Commensurate with qualifications and experience. Based on Kyoto University?s provision for researchers.
Benefits:?Standard social insurance, Days off (weekends, public holidays, End of the year and the New Year, Kyoto University Foundation Day, summer vacation), Sick leave
Other miscellaneous provisions are in accordance with Kyoto U regulations.
[Application and required documents]
Please send the following five materials to the address below, either in printed or electronic form:
1. Complete CV (including technical skills [programming languages, platforms, systems, etc])
2. List of publications
3. Reprints of 1 to 3 major publications
4. Document (one or two pages in A4 or letter size) describing:
- Summary of your previous research
- Interests and proposal for research
5. Two letters of recommendation (including one from the current supervisor, if available)
[Selection process]
Selection will be made based on application screening and interviews.
[Requirements]
Applicants must:
- have Ph.D. (or be near the completion of the degree).
- have strong motivations and ambitions to participate in the research above.
[Number of openings]
One
[Deadline for application]
February 28th 2017 (will remain open if positions are not filled)
[Application]
Applications and/or any questions should be sent via mail or e-mail to:
Integrated Systems Biology Laboratory (Shin Ishii-lab),
Graduate School of Informatics, Engineering Bldg #1, Kyoto University
Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan
Email: kanae [at] sys.i.kyoto-u.ac.jp
http://ishiilab.jp/kyoto/en/
Phone: +81-75-753-4908
Fax: +81-75-753-4907
From asymptotics at googlemail.com Mon Jan 16 19:46:13 2017
From: asymptotics at googlemail.com (Costas Anastassiou)
Date: Mon, 16 Jan 2017 16:46:13 -0800
Subject: Connectionists: Scientist I opening (simulation and analysis) at
the Allen Institute for Brain Science
Message-ID: <065A223C-F415-4DDB-A820-22052ACD6ACA@gmail.com>
We are looking for a scientist to unravel the relationship between neural dynamics and emergent signals in healthy and diseased brains. Are you passionate about biophysics and the brain? We have massive amounts of simulations and data! (For more details, see the job description below.)
If you want to apply for this position, you can do so here:
http://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/
by clicking under position ?Scientist I ? Biophysical Systems and Signals?.
Best, Costas
?
Costas Anastassiou
Assistant Investigator
T: 206.547.8434
E: costasa at alleninstitute.org
alleninstitute.org
Professor (adj.) of Neurology
University of British Columbia, Vancouver BC, CA
http://neuroscience.ubc.ca/people/Anastassiou
Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory.
POSITION SUMMARY
We are seeking to fill a position at the level of Scientist I to work on the relationship between neural systems, associated signals emerging from neural functioning (such as extracellular recordings, etc.) and reduced representations of such functioning. More specifically, the SciI will (i) design and conduct simulations with an existing large-scale computational model of cortex consisting of a multitude of reconstructed, interconnected and biophysically realistic neurons emulating signals as typically measured in vivo (e.g. [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013; Taxidis, Anastassiou et al, Neuron, 2015); (ii) analyze simulations to define an effective mapping between neural functioning and measures of neural activity; (iii) compare computational findings with in vivo e-phys recordings (e.g. http://observatory.brain-map.org/visualcoding)
ESSENTIAL DUTIES AND RESPONSIBILITIES
Computational modeling of neurons and networks.
Data integration, analyses and visualization.
Integration with ongoing experimental efforts.
Preparation of regular written and oral reports.
Maintain clear and accurate communication with supervisor, team members and external collaborators.
Publish/present findings in peer-reviewed journals/scientific conferences.
QUALIFICATIONS
PhD degree in computational neuroscience, physics, applied mathematics, bioengineering, applied mathematics or related field.
Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background e.g. in computational physics, applied mathematics, biophysics, machine learning and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as Python.
Ability to meet aggressive timelines and deliverables in a collaborative environment.
Strong publication record.
Experience in pursuing research projects in collaborative fashion.
Proven independent thinking and flexibility.
Familiarity with in vitro and in vivo electrophysiological monitoring techniques and data analyses.
Strong written and verbal communication skills.
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From dst at cs.cmu.edu Mon Jan 16 21:54:34 2017
From: dst at cs.cmu.edu (Dave Touretzky)
Date: Mon, 16 Jan 2017 21:54:34 -0500
Subject: Connectionists: Summer Undergraduate Program in Computational
Neuroscience
Message-ID: <24620.1484621674@AMMON2.BOLTZ.CS.CMU.EDU>
Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate
Program in Computational Neuroscience
Undergraduates interested in receiving research training in
computational neuroscience are encouraged to apply to an NIH-sponsored
summer program at the Center for the Neural Basis of Cognition in
Pittsburgh. The Center for the Neural Basis of Cognition is a joint
interdisciplinary program of Carnegie Mellon University and the
University of Pittsburgh. Starting in May of 2017, a select group of
talented undergraduates will embark on a 10-week residential program
that provides intensive, mentored research experiences in
computational and theoretical neuroscience. Admitted students will
receive a stipend and university dormitory housing.
The 2017 program will run from late May through early August, 2017
(precise dates will be announced in March). The final deadline for
application is February 23. Interested students should complete the
short pre-application form:
https://goo.gl/forms/n8RKA0LdZlYBKmHq2
More information can be found on our website:
http://www.cnbc.cmu.edu/summercompneuro
The core of the program is the opportunity to carry out an individual
mentored research project working closely with a faculty mentor. Other
aspects of the scientific program include faculty research talks,
student presentations and discussion of articles from the scientific
literature, presentations on career options and scientific ethics, and
a concluding symposium in which students present their research.
This program is intended for students who wish to pursue a Ph.D. after
graduation. Any undergraduate may apply, but we are especially
interested in attracting students with strong quantitative
backgrounds. Many of our trainees are from colleges and universities
that do not have extensive research programs, but all must be United
States citizens or permanent residents, must be enrolled at a 4-year
accredited institution, and must be in their sophomore or junior year
at the time of application. CNBC is dedicated to creating an
inclusive and welcoming environment for all students and we encourage
applications from women, under-represented minorities, and individuals
with disabilities.
From tomas.hromadka at gmail.com Mon Jan 16 18:45:36 2017
From: tomas.hromadka at gmail.com (Tomas Hromadka)
Date: Tue, 17 Jan 2017 00:45:36 +0100
Subject: Connectionists: COSYNE 2017: Registration and hotel deadlines are
fast approaching
Message-ID:
====================================================
Computational and Systems Neuroscience 2017 (Cosyne)
MAIN MEETING
23 - 26 February 2017
Salt Lake City, Utah
WORKSHOPS
27 - 28 February 2017
Snowbird, Utah
www.cosyne.org
====================================================
REGISTRATION AND HOTELS
Online registration for Cosyne is currently open. Please note that
presenting authors must register for the main meeting by the early
registration deadline.
Early registration deadline
Jan 31, 2017, 11.45PM EST
Hotel booking for Cosyne is currently open. Please note that deadlines
for reduced hotel rates are fast approaching.
Hotel booking deadlines
Jan 20, 2017, Last day for reduced hotel rates at workshops
Feb 01, 2017, Last day for reduced hotel rates at main meeting
For more detailed information on Cosyne registration and accommodation,
please visit www.cosyne.org.
THE MEETING
The annual Cosyne meeting provides an inclusive forum for the exchange
of empirical and theoretical approaches to problems in systems
neuroscience, in order to understand how neural systems function.
The MAIN MEETING is single-track. A set of invited talks are selected by
the Executive Committee, and additional talks and posters are selected
by the Program Committee, based on submitted abstracts. The WORKSHOPS
feature in-depth discussion of current topics of interest, in a small
group setting. For details on workshop proposals please visit
cosyne.org, section Workshops.
Cosyne topics include but are not limited to: neural coding, natural
scene statistics, dendritic computation, neural basis of persistent
activity, nonlinear receptive field mapping, representations of time and
sequence, reward systems, decision-making, synaptic plasticity, map
formation and plasticity, population coding, attention, and computation
with spiking networks.
We would like to foster increased participation from experimental groups
as well as computational ones. Please circulate widely and encourage
your students and postdocs to attend.
CONFIRMED SPEAKERS
Yoshua Bengio (Montreal)
Brent Doiron (Pittsburgh)
Catherine Dulac (Harvard)
Greg Gage (Backyard Brains)
Surya Ganguli (Stanford)
Maria Geffen (Penn)
Gero Miesenbock (Oxford)
Liz Phelps (NYU)
Jonathan Pillow (Princeton)
Vanessa Ruta (Rockefeller)
Daphna Shohamy (Columbia)
Kay Tye (MIT)
Nao Uchida (Harvard)
ORGANIZING COMMITTEE:
General Chairs: Megan Carey (Champalimaud) and Emilio Salinas (Wake Forest)
Program Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington)
Workshop Chairs: Laura Busse (LMU, Munich) and Alfonso Renart
(Champalimaud)
Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert
Wilson (U Arizona)
Publicity Chair: Il Memming Park (Stony Brook)
EXECUTIVE COMMITTEE:
Anne Churchland (CSHL)
Zachary Mainen (Champalimaud)
Alexandre Pouget (U Geneva)
Anthony Zador (CSHL)
CONTACT
cosyne.meeting [at] gmail.com
COSYNE MAILING LISTS
Please consider adding yourself to Cosyne mailing lists (groups) to
receive email updates with various Cosyne-related information and join
in helpful discussions. See Cosyne.org -> Mailing lists for details.
From sml at essex.ac.uk Tue Jan 17 09:12:32 2017
From: sml at essex.ac.uk (Lucas, Simon M)
Date: Tue, 17 Jan 2017 14:12:32 +0000
Subject: Connectionists: Permanent Faculty Positions
Message-ID:
Dear all,
We have the following faculty positions available - at Lecturer (Assistant Professor) level.
See links for more details (topic areas include Neural Networks and Deep Learning).
Lecturer in Computer Science and AI (2 posts)
http://www.jobs.ac.uk/job/AWI614/lecturer-in-computer-science-and-artificial-intelligence/
Lecturer in Internet of Things (1 post)
http://www.jobs.ac.uk/job/AWI565/lecturer-internet-of-things/
Deadline: Feb 7.
Best wishes,
Simon Lucas
Professor Simon Lucas
Head of CSEE
University of Essex
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From sml at essex.ac.uk Tue Jan 17 09:05:00 2017
From: sml at essex.ac.uk (Lucas, Simon M)
Date: Tue, 17 Jan 2017 14:05:00 +0000
Subject: Connectionists: Fully funded PhD Studentships
Message-ID:
We have FIVE fully funded PhD studentships available,
with topic areas including Deep Learning and Neural Networks.
https://www.essex.ac.uk/csee/fees_and_scholarships/default.aspx
Closing date Feb 28.
Best wishes,
Simon Lucas
Professor Simon Lucas
Head of CSEE
University of Essex
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From h.jaeger at jacobs-university.de Tue Jan 17 16:52:38 2017
From: h.jaeger at jacobs-university.de (Herbert Jaeger)
Date: Tue, 17 Jan 2017 22:52:38 +0100
Subject: Connectionists: Assistant professorship in Data Science (and
another opening in computer science) at Jacobs University Bremen
Message-ID:
I would like to draw your attention to two job openings at Jacobs
University Bremen:
1. Assistant Professor of Data Engineering
Desired background e.g. big data technologies and data integration,
privacy and security, data mining, scalable processing of sensor and
telemetry data, internet of things.
2. Assistant Professor of Computer Science
Target areas include, but are not limited to, visualization/computer
graphics, data analytics, cybersecurity, robotics, logistics, industry 4.0.
An initial contract will cover three years. Following successful
evaluation, tenure is possible.
Jacobs University Bremen is Germany?s only private university with a
full range of disciplines from the natural sciences, engineering, the
social sciences and the humanities. Operative since 2001, Jacobs
University has quickly gained a reputation as a model implementation of
the anglo-saxon university in Germany. Its successes and its
interdisciplinary and intercultural profile has incited the Jacobs
Foundation to donate to this university the largest sum (200 Mio Euro)
given in Europe to an educational institution to that date; honoring
this singular act the Board of Governors have decided in 2006 to name
the university Jacobs University Bremen.
Jacobs University currently has about 1,200 enrolled students (including
330 PhD students) from more than 110 nations and a faculty of about 95
professors. Despite its small size and short time of existence, Jacobs
University has already scored top placements in several disciplines
(including Computer Science) in Germany?s most comprehensive and
detailed university ranking (CHE ranking, administered by the Center
for Higher Education and the German Academic Exchange Service,
http://www.che-ranking.de/cms/?getObject=613&getLang=en). Jacobs
University has acquired large-scale national and international projects,
among them coordinatorship/partnership in more than 75 European FP7 and
Horizon 2020 collaborative projects.
For details concerning the two open positions, please visit
http://www.jacobs-university.de/assistant-professor-data-engineering-mf-ju-16-84
http://www.jacobs-university.de/assistant-professor-computer-science-mf-ju-16-83
Dr. Herbert Jaeger
Professor for Computational Science
Jacobs University Bremen gGmbH
Campus Ring, 28759 Bremen, Germany
email h.jaeger at jacobs-university.de
http://minds.jacobs-university.de
From T.Nowotny at sussex.ac.uk Wed Jan 18 04:22:34 2017
From: T.Nowotny at sussex.ac.uk (Thomas Nowotny)
Date: Wed, 18 Jan 2017 09:22:34 +0000
Subject: Connectionists: Post-doc position in Computational Neuroscience
available at University of Sussex
In-Reply-To:
References:
Message-ID: <8F5047E6-901E-4DED-849A-E123896B6D24@sussex.ac.uk>
Dear all,
A post-doc position in Computational Neuroscience is available at the University of Sussex for 20 months to be filled as soon as possible.
You will be joining the Odor Objects project (http://www.odor-objects.org/), in which we are investigating how animals interpret the complex
odor plumes of chemicals in the air to identify sources of odors and distinguish them. Odor Objects is supported by the Human Frontiers Science Program (www.hfsp.org/)
and combines 4 international groups in Konstanz, Germany (physiology), Tempe, Arizona (behavior), Tokyo, Japan (robotics) and Brighton, UK (computational models).
If you are joining us at Sussex your work will involve computational modelling of brain networks and data analysis of related data from the experimental partners.
Models will then be used to design bio-mimetic controllers which will be tested by our partners in Japan.
We are looking for a talented post-doc with an interest in computational work. Applicants from all science disciplines are welcome but essential skills are the ability
to program, mathematical skills, e.g. to be able to apply dynamical systems analysis, and creative scientific thinking.
The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex at the outskirts of the lively South Coast town of Brighton.
As part of the project you will travel to the project partners worldwide.
There are many opportunities for further interactions at Sussex beyond the project, e.g. with the Brains on Board project (BrainsOnBoard), and a wide variety of Neuroscience
research in Sussex Neuroscience (www.sussex.ac.uk/sussexneuroscience/).
For more details and to apply, please go to http://www.sussex.ac.uk/aboutus/jobs/1626 .
There is an initial closing date of 1 February 2017 but we will continue searching until the position is filled.
Best regards,
Thomas
--
Prof Thomas Nowotny
Director of Research and Knowledge Exchange
School of Engineering and Informatics
University of Sussex
Falmer, Brighton BN1 9QJ, UK
Phone: +441273678593
FAX: +441273877873
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From davrot at neuro.uni-bremen.de Wed Jan 18 09:37:34 2017
From: davrot at neuro.uni-bremen.de (David Rotermund)
Date: Wed, 18 Jan 2017 15:37:34 +0100
Subject: Connectionists: Excellence workshop ''Dynamical Network States,
Criticality and Cortical Function'' (March 25-28, 2017 in Germany)
Message-ID:
We would like to invite you to participate in our excellence workshop
?Dynamical Network States, Criticality and Cortical Function?. It will
take place March 25-28, 2017 at the Hanse-Wissenschaftskolleg in
Delmenhorst (near Bremen, Germany).
Please feel free to forward the following information to anyone who you
think may be interested in attending our workshop.
Confirmed Speakers
John Beggs, Matthias Bethge, Stefan Bornholdt, Mauro Copelli, Lucilla
de Arcangelis, Thilo Gross, Michael Herrmann, Anna Levina, Klaus
Linkenkaer-Hansen, Paolo Massobrio, Ruben Moreno-Bote, Eilif Benjamin
M?ller, Dietmar Plenz, Viola Priesemann, Silvia Scarpetta, Woodrow Shew,
Oren Shriki, Thilo Womelsdorf.
Workshop description
====================
Current information on the workshop can be found on the website
http://www.h-w-k.de/index.php?id=2240
Soon we will update this web-page with the program .
Cortical information processing relies heavily on the collective
dynamics of neurons and networks distributed over many brain areas. A
key concept for understanding this process is the idea that networks
operate near a critical state, which offers several potential benefits
for computation and information processing. However, there is still a
large gap between research on criticality and understanding brain
function: For example,
* biological cortical networks are not homogeneous but highly structured,
* they are not in a state of spontaneous activation but strongly driven
by changing external stimuli, and
* they process information with respect to a concrete behavioral goal.
Moreover, critical states are just one side of the medal, since there
are other concepts of how collective dynamics enables, shapes, and
controls information processing; i.e. actively provide an operating
point for cortical computation: To name just a few, there are
* balance between excitation and inhibition,
* temporal coordination and multiplexing, and
* task-dependent computation and signal routing (selective attention).
Understanding cortical function will only be possible by putting these
conceptual ideas into a unifying framework and critically test them
against experimental evidence.
In this workshop we will bring together experts representing different
approaches for understanding the collective dynamics of cortical
networks and their implications for information processing. Hereby we
will focus on work with a concrete link to cortical physiology,
structure or dynamics observed in experiments. Our goals are to
establish novel links between communities, concepts and methods and to
identify key problems that have to be addressed by future theoretical
and experimental work.
Registration
============
The general costs of the workshop will be subsidized by the
'Hanse-Wissenschaftskolleg Institute for Advanced Study' (www.h-w-k.de)
and by the BMBF (Bernstein Award Udo Ernst). However, in order to cover
all costs, we ask for a registration fee in the amount of ? 50,00 for
PhD students and ? 100,00 for postdocs/professors. Unfortunately, we
cannot cover your costs for accommodation and travelling. Participation
in the workshop will be limited to about 60 attendees (20 main speakers,
40 postdocs + PhD students).
In case you are interested in participating, we would ask you to send
your reply to Agnes Janssen ajanssen at neuro.uni-bremen.de. We can also
arrange hotel reservations for you.
Poster session
==============
Besides the talks of the main speakers and plenty of time for
discussions, there will be a poster session. You are invited to present
a poster, in which case please send the title and abstract to Agnes Janssen.
Again, we would greatly appreciate having you at our workshop. If you
have any questions, please do not hesitate to contact us.
Yours sincerely
Udo Ernst and Nergis T?men
From florian.roehrbein at in.tum.de Wed Jan 18 09:50:04 2017
From: florian.roehrbein at in.tum.de (Florian Roehrbein)
Date: Wed, 18 Jan 2017 15:50:04 +0100
Subject: Connectionists: [jobs] Experienced Simulation Software Engineer
Neuro-Robotics
Message-ID: <471CADCC-D15F-4F6B-B203-B459FCBD990F@in.tum.de>
The Human Brain Project (HBP) is an ambitious, large-scale, research initiative funded by the European Commission with global recognition. More than a 100 research institutes from various disciplines all over Europe cooperate intensively to achieve a multi-level, integrated understanding of brain structure and function through the development and use of information and communication technologies (ICT).
The project will run for about 10 years and during this time six ICT platforms will be developed. The Neurorobotics Platform (NRP) is a web-based platform for the design and performance of neurorobotics experiments, and is built under the direction of Prof. Alois Knoll. It grants neuroscientists easy access to state-of-the-art simulators: spiking neural networks, robotics and physics. These simulators are connected together and coordinated within a closed loop. They run on high performance computing resources and on neuromorphic hardware. The NRP also provides tools to create neurorobotics experiments, namely designers for the creation of brain-body interfaces, virtual worlds and robot models. To strengthen our Neurorobotics team at TUM we are looking for an
Experienced Simulation Software Engineer ? Neurorobotics
Profile:
Masters degree in software engineering or similar (Bachelors if proven relevant professional experience)
Minimum of 3 years of experience and successful development track record for simulation-based software projects
Major duties and responsibilities:
Development of our graphical Robot Designer application (Python / Blender / Javascript)
Gazebo plugins development (C++, ROS)
Frontend development of rich, highly interactive 3D web interfaces (HTML5, CSS, Javascript)
Backend development at the brain simulator level (Python, C++ / MPI)
All aspects of the modern software development lifecycle: unit testing, continuous integration, version control, debugging, documentation
Support to the users for setting up new neurorobotics experiments
Essential skills and experience required:
Experience in robotics on the software layer or 3D simulation development
Good familiarity with 3D simulators / libraries and either ROS, Gazebo or other robotic simulator
Strong experience in C++ or other object oriented programming language
Strong motivation to learn the other languages / technologies that we use, in particular spiking neural networks
Very good familiarity with team work and modern software development life-cycle
Flexible, good team player and fluent in written and spoken English, German a plus
Preferred:
Agile Methodologies; SaaS environment experience
Python, HTML, Javascript languages; WebGL, ThreeJS, AngularJS frameworks
Experience with neural networks, NEST simulator
What we offer:
A prestigious project of global prominence in simulation-based neuroscience
A dynamic, interdisciplinary, and motivated team
Remuneration in line with the current German public service salary scale TV-L
A modern working environment based at the TUM Campus in Garching / Munich
Applicants should submit a cover letter and a detailed CV in PDF format with file name ?_HBP_SW_cover? and ?_HBP_ SW_CV? to florian.roehrbein at in.tum.de
Starting date ASAP.
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From jdrugo at gmail.com Wed Jan 18 12:08:10 2017
From: jdrugo at gmail.com (Jan Drugowitsch)
Date: Wed, 18 Jan 2017 12:08:10 -0500
Subject: Connectionists: Postdoctoral fellowship in computational
neuroscience at Harvard
Message-ID:
Dear all,
Jan Drugowitsch (Department of Neurobiology, Harvard) and Sam Gershman
(Department of Psychology, Harvard) are seeking a postdoctoral fellow
to work on a project combining computational modeling, psychophysics,
and clinical studies. The project focuses on the neural basis of
visual structure discovery, using motion perception as a model system.
Our goal is to understand how neural circuits represent and reason
about complex combinatorial structures, and how these neural circuits
break down in autism. The postdoctoral fellow's main focus is the
computational modeling component of the project.
The Drugowitsch and Gershman labs are located in the Longwood medical
area and Harvard?s Cambridge campus, respectively. Harvard, and the
Boston area in general, has an excellent neuroscience community and
programs in engineering, statistics, and related fields.
Candidates must have a Ph.D. in a quantitative discipline and strong
background in Bayesian modeling and computational neuroscience.
Experience with visual psychophysics experiments is desirable but not
essential. Applicants should send a CV and statement of research
interests to Jan Drugowitsch (Jan_Drugowitsch at hms.harvard.edu).
The initial appointment is for one year with the expectation of
extension given satisfactory performance. Applications will be
reviewed until the position is filled. Jan Drugowitsch will be
attending the the Computational and Systems Neuroscience meeting on
February 23-28 to interview potential candidates.
Best regards,
Jan Drugowitsch
Assistant Professor in Neurobiology
Harvard Medical School
From Eirini.Mavritsaki at bcu.ac.uk Thu Jan 19 07:03:45 2017
From: Eirini.Mavritsaki at bcu.ac.uk (Eirini Mavritsaki)
Date: Thu, 19 Jan 2017 12:03:45 +0000
Subject: Connectionists: =?windows-1252?q?3_years_funded_PhD_in__oscillato?=
=?windows-1252?q?ry_behaviour_in_Alzheimer=92s_disease_to_establish_bioma?=
=?windows-1252?q?rkers=2C_Deadline_31st_of_January?=
Message-ID: <3FCD70F47E1E99449079BAD1F20D729C01DDA4CFB3@EXMBXCS.staff.uce.ac.uk>
Dear all,
We are advertising a 3 year funded PhD project in
"Investigating oscillatory behaviour in Alzheimer?s disease to establish biomarkers: an EEG and computational modelling programme of PhD study"
Successful applicants for our funded PhD studentships will receive a tax-free research stipend that tracks UK Research Council rates (currently ?14,296) and a fee waiver to the value of Home / EU student PhD fees (currently ?4,120). Closing date for applications Tuesday 31 January 2017 at 23:59.
This is a transdisciplinary STEAM Project
This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier?s. We plan to simulate this data and the changes observed in this data by developing a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The synaptic currents that sSoTS contains will allow us to extract the ERP profile and simulate the above described experiment. In addition to that sSoTS model has already successfully simulated visual search outcomes for patients with Alzheimer?s (Mavritsaki and Humphreys, 2013).
The project is separated into two phases: in phase 1, we plan to develop the computational model to simulate controls and mild cognitive impairment patients and in phase 2 we are planning to extend the model to allow us to predict the development of the disease based on identified biomarkers.
The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. CAP Research is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team.
You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/courses/social-sciences
Candidate Qualification and Specifications:
Essential
? The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or related area.
? The applicant should have experience of computational modelling, evidenced by previous work or masters degree.
? A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules).
? Experience in C++ and Matlab.
Desirable
? A Masters? degree in research methods, psychology or computational modelling
? Experience in EEG analysis
Contact: Eirini Mavritsaki, Ph.D., CPsychol
Email: eirini.mavritsaki at bcu.ac.uk
Best regards,
Eirini Mavritsaki
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Eirini Mavritsaki, PhD, CPsychol
Senior Lecturer in Cognitive Psychology
Director of Research in the School of Social Sciences
Department of Psychology
Faculty of Business Law and Social Sciences
Birmingham City University
The Curzon Building
4 Cardigan Street
Birmingham
B4 7BD
eirini.mavritsaki at bcu.ac.uk
0121 331 6361
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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From yiyin at ee.columbia.edu Thu Jan 19 09:35:47 2017
From: yiyin at ee.columbia.edu (Yiyin Zhou)
Date: Thu, 19 Jan 2017 09:35:47 -0500
Subject: Connectionists: Fruit Fly Brain Hackathon 2017
Message-ID:
Fruit Fly Brain Hackathon 2017
FFBH 2017 March 12,
2017Columbia University, New York, NY 10027
We are pleased to announce the 2nd Fruit Fly Brain Hackathon (FFBO 2017).
This hackathon will feature the Fruit Fly Brain Observatory (FFBO) and its
key components NeuroNLP and NeuroGFX. The former allows for exploring fruit
fly brain data using plain English queries, and the latter facilitates the
modeling and execution of such brain circuits. Brief tutorials will be
given on the usage of the FFBO as well as developing new tools/features in
FFBO. The hackathon is aimed at three main groups of participants:
neurobiologists, modelers and software engineers. The goal of the hackathon
is to bring together these three groups of participants to create new ideas
to develop, use and improve the FFBO platform towards developing executable
model of the fruit fly brain.
The Fruit Fly Brain Hackathon is organized in conjunction with the Columbia
Workshop on Brain Circuit, Memory and Computation on March 13-14, 2017.
Participants of the hackathon are welcome to attend the workshop.
Registration is free but all participants have to register
(*https://ffbo17.eventbrite.com/
*).
Organizers:
Paul Richmond, Department of Computer Science, University of Sheffield
Adam Tomkins, Department of Automatic Control and Systems Engineering,
University of Sheffield
Nikul Ukani, Department of Electrical Engineering, Columbia University
Yiyin Zhou, Department of Electrical Engineering, Columbia University
More information can be found on the hackathon website:
http://www.bionet.ee.columbia.edu/hackathons/ffbh/2017
------------------------------------------------------------
------------------
Best Regards,
Yiyin Zhou,
on behalf of the organizers
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From rrosenb1 at nd.edu Thu Jan 19 11:16:46 2017
From: rrosenb1 at nd.edu (Robert Rosenbaum)
Date: Thu, 19 Jan 2017 11:16:46 -0500
Subject: Connectionists: International Conference on Mathematical
Neuroscience (ICMNS): Abstracts Due Jan 31
Message-ID:
This is a reminder that Abstract Submissions are due January 31, 2017 for the 3rd International Conference on Mathematical Neuroscience (ICMNS 2017), to be held at the Hotel Boulderado in Boulder, Colorado from May 30 to June 2, 2017.
https://www.math.uh.edu/~zpkilpat/icmns2017/index.html
Meeting registration will open soon. Early Registration (Until March 31) will be $250 for students/postdocs, $350 for faculty, and $50 for tutorials.
The International Conference on Mathematical Neuroscience will provide a forum for researchers to discuss current mathematical innovations emerging in neuroscience. A major aim of the conference is to attract and train young researchers on current methods in mathematical neuroscience.
Abstract Submission: We encourage abstract submission by researchers from all areas of mathematical neuroscience. One page abstracts will be reviewed by a Program Committee and divided into three parallel talk sessions and a poster session. Details are given here:
https://www.math.uh.edu/~zpkilpat/icmns2017/submissions.html
Student Travel Awards: This year, we will offer student travel awards, due to the generous support from NSF, SIAM, Burroughs Wellcome, and the University of Colorado. To apply, students must submit an abstract and include a current CV as part of their submitted document in Easychair.
Confirmed Speakers
Danielle Bassett (University of Pennsylvania)
Paul Bressloff (University of Utah)
Nicolas Brunel (University of Chicago)
Sophie Deneve (?cole Normale Sup?rieure)
Brent Doiron (University of Pittsburgh)
Marla Feller (University of California, Berkeley)
Ila Fiete (University of Texas)
Stefano Fusi (Columbia University)
Peter Thomas (Case Western Reserve University)
Taro Toyoizumi (Riken Brain Science Institute)
Tutorial Speakers: Paul Bressloff, Sophie Deneve, Brent Doiron, Stefano Fusi, Joel Zylberberg (University of Colorado, School of Medicine)
Program Committee
https://www.math.uh.edu/~zpkilpat/icmns2017/committees.html
We hope to see you in Boulder this May!
All the best
Zachary Kilpatrick (University of Colorado)
Julijana Gjorgjieva (Max Planck Institute for Brain Research)
Robert Rosenbaum (University of Notre Dame)
From alessandra.sciutti at gmail.com Thu Jan 19 09:47:07 2017
From: alessandra.sciutti at gmail.com (Alessandra Sciutti)
Date: Thu, 19 Jan 2017 15:47:07 +0100
Subject: Connectionists: Call for Workshops and Tutorials for the
International Conference on Human-Agent Interaction (HAI 2017)
Message-ID: <013601d27262$e8768a90$b9639fb0$@gmail.com>
[We apologize if you receive multiple copies of this message]
==========================================================================
*** HAI 2017 Call for Workshops and Tutorials ***
The Fifth International Conference on Human-Agent Interaction (HAI 2017)
Bielefeld, Germany ~ 17 - 20 October 2017
http://hai-conference.net/hai2017/
==========================================================================
We invite proposals for workshops and tutorials to be held at HAI 2017
Conference, which will take place on 17 October, 2017 as part of the main
conference scheduled for 17-20 October, 2017 in Bielefeld, Germany.
The workshop and tutorial sessions aim to provide an opportunity to discuss
current and emergent topics on Human-Agent Interaction including but not
limited to research topics, application, design and implication concerning
the social aspects of agent interfacing. In particular, we welcome both full
and half day workshop and tutorial proposals that bridge the gap between
theoretical advances and innovative applications of Human-Agent Interaction.
*** Guidelines for proposals ***
----------------------------------------------------
Workshop and tutorial proposals should contain the necessary information for
the respective chairs and reviewers to judge the importance, quality and
community interest in the proposed topic. Each workshop/tutorial should have
one or more designated organizers and a workshop/tutorial program. When
proposing a workshop/tutorial, please provide the following information:
. A concise title
. A description of the specific issues that the workshop/tutorial will
address, the reasons why the workshop/tutorial is of interest to the
community, and the main research areas involved.
. Proposed duration of the workshop/tutorial - half or full day
. The names and affiliations of the organizers
. A tentative list of Program Committee members
. A draft of the Call for Papers, including information on accepted
formats and expected format of the workshop/tutorial (e.g., invited talks,
presentations, poster sessions, panel discussions, challenge sessions, or
other ideas for ensuring an interactive atmosphere)
. Any special requirements regarding logistics (e.g. poster stands, more
than one projector), if applicable.
*** Proposal submission ***
---------------------------------------------
Please submit your workshop and tutorial proposals by e-mail to the HAI
workshop chair at workshop at hai2017.org.
***Important Dates***
--------------------------------------
14 May 2017: Deadline for submission of proposals
08 June 2017: Notification of acceptance of proposals
04 August 2017: Final camera-ready workshop papers due
For inquiries, please contact
workshop at hai2017.org.
----------------------------------------
Alessandra Sciutti (PhD)
Researcher, Robotics Brain and Cognitive Sciences Unit
Istituto Italiano di Tecnologia
Center for Human Technologies
Via Enrico Melen 83, Building B
16152 Genova, Italy
tel: +39 010 8172 210
email: alessandra.sciutti at iit.it
website:
https://www.iit.it/people/alessandra-sciutti
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From dayan at gatsby.ucl.ac.uk Thu Jan 19 12:14:03 2017
From: dayan at gatsby.ucl.ac.uk (Peter Dayan)
Date: Thu, 19 Jan 2017 17:14:03 +0000
Subject: Connectionists: Faculty search: Gatsby Unit Director
In-Reply-To: <20161020125139.GA9577@gatsby.ucl.ac.uk>
References: <20161020125139.GA9577@gatsby.ucl.ac.uk>
Message-ID: <20170119171403.GC8936@gatsby.ucl.ac.uk>
University College London and the Gatsby Charitable Foundation are
seeking a new Director for the Gatsby Computational Neuroscience Unit.
The Director will be a professorial-level appointment. S/he will be
expected to provide scientific direction, intellectual leadership and to
be responsible for the on-going operation and scientific development of
the Unit. His/her breadth of interests will be more critical than the
specific research area. Applications are invited from scientists who can
demonstrate the ability to lead a group performing computationally and
theoretically sophisticated research within the broad area bounded by
neuroscience, cognition and machine learning. Salary will be at a level
appropriate to the international standing of the successful applicant.
We particularly welcome female applicants and those from an ethnic
minority, as they are under-represented within UCL at this level. This
is in line with section 48 of the Sex Discrimination Act and section 38
of the Race Relations Act.
For further information about the Unit, please see
http://www.gatsby.ucl.ac.uk
For informal enquiries, please contact Professor Ray Dolan (Chair, GCNU
Scientific Advisory Board; r.dolan at ucl.ac.uk) or Professor Geraint Rees
(Dean, Life Sciences; g.rees at ucl.ac.uk).
Closing Date: 19 Feb 2017
Full details available at:
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTYyNjIyNCZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmxvY2F0aW9uX2NvZGU9MTU5NjkmcG9zdGluZ19jb2RlPTIyNCZyZXFzaWc9MTQ4NDgyODE1My1hNGIyNWU1N2RkYmY0ZTg4M2FjMTY1NGNiNzRjMDBlNTA5MDZiNDNl
From Donald.Adjeroh at mail.wvu.edu Fri Jan 20 01:05:35 2017
From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh)
Date: Fri, 20 Jan 2017 06:05:35 +0000
Subject: Connectionists: Call for papers: SBP-BRiMS'17
In-Reply-To:
References: ,
,
,
Message-ID:
Apologies if you receive multiple copies.
----------------------------------------------------------------------------------------
SBP-BRiMS 2017
2017 International Conference on Social Computing,
Behavioral-Cultural Modeling & Prediction and Behavior
Representation in Modeling and Simulation (SBP-BRiMS)
July 5 (Wed) -- 8 (Sat), 2017, Lehman Auditorium, George
Washington University, Washington DC, USA
Conference Website: http://sbp-brims.org
All papers are qualified for the Best Paper Award. Papers with student first
authors will be considered for the Best Student Paper Award. Those
receiving these awards will be invited to publish an extended version in a
special issue of the journal Computational and Mathematical Organization
Theory.
IMPORTANT DATES:
Regular Paper Abstract Submission : February 22 (Wed), 2017
Regular Paper Submission : March 1 (Wed), 2017
Author Notification : March 24 (Fri), 2017
Final Version Submission : April 7 (Fri), 2017
Note, all regular papers will be evaluated for: presentation in plenary,
presentation in regular session, presentation as poster, or no presentation.
All accepted papers will be published in the physical proceedings ? the
Springer LNCS volume. This volume is considered archival.
Challenge Problem Submission : May 12 (Fri), 2017
Those submitting a response to the challenge are to submit a poster and a
short paper by this date. All accepted papers will be published in the online
proceedings only and will not be included in the Springer LNCS volume.
The online proceedings is not considered archival.
Posters & Demos Short Paper Submission : May 12 (Fri), 2017
This short paper submission is intended for late breaking results,
technology demos, and those papers from industry, government or the
military where constraints prevent the authors from writing a full paper. All
short papers (including those describing demos) will be evaluated for:
presentation as a poster, or no presentation. All accepted papers will be
published in the online proceedings only and will not be included in the
Springer LNCS volume. The online proceedings is not considered
archival.
Tutorial Proposal Submission : March 10 (Fri), 2017
Conference : July 5(Wed) to 8(Sat), 2017,
including the following:
Pre-conference Tutorial Sessions : July 10, 2017 (first day conference)
Poster Session : At Conference Poster Night
Technology Demos : Lunch times & Poster Night
Challenge Problem Evaluation : At Conference Poster Night
ABOUT SBP-BRiMS:
SBP-BRiMS is a multidisciplinary conference with a selective single paper
track and poster session. The conference also invites a small number of
high quality tutorials and nationally recognized keynote speakers. The
conference has grown out of two related meetings: SBP and BRiMS, which
were co-located in previous years.
Social computing harnesses the power of computational methods to study
social behavior, such as during team collaboration. Cultural behavioral
modeling refers to representing behavior and culture in the abstract, and is
a convenient and powerful way to conduct virtual experiments and
scenario analysis. Both social computing and cultural behavioral modeling
are techniques designed to achieve a better understanding of complex
behaviors, patterns, and associated outcomes of interest. Moreover, these
approaches are inherently interdisciplinary; subsystems and system
components exist at multiple levels of analysis (i.e., ?cells to societies?)
and across multiple disciplines, from engineering and the computational
sciences to the social and health sciences.
The SBP-BRiMS conference invites modeling and simulation papers from
academics, research scientists, technical communities and defense
researchers across traditional disciplines to share ideas, discuss research
results, identify capability gaps, highlight promising technologies, and
showcase the state-of-the-art in applications in the areas of cultural
behavioral modeling, prediction, and social computing.
Please see the SBP-BRiMS17 website for more details. Keynotes and
tutorials delivered in the previous SBP and BRiMS meetings are available
through the websites http://sbp-brims.org and
http://cc.ist.psu.edu/BRIMS2015/ .
CALL FOR PAPERS:
Submissions are solicited on research issues, theories, and applications.
Topics of interests include the following:
Advances in Sociocultural & Behavioral Processes
* Group interaction and collaboration
* Group formation and evolution
* Group representation and profiling
* Collective action and governance
* Cultural patterns & representation
* Social conventions, social contexts and processes
* Influence process and recognition
* Public opinion representation, identification and modeling
* Information diffusion
* Psycho-cultural situation awareness
Behavior Modeling
* Intelligent agents and avatars/adversarial modeling
* Cognitive robotics and human-robot interaction
* Models of reasoning and decision making
* Model validation & comparison
* Socio-cultural M&S: team/group/crowd/behavior
* Physical models of human movement
* Performance assessment & skill monitoring/tracking
* Performance prediction/enhancement/optimization
* Intelligent tutoring systems
* Knowledge acquisition/engineering
* Human behavior issues in model federations
Methodological Challenges
* Mathematical foundations
* Verification and validation
* Sensitivity analysis
* Matching technique or method to research questions
* Metrics and evaluation
* Methodological innovation
* Model federation and integration
* Evolutionary computing
* Optimization
Information, Systems, & Network Science
* Data mining on social media platforms
* Diffusion and other dynamic processes over networks
* Inference of network topologies and changes over time
* Analysis of link formations and link types
* Detection of communities and other types of structures in networks
* Analysis of high-dimensional networks
* Analytics for social and human dynamics
Military & Intelligence Applications
* Evaluation, modeling and simulation
* Group formation and evolution in the political context
* Technology and flash crowds
* Networks and political influence
* Group representation and profiling
* Reasoning about terrorist group behaviors and policies towards them
Applications for Health and Well-being
* Social network analysis to understand health behavior
* Modeling of health policy and decision making
* Modeling of behavioral aspects of infectious disease spread
* Intervention design and modeling for behavioral health
Other Applications
* Economic applications of behavioral and social prediction
* Viral marketing
* Reasoning about development aid through social modeling
* Reasoning about global educational efforts through cognitive simulation
FORMAT AND SUBMISSION:
The conference solicits three categories of papers:
Regular papers (max. 10 pages)
All topics and authors (academic, government, industry) welcome
Published in a Springer volume and online. Plenary or poster presentation.
Short papers and Late-breaking results (max. 6 pages)
All topics and authors welcome.
Published online. Typically a poster presentation.
Demos (2-page abstract, or max. 6 pages)
Published online. Typically a poster or demo presentation.
Paper Formatting Guideline
The papers must be in English and MUST be formatted according to the
Springer-Verlag LNCS/LNAI guidelines. Sample LaTeX2e and WORD files
are available at http://www.springer.com/computer/lncs?SGWID=0-164-6-
793341-0. It is not required to submit a cover page.
All regular paper submissions should be submitted as a paper with a
maximum of 10 pages using the foregoing format. All submissions for
posters, demo-presentations, challenge problem entries and late breaking
results should be submitted as a paper with a maximum of 6 pages using
the same format as the regular papers. All accepted entries will be posted
on the SBP-BRiMS 2017 website.
A selection of authors will be invited to contribute journal versions of their
papers to one of two planned special issues of the Springer journal
?Computational and Mathematical Organization Theory? and another high-
profile journal.
The submission website will be available at:
https://easychair.org/conferences/?conf=sbpbrims2017. To register a
paper abstract, use the standard Easychair submission website and
submit your title and abstract. Until the final paper deadline, you will be
able to update your submission.
PUBLICATION
For any questions and inquiries concerning submissions, please email the
program chairs at sbpbrims2017 at gmail.com.
PRE-CONFERENCE TUTORIAL SESSIONS:
Several half-day sessions will be offered on the day before the full
conference. Sessions will be designed to meet the needs of one of two
distinct groups. One group will consist of attendees who have backgrounds
in computational science; computer science, engineering, and other
mathematically oriented disciplines. Other tutorial sessions will be
designed for behavioral and social scientists and others (e.g. those with
medical backgrounds or training in public health) who may have limited
formal education in the computational sciences. Attendees will gain an
understanding of terminology, theories, and general approaches employed
by computationally based fields, especially with respect to modeling
approaches.
Tutorial proposal submission:
Tutorial proposals should be submitted online to
sbpbrims at andrew.cmu.edu.
At minimum, each proposal must contain the following information:
* Title of the tutorial.
* Description of the tutorial topic and structure.
* Expected audience (including the expected backgrounds of the
attendees).
* Short bio and contact information of the organizers.
More details regarding the pre-conference tutorial sessions, including
instructors, course content, and registration information will be posted to
the conference website (SBP-BRiMS.org) as soon as this information
becomes available. For further information, please contact
sbpbrims at andrew.cmu.edu.
CHALLENGE:
The conference expects to announce a computational challenge as in
previous years.
Additional details will be posted on the conference website.
FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES:
Previous SBP-BRiMS conferences have included a Cross-fertilization
Roundtable session or a Funding Panel. The purpose of the cross-
fertilization roundtables is to help participants become better acquainted
with people outside of their discipline and with whom they might consider
partnering on future SBP-BRiMS-related research collaborations. The
Funding Panel provides an opportunity for conference participants to
interact with program managers from various federal funding agencies.
Participants for the previous funding panels have included representatives
from federal agencies, such as the NSF, NIH, DoD, ONR, AFOSR, USDA,
etc.
BEST PAPER AWARDS:
SBP-BRiMS17 will feature a Best Paper Award and a Best Student Paper
Award. All papers are qualified for the Best Paper Award. Papers with
student first authors will be considered for the Best Student Paper Award.
HOTEL AND LOGISTICS:
Information on hotel and logistics will be provided at the conference
website as it becomes available.
TRAVEL SCHOLARSHIPS:
It is anticipated that a limited number travel scholarships will be available
on a competitive basis. Additional information will be provided on the SBP-
BRiMS Conference website as it becomes available.
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From kyunghyun.cho at nyu.edu Thu Jan 19 19:31:17 2017
From: kyunghyun.cho at nyu.edu (Kyunghyun Cho)
Date: Thu, 19 Jan 2017 19:31:17 -0500
Subject: Connectionists: [CFP] 2nd Workshop on Representation Learning for
NLP
Message-ID:
The 2nd Workshop on Representation Learning for NLP (
https://sites.google.com/site/repl4nlp2017/) invites papers of a
theoretical or experimental nature describing recent advances in vector
space models of meaning, compositionality, and the application of deep
neural networks and spectral methods to NLP. Relevant topics for the
workshop include, but are not limited to, the following areas (in
alphabetical order):
- Analysis of language using eigenvalue, singular value and tensor
decompositions
- Distributional compositional semantics
- Integration of distributional representations with other models
- Knowledge base embedding
- Language modeling for automatic speech recognition, statistical machine
translation, and information retrieval
- Language modeling for logical and natural reasoning
- Latent-variable and representation learning for language
- Multi-modal learning for distributional representations
- Neural networks and deep learning in NLP
- The role of syntax in compositional models
- Spectral learning and the method of moments in NLP
- Language embeddings and their applications
= Important Dates =
- Deadline for submission: 21 April 2017
- Notification of acceptance: 19 May 2017
- Deadline for camera-ready version: 26 May 2017
- Early registration deadline (ACL'17): To be announced
- Workshop: 3 or 4 August 2017
= Submissions =
We solicit three categories of papers: regular workshop papers, extended
abstracts and cross-submissions. Only regular workshop papers will be
included in the proceedings as archival publications, and only regular
workshop papers will be eligible for best paper prizes. All three
categories of papers may be long (maximum 8 pages plus references) or short
(maximum 4 pages plus references). All submissions should be in PDF format
and made through the Softconf website set up for this workshop (URL to be
announced).
Regular Workshop Papers
Authors should submit a long paper of up to 8 pages, with up to 2
additional pages for references, or a short paper of up to 4 pages, with up
to 2 additional pages for references, following the ACL 2017 formatting
requirements (see the ACL 2017 Call For Papers for reference:
http://acl2017.org/calls/papers/). The reported research should be
substantially original. Accepted papers will be presented as posters.
Reviewing will be double-blind, and thus no author information should be
included in the papers; self-reference that identifies the authors should
be avoided or anonymized. Accepted papers will appear in the workshop
proceedings.
= Best Paper Prizes =
Thanks to generous support from our sponsors: DeepMind, Microsoft Research,
and Facebook AI Research, we will be awarding a prize of $300 to the three
best regular workshop paper submissions as selected by our program
committee, to be presented at the workshop. Both long and short regular
submissions will be eligible for prizes. Best papers may be given the
opportunity for a brief ?lightning? talk to introduce their work.
= Extended Abstracts =
Preliminary but interesting ideas or results that have not been published
before may be submitted as extended abstracts. Accepted extended abstracts
will be presented as posters, and included in the workshop program and
handbook, but will not be included in the workshop proceedings (and are not
eligible for best paper prizes). Extended abstract submissions are
therefore ideal for preliminary work which would benefit from exposure but
is not ready for publication. Authors should submit a long extended
abstract of up to 8 pages, with up to 2 additional pages for references, or
a short extended abstract of up to 4 pages, with up to 2 additional pages
for references. Submissions should follow the ACL 2017 formatting
requirements (see the ACL 2017 Call For Papers for reference:
http://acl2017.org/calls/papers/). Reviewing will be double-blind, and thus
no author information should be included in the papers; self-reference that
identifies the authors should be avoided or anonymized.
= Cross-Submissions =
In addition to previously unpublished work, we also solicit papers on
relevant topics that have appeared in a non-NLP venue (e.g., workshop or
conference papers at NIPS or ICML). Accepted cross-submissions will be
presented as posters, with an indication of original venue, but will not be
included in the workshop program and handbook, or the workshop proceedings
(and are not eligible for best paper prizes). Cross-submissions are ideal
for related work which would benefit from exposure to the RepL4NLP
audience. Submission length is determined by the original venue. Interested
authors should submit their papers in PDF format through the RepL4NLP
Softconf website (URL to be announced), with a note on the original venue.
Papers in this category do not need to follow the ACL format and selection
will be solely determined by the organizing committee.
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From jimtoer at ifi.uio.no Fri Jan 20 03:17:10 2017
From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=)
Date: Fri, 20 Jan 2017 08:17:10 +0000
Subject: Connectionists: One Postdoc Fellowship in Machine Learning for
Mental Health Care Technology, University of Oslo, Norway
Message-ID: <1DCEAF2D-138F-4C4C-9A59-0D5D5DE66472@mail.uio.no>
One Postdoc Fellowship in Machine Learning for Mental Health Care Technology (2.5 years) in Department of Informatics, University of Oslo, Norway
The position is affiliated to the Robotics and Intelligent Systems group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/robin).
The goal of the Postdoc project is to develop a patient monitoring and support system using smartphone technology and built-in sensors as well as other on-body sensors that are relevant for capturing and classifying human behavior. This is with the goal of providing the user with the right interventions at the right time. It is a part of the Research Council of Norway funded project INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT, see www.intromat.no). The project ? led by Haukeland University Hospital, aims at developing technology that can analyse the user's voice, movement and other properties, and use that for modeling and predicting how these changes with the mental condition. Smartphone and wearables are relevant for data collection, and the system should provide the user with appropriate support and follow up schemes.
The fellowship will be for a period of two and a half years. The candidate will collaborate with a number of national partners in the project. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees.
Qualifications: Applicants must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in computer science including machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and machine learning/artificial intelligence. Moreover, knowledge in the fields of human behaviour tracking and analysis, sensor data analysis, biology-inspired techniques, behavior modeling, and app development would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed.
Pay grade (depending on qualifications and seniority):
Postdoc: NOK 512 700 ? 567 100 per year, approx.: ?56,000 ? 62,000 / $59,000 ? 65,000
Full announcement, see: http://uio.easycruit.com/vacancy/1761561/64290?iso=no
You apply by using the "Send application" link in the announcement.
Closing date for applications: 15th January, 2017
Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no
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From jesus.m.cortes at gmail.com Fri Jan 20 07:11:11 2017
From: jesus.m.cortes at gmail.com (Jesus Cortes)
Date: Fri, 20 Jan 2017 13:11:11 +0100
Subject: Connectionists: Quantitative Biomedicine Workshop, Bilbao,
deadline Feb 10
Message-ID:
Dear colleagues,
the Third Workshop on ?Quantitative Biomedicine for Health and Disease?
will take place in BCAM -Bilbao on 21st and 22nd February 2017 to discuss
recent investigations bringing the human health and its pathologies onto
the language and methods of quantitative sciences, like mathematics and
engineering.
The main goal of this workshop is to create cross talk between these two
research fields, and engage in a debate on the potential compatibilities,
advantages and disadvantages of one approach over the other in combination
with their potential to address important biomedical questions.
The Scientific Organizers and Program Chairs are:
Luca GERARDO-GIORDA (BCAM), Jes?s M. CORT?S (BioCruces), and Sebastiano
STRAMAGLIA (University of Bari).
The third edition will focus on cardiac and brain modeling, and the main
lecturers will be:
Oscar Camara Rey (U. Pompeu Fabra)
Marina de Tommaso (U. Bari)
Adelaide de Vecchi (King's College)
Luca Faes (U. Trento)
Jean Frederic Gerbeau (INRIA)
Plamen Ivanov (U. Boston)
Daniele Marinazzo (U. Ghent)
Pandelis Perakakis (U. Granada)
Jose Luis Pons (Inst. Cajal, CSIC)
Mark Potse (U. Bordeaux)
Javier Saiz Rodriguez (U. Politecnica Valencia)
Mariano Vazquez (Barcelona Supercomputing Center)
Communications
Abstracts for short communications (20 minutes) can be submitted, in a
one-page .pdf format, by February 10th.
Registration:
The registration fee is 50? (including coffee breaks and lunches).
Inscription is required by email at qbio at bcamath.org.
For more information:
Website (http://www.bcamath.org/en/workshops/qbio2017)
Jesus M Cortes, Luca Gerardo-Giorda and Sebastiano Stramaglia
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From yang at maebashi-it.org Sat Jan 21 08:15:31 2017
From: yang at maebashi-it.org (Yang)
Date: Sat, 21 Jan 2017 22:15:31 +0900
Subject: Connectionists: Brain Informatics 2017 - Call for Papers
Message-ID:
[Apologies if you receive this more than once]
CALL FOR PAPERS
The 2017 International Conference on Brain Informatics (BI'17)
Informatics Perspective of Investigation on the Brain and Mind
November 16-18, 2017, Beijing, China
Homepage: http://bii.ia.ac.cn/bi-2017/
Mirror: http://wi-consortium.org/conferences/bi-2017/
(FULL PAPER SUBMISSION DEADLINE: April 2, 2017)
Brain Informatics (BI) conference series provides a premier forum to
bring together researchers and practitioners in the fields of
neuroscience, cognitive science, computer science, data science,
artificial intelligence, information communication technologies, and
neuroimaging technologies.
BI'17 addresses the computational, cognitive, physiological,
biological, physical, ecological and social perspectives of brain
informatics, as well as topics relating to mental health and
well-being. It also welcomes emerging information technologies,
including but not limited to Internet/Web of Things (IoT/WoT), cloud
computing, big data analytics and interactive knowledge discovery
related to brain research. BI'17 also encourages submissions that
explore how advanced computing technologies are applied to and make a
difference in various large-scale brain studies and their
applications.
BI'17 welcomes paper submissions (full paper and abstract
submissions). Both research and application papers are solicited. All
submitted papers will be reviewed on the basis of technical quality,
relevance, significance and clarity. Accepted full papers will be
included in the proceedings by Springer LNCS/LNAI.
Workshop, Special-Session and Tutorial proposals, and
Industry/Demo-Track papers are also welcome. The organizers of
Workshops and Special-Sessions are invited to prepare a book proposal
based on the topics of the workshop/special session for possible book
publication in the Springer-Nature Brain Informatics & Health book
series.
*** Topics and Areas ***
Track 1: Cognitive and Computational Foundations of Brain Science
Track 2: Investigations of Human Information Processing Systems
Track 3: Brain Big Data Analytics, Curation and Management
Track 4: Informatics Paradigms for Brain and Mental Health
Track 5: Brain-Inspired Intelligence and Computing
IMPORTANT DATES:
================
March 10, 2017: Submission for workshop/special-session proposals
March 30, 2017: Notification of workshop/special-session proposal acceptance
April 2, 2017: Submission deadline for full papers
May 20, 2017: Submission deadline for workshop/special-session papers
June 10, 2017: Notification of full paper acceptance
June 20, 2017: Notification of workshop/special-session paper acceptance
June 20, 2017: Submission deadline for abstracts
July 10, 2017: Notification of abstract acceptance
November 16, 2017: Tutorials, workshops and special-sessions
November 17-18, 2017: Main conference
PAPER SUBMISSIONS & PUBLICATIONS:
=================================
TYPE-I (Full Paper Submissions; Submission Deadline: April 2, 2017):
Papers need to have up to 10 pages in LNCS format:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full
length papers accepted (and all special sessions' full length papers)
will be published by Springer as a volume of the series of LNCS/LNAI.
TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017):
Abstracts have a word limit of 500 words. Experimental research is
particularly welcome. Accepted abstract submissions will be included
in the conference program, and will be published as a single,
collective proceedings volume.
Title: Include in the title of the abstract all words critical for a
subject index. Write your title in sentence case (first letter is
capitalized; remaining letters are lower case). Do not bold or
italicize your full title.
Author: List all authors who contributed to the work discussed in the
abstract. The presenting author must be listed in the first author
slot of the list. Be prepared to submit contact information as well as
conflict of interest information for each author listed.
Abstract: Enter the body of the abstract and attach any applicable
graphic files or tables here. Do not re-enter the title, author,
support, or other information that is collected in other steps of the
submission form.
Presentation Preference: Authors may select from three presentation
formats when submitting an abstract: "poster only", "talk preferred"
or "no preference." The "talk preferred" selection indicates that you
would like to give a talk, but will accept a poster format if
necessary. Marking "poster only" indicates that you would not like to
be considered for an oral-presentation session. Selecting "no
preference" indicates the author's willingness to be placed in the
best format for the program.
Each paper or abstract requires one sponsoring attendee (i.e. someone
who registered and is attending the conference). A single attendee
can not sponsor more than two abstracts or papers.
Oral presentations will be selected from both full length papers and
abstracts.
*** Post-Conference Journal Publication ***
The Brain Informatics conferences have the formal ties with Brain
Informatics journal (Springer-Nature,
http://www.springer.com/40708). Accepted papers from the conference,
including their Best Paper Award papers, will be expended and revised
for possible inclusion in the Brain Informatics journal each year. It
is fully sponsored and no any article-processing fee charged for
authors of Brain Informatics conference.
*** Awards ***
Best Paper awards will be conferred at the conference on the authors
of (1) the best research paper and (2) the best student paper.
ORGANIZERS
==========
General Chairs
Bo Xu (Chinese Academy of Sciences, China)
Hanchuan Peng (Allen Institute for Brain Sciences, USA)
Qingming Luo (Huazhong University of Science and Technology, China)
Program Committee Chairs
Yi Zeng (Chinese Academy of Sciences, China)
Yong He (Beijing Normal University, China)
Jeanette Kotaleski (Karolinska Institute, Sweden)
Maryann Martone (University of California, San Diego, USA)
Organizing Chairs
Ning Zhong (Maebashi Institute of Technology, Japan, and
Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China
Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China)
Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China)
Workshop/Special-Session Chairs
An'an Li (Huazhong University of Science and Technology, China)
Sen Song (Tsinghua University, China)
Tutorial Chair
Wenming Zheng (South East University, China)
Publicity Chairs
Tielin Zhang (Chinese Academy of Sciences, China)
Shouyi Wang (University of Texas at Arlington, USA)
Yang Yang (Maebashi Institute of Technology, Japan, and
Beijing Advanced Innovation Center for Future Internet Technology,
Beijing University of Technology, China)
Steering Committee Chairs
Ning Zhong (Maebashi Institute of Technology, Japan)
Hanchuan Peng (Allen Institute for Brain Science, USA)
*** Contact Information ***
tielin.zhang at ia.ac.cn
shouyiw at uta.edu
yang at maebashi-it.org
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From arindam.basu at ntu.edu.sg Sat Jan 21 03:09:57 2017
From: arindam.basu at ntu.edu.sg (Arindam Basu)
Date: Sat, 21 Jan 2017 08:09:57 +0000
Subject: Connectionists: New JETCAS Special Issue: Low-Power,
Adaptive Neuromorphic Systems: Devices, Circuit,
Architectures and Algorithms
Message-ID: <077B8C05263E5842BEDBADACDC81F66701CB3ADE29@EXCHMBOX31.staff.main.ntu.edu.sg>
Dear all
** Apologies for cross-posting
Would like to draw your attention to a new Special issue in JETCAS on "Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms" that I am co-editing with colleagues. Manuscript submission deadline is on April 30, 2017. Look forward to receiving your contributions.
IEEE JOURNAL ON
EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
CALL for PAPERS
Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms
Guest Editors
Full name
Email
Affiliation
Arindam Basu*
arindam.basu at ntu.edu.sg
Nanyang Technological University
Tanay Karnik
tanay.karnik at intel.com
Intel
Hai Li
hai.li at duke.edu
Duke University
Elisabetta Chicca
chicca at cit-ec.uni-bielefeld.de
Bielefeld University
Meng-Fan Chang
mfchang at mx.nthu.edu.tw
National Tsing Hua University
Jae-sun Seo
jaesun.seo at asu.edu
Arizona State University
(* Corresponding)
Scope and Purpose
The recent success of ?Deep neural networks? (DNN) has renewed interest in bio-inspired machine learning algorithms. DNN refers to neural networks with multiple layers (typically two or more) where the neurons are interconnected using tunable weights. Though these architectures are not new, availability of lots of data, huge computing power and new training techniques (such as unsupervised initialization, use of rectified linear units as the neuronal nonlinearity, regularization using dropout or sparsity, etc.) to prevent the networks from over-fitting have led to its great success in recent times. DNN has been applied to a variety of fields such as object or face recognition in images, word recognition in speech or even natural language processing and the success stories of DNN keep on increasing every day.
However, the common training method in deep learning, such as back propagation, tunes the weights of neural networks based on the gradient of the error function, which requires a known output value for every input. It would be difficult to use such supervised learning methods to train and adapt to real-time sensory input data that are mostly unlabeled. In addition, training and classification phases of deep neural networks are typically separated, such that training occurs in the cloud or high-end graphics processing units, while their weights or synapses are fixed during deployment for classification. However, this makes it difficult for the neural network to continuously adapt to input or environment changes in real-world applications. By adopting unsupervised and semi-supervised learning rules found in biological nervous systems, we anticipate to enable adaptive neuromorphic systems for many real-time applications with a large amount of unlabeled data, similar to how humans analyze and associate sensory input data. Energy-efficient hardware implementation of these adaptive neuromorphic systems is particularly challenging due to intensive computation, memory, and communication that are necessary for online, real-time learning and classification. Cross-layer innovations on algorithms, architectures, circuits, and devices are required to enable adaptive intelligence especially on embedded systems with severe power and area constraints.
Topics of Interest
This special issue invites submissions relating to all aspects of adaptive neuromorphic systems across algorithms, devices, circuits, and architectures. Possible scalability to human brain-scale computing level with energy-efficient online learning is desired. Submissions are welcome in the following topics or other related topics:
? Spin mode adaptive neuromorphics with devices such as spin transfer nano-oscillator, domain wall memory, tunneling magnetic resistance, inverse spin hall effect, etc.
? Memristive technology based learning synapse and neurons
? Neuromorphic implementations of synaptic plasticity, short-term adaptation and homeostatic mechanisms
? Self-learning synapses (STDP and variants) and self-adaptive neuromorphic systems
? High fan-in scalable interconnect fabric technologies mimicking brain-scale networks
? Circuits and systems for efficient interfacing with post-CMOS memory based learning synapses
? Design methodology and design tools for adaptive neuromorphic systems with post-CMOS devices
? Algorithm, device, circuit, and architecture co-design for energy-efficient adaptive neuromorphic hardware
Important Dates
1. Manuscript submissions due: April 30, 2017
2. First decision: July 15, 2017
3. Revised manuscripts due: August 15, 2017
4. Final Decision: October 15, 2017
5. Final manuscripts due: November 15, 2017
Request for Information
Arindam Basu (arindam.basu at ntu.edu.sg)
https://mc.manuscriptcentral.com/jetcas
Best regards,
Arindam
http://www3.ntu.edu.sg/home/arindam.basu/
________________________________
CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents.
Towards a sustainable earth: Print only when necessary. Thank you.
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From terry at salk.edu Sun Jan 22 20:59:21 2017
From: terry at salk.edu (Terry Sejnowski)
Date: Sun, 22 Jan 2017 17:59:21 -0800
Subject: Connectionists: NEURAL COMPUTATION - February 1, 2017
In-Reply-To:
Message-ID:
Neural Computation - Volume 29, Number 2 - February 1, 2017
Available online for download now:
http://www.mitpressjournals.org/toc/neco/29/2
-----
Article
Learning the Structural Vocabulary of a Network
Saket Navlakha
Letters
Comparison of Different Generalizations of Clustering Coefficient
and Local Efficiency for Weighted Undirected Graphs
Yu Wang, Eshwar Ghumare, Rik Vandenberghe, and Patrick Dupont
Time Series Decomposition Into Oscillation Components and Phase Estimation
Takeru Matsuda, Fumiyasu Komaki
Neural Circuits Trained With Standard Reinforcement Learning Can Accumulate
Probabilistic Information During Decision Making
Nils Kurzawa, Christopher Summerfield, and Rafal Bogacz
Local and Global Gestalt Laws: A Neurally Based Spectral Approach
Marta Favali, Giovanna Citti, and Alessandro Sarti
Multistability of Delayed Recurrent Neural Networks
With Mexican-hat Activation Functions
Peng Liu, Zhigang Zeng, and Jun Wang
Exponentially Long Orbits in Hopfield Neural Networks
Samuel Pavio Muscinelli, Wulfram Gerstner, and Johanni Brea
Controllability Analysis of the Neural Mass Model With Dynamic Parameters
Xian Liu, Jing Gao, Guan Wang, and Zhi-Wang Chen
Energy Model of Neuron Activation
Yuriy Romanyshyn, Andriy Smerdov, and Svitlana Romanivna Petrytska
Block-regularized Mx2 Cross-validated Estimator of the Generalization Error
Rubio Wang, Yu Wang, jihong Li, Xingli Yang, and Jing Yang
------------
ON-LINE -- http://www.mitpressjournals.org/neuralcomp
SUBSCRIPTIONS - 2017 - VOLUME 29 - 12 ISSUES
Student/Retired $80
Individual $142
Institution $1,141
MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209
Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu
-----------
From bremeseiro at udc.es Sun Jan 22 16:12:48 2017
From: bremeseiro at udc.es (Beatriz Remeseiro =?utf-8?Q?L=C3=B3pez?=)
Date: Sun, 22 Jan 2017 22:12:48 +0100 (CET)
Subject: Connectionists: ICIAR 2017: Call for Papers (Extended Deadline:
February 3, 2017)
Message-ID: <491594701.6238116.1485119568264.JavaMail.zimbra@udc.es>
--------------------------------------------------------------
Apologies if you receive this more than once.
--------------------------------------------------------------
*IMPORTANT: Paper submission deadline extended to February 3, 2017.*
==============================================================
CALL FOR PAPERS (Deadline: February 3, 2017)
http://www.aimiconf.org/iciar17
==============================================================
ICIAR 2017 - 14th INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND RECOGNITION
July 5-7, 2017, Montreal, Canada
http://www.aimiconf.org/iciar17
==============================================================
ICIAR News:
- New submission deadline: February 3, 2017
- Plenary Speakers: Terry Peters, Tien Bui, Andrew Wong
- ICIAR Special Session/Workshop: Machine Learning for Medical Image Computing,
chaired by Alex Wong and Farzad Khalvati
- ICIAR Best paper Award
- Travel grants of $500CAD each for a selected number of overseas students (out of North America)
==============================================================
Conference Chairs:
Fakhri Karray
University of Waterloo, Canada
Aurelio Campilho
University of Porto, Portugal,
Farida Cheriet
Ecole Polytechnique de Montreal, Canada
Plenary Speakers:
Terry Peters
Robarts Research Institute, Western University, London, Canada
Tien Bui
Concordia University, Montreal, Canada
Andrew Wong
University of Waterloo, Canada
ICIAR Special Session/Workshop:
Machine Learning for Medical Image Computing
Workshop Chairs:
Alex Wong, University of Waterloo, Waterloo
Farzad Khalvati, Sunnybrook Research Institute, Toronto
==============================================================
ICIAR 2017 is the 14th of a series of ICIAR conferences organized in Portugal and Canada.
Authors are invited to submit full papers showing original research contributions. The
page limit is 8 pages (1-column - LNCS Springer format), plus 2 extra pages. The sessions
will comprise invited keynote speakers and oral and poster presentations. Authors are
invited to submit full papers under the topics of the conference, addressing original
research developments. The conference proceedings will be published in the Springer LNCS -
Lecture Notes in Computer Science series.
==============================================================
CONFERENCE TOPICS
==============================================================
FOCUS TOPICS
1) Machine Learning in Image Recognition
2) Image and Video Processing and Analysis:
Image restoration and enhancement
Image and video segmentation
Mathematical morphology
Color, texture and motion analysis
3D image analysis
Tracking
Shape and matching
Real time imaging
3) Image and Video Coding:
Still image and video coding;
Image and video encryption
4) Image Retrieval and Indexing:
Image and video databases
Image and video retrieval and indexing
5) Pattern Recognition and Machine Learning Methods:
Feature extraction and selection methods
Classification and Clustering techniques
Ensembles and multi-classifiers
Hybrid methods
Syntactical methods
6) Applications:
Biomedical Imaging
Biometrics
Document Processing
Remote Sensing
Multimedia
Security Systems
Visual Inspection
Sports
Other applications
==============================================================
PAPER SUBMISSION
==============================================================
Authors are invited to submit full papers showing original research contributions. The
conference proceedings is planned to be published in the Springer Lecture Notes in
Computer Science series (Springer LNCS). Only electronic submission will be accepted
through the conference paper submission web page. See the conference web site for
details.
==============================================================
ICIAR Best Paper Award and Student travel Grants
==============================================================
ICIAR 2017 announces a Best Paper Award to a paper presented at the Conference and
selected by a award committee. ICIAR 2017 also announces the availability of a limited
number of student travel grants (STG) of $500 (five hundred Canadian dollars) each, to
support the travel expenses of students from outside North America. The eligibility
criteria for STG are: to be a full-time student; have at least one paper accepted; have
registered and presenting a paper (oral or poster) in the conference.
==============================================================
IMPORTANT DATES
==============================================================
Paper Submission deadline: February 3, 2017
Author Notification: March 1, 2017
Camera-ready version: March 15, 2017
Paper registration: April 7, 2017
Conference: July 5-7, 2017
Please find the call for papers and more information at the conference website:
http://www.aimiconf.org/iciar17
==============================================================
From tarek.besold at googlemail.com Mon Jan 23 04:05:38 2017
From: tarek.besold at googlemail.com (Tarek R. Besold)
Date: Mon, 23 Jan 2017 10:05:38 +0100
Subject: Connectionists: 2nd CfP - CAOS: Cognition and ontologies 2017,
at AISB, UK - Deadline February 15, 2017
Message-ID: <001501d27557$df2da200$9d88e600$@gmail.com>
Below you find the call for papers. Please check out or webpage and also join our Facebook page:
Webpage:
http:// caos.inf.unibz.it
Facebook:
https://www.facebook.com/CognitionAndOntologieS/
We apologise for any cross-posting.
----- 2ndCALL FOR PAPERS -----
AISB CAOS 2017: Cognition And OntologieS 18-21 April, University of Bath, UK
*** DEADLINE Monday 15 February 2017 ALL submissions***
Accepted Submissions:
Short papers: max. 6 pages, 15 minutes presentation
Position papers: max. 6 pages, 15 minutes presentations
Full research papers: max. 12 pages, 30 minutes presentation
(Page number includes references, presentations include Q&A.)
Submission Procedure:
All submissions are to be made via EasyChair:
https://easychair.org/conferences/?conf=caos20170
CAOS 2017 welcomes researchers from all career stages to participate. Work in progress and student projects are also welcome for submission as the primary goal of the workshop is discussion.
All paper must be original and not submitted to or accepted by any other workshop, conference or journal and should follow the template provided by AISB. All accepted papers will be part of the AISB 2017 convention proceedings. All contributions will be peer-reviewed, and the review process will be managed in a collaborative and transparent manner using the EasyChair System. The interdisciplinary nature necessitates an equally mixed program committee.
Important dates:
Submission deadline: 15th February
Notification of acceptance: 1st March
Camera-ready version: 7th March
Scope:
CAOS addresses the difficult and topical question how key cognitive phenomena and concepts (and the involved terminology) that can be found across language, psychology and reasoning, can be formally and ontologically understood, analysed and represented. It moreover seeks answers to ways such formalisations and ontological analysis can be exploited in Artificial Intelligence and information systems in general.
The notion of embodied experience has become increasingly influential in terms of how concepts are thought to develop from a cognitive perspective and also on how concept invention could be formally modelled. In this perspective, several key notions from cognitive science are seen to be important. For example, image schemas are suggested to be conceptual building blocks deriving from the embodied experience, and in turn, in essence they are often seen to model object affordances in the environment. The theory of image schemas has been an influential theory in linguistics (not the least in metaphor research) and in developmental psychology for over twenty years, and has recently been looked at from research in artificial intelligence as a means to approach the symbol grounding problem and natural language understanding. On the other hand, criticism towards the embodied perspective has been brought forward by many proponents of more classical approaches to AI and cognitive modelling, with the discussion still ongoing and the outcome uncertain.
The goal of this workshop is to provide a forum for researchers from a range of perspectives and disciplines who are interested in discussing these questions further. We welcome submissions on topics related to the ontology of hypothesised building blocks of cognition (such as, for instance, image schemas, affordances, and related notions) and of cognitive capacities (such as, for instance, concept invention), as well as system-demonstrations modelling these capacities in application settings.
The topics of interest include, but are not limited to, the following:
Cognitive knowledge representation:
- Modelling cognitive phenomena
- Computational language acquisition
- Formalisation of language, image schemas and/or affordance
Cognition and language:
- Embodied cognition
- Concept invention
- Cognitive development from an ontological perspective
- Image schemas / affordances in natural language
Artificial intelligence and applications:
- AI for language understanding
- Image schemas / affordances in artificial intelligence
- Natural language applications / system-demonstrations
- Embodied approaches to knowledge acquisition in AI and Robotics
- Concept invention and concept-based computational creativity
Symposium Organisers:
- Maria M. Hedblom: Otto-von-Guericke University, Magdeburg, Germany.
- Tarek R. Besold: University of Bremen, Germany
- Oliver Kutz: Free University of Bozen-Bolzano, Italy.
Programme Committee:
- Mihailo Antovi?: Faculty of Philosophy, University of Ni?, Serbia
- John Bateman: Faculty of Linguistics and Literary Studies, University of Bremen, Germany
- Brandon Bennett: School of computing, University of Leeds, UK
- Stephano Borgo: Laboratory for Applied Ontology, ISTC-CNR, Trento, Italy
- Cem Bozsahin: Cognitive Science Department, Informatics Institute, METU, Turkey
- Roberta Ferrario: Laboratory for Applied Ontology, ISTC-CNR, Italy
- Bipin Indurkhya: Computer Science Department at AGH University, Krakow, Poland
- Alessandro Oltramari: Bosch Research and Technology Center, Pittsburgh, US
- Rafael Penaloza Nyssen: KRDB Research Centre for Knowledge and Data, Free University of Bozen-Bolzano, Italy
- Sebastian Rudolph: Faculty of computer science, Technische Universit?t Dresden, Germany
- Marco Schorlemmer: IIIA-CSIC, Bellaterra, Spain
- Gem Stapleton: Computer Science Faculty, University of Brighton, UK
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From kau.subbu at gmail.com Mon Jan 23 05:26:18 2017
From: kau.subbu at gmail.com (Kaushik Subramanian)
Date: Mon, 23 Jan 2017 02:26:18 -0800
Subject: Connectionists: 3rd Call For Papers: Adaptive and Learning Agents
Workshop at AAMAS2017 (Sao Paulo, Brazil)
Message-ID:
Hi Everyone,
We would like to invite submissions for the Autonomous Learning Agents
(ALA) workshop at AAMAS 2017 in Sao Paulo, Brazil in May this year. The
submission deadline is Feb 1st 2017 (a week away). Please find the call for
papers below.
*******************************************************
Adaptive and Learning Agents Workshop at AAMAS2017 (Sao Paulo, Brazil)
http://ala2017.it.nuigalway.ie/
Submission deadline: FEBRUARY 1, 2017
*******************************************************
TL;DR:
* AAMAS workshop with a long and successful history, now in its ninth
edition.
* All aspects of adaptive and learning agents and multi-agent systems
* Open to original research papers, work-in-progress, and visionary outlook
papers, as well as recently published journal papers
* ACM proceedings format up to 8 pages for original research, up to 6 pages
for work-in-progress and outlook papers (shorter papers are also welcome
and will not be judged differently) and 2 pages for recently published
journal papers.
* Accepted papers are eligible for inclusion in a special issue journal
* Submissions through easychair: https://easychair.org/
conferences/?conf=ala2017
*******************************************************
IMPORTANT DATES:
* Submission Deadline: February 1, 2017
* Notification of acceptance: March 2, 2017
* Camera-ready copies: March 17, 2017
* Workshop: May 8-9, 2017
*******************************************************
OVERVIEW
Adaptive and learning agents, particularly those interacting with each
other in a multi-agent setting, are becoming increasingly prominent as the
size and complexity of real-world systems grows. How to adaptively control,
coordinate and optimize such systems is an emerging multidisciplinary
research area at the intersection of Computer Science, Control theory,
Economics, and Biology. The ALA workshop will focus on agent and
multi-agent systems which employ learning or adaptation.
The goal of this workshop is to increase awareness and interest in adaptive
agent research, encourage collaboration and give a representative overview
of current research in the area of adaptive and learning agents and
multi-agent systems. It aims at bringing together not only scientists from
different areas of computer science but also from different fields studying
similar concepts (e.g., game theory, bio-inspired control, mechanism
design).
This workshop will focus on all aspects of adaptive and learning agents and
multi-agent systems with a particular emphasis on how to modify established
learning techniques and/or create new learning paradigms to address the
many challenges presented by complex real-world problems.
The topics of interest include but are not limited to:
* Novel combinations of reinforcement and supervised learning approaches
* Integrated learning approaches that work with other agent reasoning
modules like negotiation, trust models, coordination, etc.
* Supervised multi-agent learning
* Reinforcement learning (single and multi-agent)
* Planning (single and multi-agent)
* Reasoning (single and multi-agent)
* Distributed learning
* Adaptation and learning in dynamic environments
* Evolution of agents in complex environments
* Co-evolution of agents in a multi-agent setting
* Cooperative exploration and learning to cooperate and collaborate
* Learning trust and reputation
* Communication restrictions and their impact on multi-agent coordination
* Design of reward structure and fitness measures for coordination
* Scaling learning techniques to large systems of learning and adaptive
agents
* Emergent behavior in adaptive multi-agent systems
* Game theoretical analysis of adaptive multi-agent systems
* Neuro-control in multi-agent systems
* Bio-inspired multi-agent systems
* Applications of adaptive and learning agents and multi-agent systems to
real world complex systems
*******************************************************
SUBMISSION DETAILS
Papers can be submitted through EasyChair: https://easychair.org/
conferences/?conf=ala2017
We invite submission of original work, up to 8 pages in length in the ACM
proceedings format (i.e. following the AAMAS formatting instructions). This
includes work that has been accepted as poster only at AAMAS 2017.
Additionally, we welcome submission of preliminary results, i.e.
work-in-progress, as well as visionary outlook papers that lay out
directions for future research in a specific area, both up to 6 pages in
length, although shorter papers are very much welcome, and will not be
judged differently. Finally, we also accept recently published journal
papers in the form of a 2 page abstract.
All submissions will be peer-reviewed (single-blind). The most "visionary?
paper will be published by Springer in a book under the Lecture Notes in
Artificial Intelligence (LNAI) - Hot Topics series. The book will be a
compilation of the most visionary papers of the AAMAS-2017 Workshops, where
one paper will be selected from each AAMAS-2017 workshop. Additionally, a
"best paper" will be published by Springer in a book under the
Communications in Computer and Information Science (CCIS) series. The book
will be a compilation of the best papers of the AAMAS-2017 Workshops, where
one paper will be selected from each AAMAS-2017 workshop. Authors of the
selected most visionary paper and the best paper are expected to provide
their latex files promptly upon request.
Accepted work will be allocated time for poster and possibly oral
presentation during the workshop. Papers accepted at the workshop will also
be eligible for inclusion in a special issue published after the workshop.
We look forward to your submissions,
Organizers:
Tim Brys (Vrije Universiteit Brussel, BE)
Anna Harutyunyan (Vrije Universiteit Brussel, BE)
Patrick Mannion (National University of Ireland Galway, IE)
Kaushik Subramanian (Georgia Institute of Technology, USA)
Senior Steering Committee Members:
Enda Howley (National University of Ireland Galway, IE)
Daniel Kudenko (University of York, UK)
Ann Now? (Vrije Universiteit Brussel, BE)
Sandip Sen (University of Tulsa, USA)
Peter Stone (University of Texas at Austin, USA)
Matthew Taylor (Washington State University, USA)
Kagan Tumer (Oregon State University, USA)
Karl Tuyls (University of Liverpool, UK)
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From iccv17publicity at gmail.com Mon Jan 23 12:44:24 2017
From: iccv17publicity at gmail.com (Ali Shokoufandeh)
Date: Mon, 23 Jan 2017 12:44:24 -0500
Subject: Connectionists: [CfP]:: International Conference on Computer Vision
(ICCV 2017)
Message-ID:
*Call for Papers*
*ICCV 2017*
International Conference on Computer Vision
October 22-29, 2017
*Venice, Italy*
http://iccv2017.thecvf.com/
Deadline for paper submission:
Friday, March 17, 2017
Submissions are solicited for the 16th International Conference on Computer
Vision (ICCV 2017), to be held in Venice, Italy, in October 2017.
Papers in the main technical program must describe high-quality, original
research. Topics of interest include all aspects of computer vision and
pattern recognition including, but not limited to
? 3D Computer Vision
? Action Recognition
? Big data and Large Scale Methods
? Biometrics, face and gesture
? Biomedical image analysis
? Computational photography, photometry, shape from X
? Deep Learning
? Low-level vision and Image Processing
? Motion and Tracking
? Optimization methods
? Recognition: detection, categorization, indexing and matching
? Robot Vision
? Segmentation, grouping and shape representation
? Statistical learning
? Video: events, activities and surveillance
? Vision for X
All submissions will be handled electronically.
In addition to the main technical program, the conference will include
Tutorials, Workshops, Demonstrations, and Exhibits. Submit proposals to the
appropriate chair.
Please refer to the conference website http://iccv2017.thecvf.com/ for
submission instructions.
*Important dates:*
? Paper registration deadline: March 10, 2017 (23:59
GMT)
? Paper submission deadline: March 17, 2017 (23:59
GMT)
? Supplementary material submission: March 27, 2017 (23:59 GMT)
? Final decision notification: July 17, 2017
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From Nicolas.Rougier at inria.fr Mon Jan 23 13:10:06 2017
From: Nicolas.Rougier at inria.fr (Nicolas P. Rougier)
Date: Mon, 23 Jan 2017 19:10:06 +0100
Subject: Connectionists: New replications in ReScience
Message-ID:
Dear all,
It's my great pleasure to announce that the following articles:
* How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks
J. Rombouts, M. Bohte and P. Roelfsema (2015)
PLoS Computational Biology 11.3, e1004060. DOI: 10.1371/journal.pcbi.1004060
* Ionic Current Model of a Hypoglossal Motoneuron
Purvis LK., Butera RJ., (2005)
Journal of Neurophysiology, 93, 723?733
have been successfully replicated in ReScience:
* [Re] How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks
Erwan Le Masson & Fr?d?ric Alexandre, ReScience, volume 2, issue 1, 2016.
* [Re] Ionic Current Model of a Hypoglossal Motoneuron
Aaron Shifman, ReScience, volume 3, issue 1, 2017.
You can read more at http://rescience.github.io/read.
Nicolas P. Rougier
---
To submit a replication: http://rescience.github.io/write/
To suggest a replication: https://github.com/ReScience/call-for-replication
From horacio at njit.edu Tue Jan 24 00:49:48 2017
From: horacio at njit.edu (Horacio G. Rotstein)
Date: Tue, 24 Jan 2017 00:49:48 -0500
Subject: Connectionists: SMB Mathematical Neuroscience: Goals,
plans and membership
Message-ID:
Dear Colleagues
We are very happy to share with you the news of the
creation of the *Mathematical Neuroscience sub-group within the Society for
Mathematical Biology (SMB)*. Thanks to all of you who supported this
initiative by signing the petition.
We envision this group to play an important role in identifying future
grand challenges and collectively solving new problems.
*Primary Goals and grand plans*
- to provide a forum for the promotion and advancement of
interdisciplinary research and dissemination of knowledge in mathematical,
computational and theoretical neuroscience.
- to promote the interaction between theoretical and experimental
neuroscientists.
- to promote education and outreach in all topics related to
mathematical neuroscience.
- to organize sub-group meetings at future SMB annual meetings. The next
two will take place in Sydney (Australia) in 2018 and Montreal (Quebec,
Canada) in 2019.
- To advertise and contribute to mathematical neuroscience events of
interest to the community, such us the upcoming International Conference in
Mathematical Neuroscience in Boulder, CO (May 30 - June 2, 2017). [
https://www.math.uh.edu/~zpkilpat/icmns2017/
]
- To advertise the Journal of Mathematical Neuroscience (JMN) as a
natural society/sub-group journal that is complementary to the Bulletin of
Mathematical Biology. [http://mathematical-neuroscience.springeropen.com]
- To encourage the dissemination of sub-group meetings though special
issues of the JMN (using guest editors).
- To raise the profile of this growing field in the wider community.
*Membership*
SMB and ESMTB members are invited to join SMB MathNeuro (joint
membership is not required).
- The initial membership of the Mathematical Neuroscience subgroup are
all SMB members who have supported the petition. If you belong to this
group you don't have to do anything.
- SMB or ESMTB members who would like to join SMB MathNeuro are asked to
fill out the information in the google form linked below. (SMB members and
SMB - ESMTB members enjoy reduced registration costs to the SMB annual
meeting.)
- Non SMB or ESMTB members are encouraged to join the SMB or SMB - ESMTB
and become MathNeuro members
*Form*
https://docs.google.com/forms/d/e/1FAIpQLScAx0znBLYmDb2Cwkca
nIq9cq5HhZJT9fCpcvNcql44T2SUXw/viewform
--
Horacio, NY/NJ area.
"Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish
expression)
Horacio G. Rotstein
Professor
Department of Mathematical Sciences
New Jersey Institute of Technology
Newark, NJ, 07102, USA.
Graduate Faculty
Behavioral Neuroscience Program
Rutgers University (NWK) and
Federated Department of Biological Sciences
Rutgers / NJIT
tel: (1-973) 596-5306
e-mail: horacio at njit.edu
horacior at andromeda.rutgers.edu
http://web.njit.edu/~horacio
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From Sharon.Crook at asu.edu Mon Jan 23 17:41:01 2017
From: Sharon.Crook at asu.edu (Sharon Crook)
Date: Mon, 23 Jan 2017 22:41:01 +0000
Subject: Connectionists: CNS*2017 Antwerp, Belgium Call for Abstracts
In-Reply-To:
References: ,
Message-ID:
CNS*2017 Call for Abstracts
Organization for Computational Neurosciences (OCNS)
26th Annual Meeting
Antwerp, Belgium
July 15-20, 2017
The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20).
Invited Keynote Speakers:
Erik De Schutter, Okinawa Institute of Science and Technology, Japan
Panayiota Poirazi, IMBB-Forth, Greece
Karl Friston, University College London, UK
Sue Denham, University of Plymouth, UK
Registration and abstract submission are open.
Abstract submission deadline: March 5th, 2017
Workshop proposals are now being accepted.
Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded.
For up-to-date conference information, please visit:
http://www.cnsorg.org/meetings
From cruz at informatik.uni-hamburg.de Tue Jan 24 07:42:47 2017
From: cruz at informatik.uni-hamburg.de (Francisco Cruz)
Date: Tue, 24 Jan 2017 13:42:47 +0100
Subject: Connectionists: [journals] Special Issue on Bio-inspired Social
Robot Learning in Home Scenarios *deadline approaching*
Message-ID: <86224184-c7ab-fa16-847e-aebbf9660af9@informatik.uni-hamburg.de>
IEEE Transactions on Cognitive and Developmental Systems
Special Issue on Bio-inspired Social Robot Learning in Home Scenarios
http://www.informatik.uni-hamburg.de/wtm/SocialRobotsWorkshop2016/CFP_TCDS_SI_SocialRobots.pdf
*Call for papers*
There has been considerable progress in robotics in the last years
allowing robots to successfully contribute to our society. We can find
them from industrial environments, where they are nowadays established,
to domestic places, where their presence is steadily rising. The
proposed special issue intends to explore the following question: ?How
well prepared are learning robots to be social actors in daily-life home
environments in the near future?.
The special issue is therefore not only an opportunity to address this
focuses on the latest scientific contributions on bio-inspired learning
and social robotics, but also links them with a clear focus to push the
presence of robots in people?s daily-life environment. Thus, one main
goal of the special issue is offering a common foundation for
roboticists from different fields of expertise to contribute beyond the
current state-of-the-art of learning methods in robotics especially
applied to home scenarios and recent developments in assistive robots.
The subjects of the special issue include, but are not limited to:
- Interactive reinforcement learning.
- Policy and reward shaping.
- Neural learning of object affordances and contextual affordances.
- Predictive learning from sensorimotor information.
- Learning understanding of environment ambiguity.
- Learning with hierarchical and deep neural architectures.
- Bootstrapping complex action learning in robots.
- Learning supported by external trainers, by demonstration and imitation.
- Parental scaffolding as a bootstrapping method for learning.
*Submissions*
The special issue is open for all submissions which will be
independently peer-reviewed in accordance with IEEE policy. Manuscripts
should be prepared according to the ?Information for Authors? of the
journal, found at http://cis.ieee.org/publications.html, and submitted
through the IEEE TCDS Manuscript center under the category: "SI: Social
Robots": https://mc.manuscriptcentral.com/tcds-ieee. Papers submitted
must not have been published previously, though they may represent
significant extensions of prior work.
*Important dates*
31 January 2017 - Deadline for manuscript submission.
15 April 2017 - Notification of authors.
15 May 2017 - Deadline for revised manuscripts.
15 June 2017 - Final decisions.
For further information, please contact one of the following guest
editors in this order:
Francisco Cruz
Knowledge Technology Institute, University of Hamburg, Germany
cruz at informatik.uni-hamburg.de
Jimmy Baraglia
Emergent Robotics Laboratory, Osaka University, Japan
jimmy.baraglia at ams.eng.osaka-u.ac.jp
Yukie Nagai
Emergent Robotics Laboratory, Osaka University, Japan
yukie at ams.eng.osaka-u.ac.jp
Stefan Wermter
Knowledge Technology Institute, University of Hamburg, Germany
wermter at informatik.uni-hamburg.de
Francisco Cruz
Research Associate
Knowledge Technology Group
Department of Informatics
University of Hamburg
Vogt-K?lln-Str. 30
22527 Hamburg, Germany
Office F-217
Phone: +49 40 42883 2524
http://www.knowledge-technology.info
From M.Gillies at gold.ac.uk Wed Jan 25 06:59:35 2017
From: M.Gillies at gold.ac.uk (Marco Gillies)
Date: Wed, 25 Jan 2017 11:59:35 +0000
Subject: Connectionists: MOCO 2017 2nd Call for Doctoral Symposium Papers
In-Reply-To: <56CA765E-9020-48CC-8BC0-B94F88FA4749@campus.goldsmiths.ac.uk>
References: <56CA765E-9020-48CC-8BC0-B94F88FA4749@campus.goldsmiths.ac.uk>
Message-ID:
MOCO 2017 2nd Call for Doctoral Symposium Papers
International Conference on Movement and Computing (MOCO17)
> Intersecting Art, Meaning, Cognition, Technology
28-30th June, London UK
Goldsmiths University of London
http://moco17.movementcomputing.org
We would like to invite submissions for doctoral papers for the 4th International Conference on Movement and Computing (MOCO) which is to be held in London.
Doctoral papers are an opportunity for students to present their work in progress on their doctorate and receive feedback from experts in the field. Papers will have an oral presentation in a dedicated doctoral symposium and a poster presentation at the main conference. We encourage students to submit a paper even if they are early in their doctoral work.
MOCO is an interdisciplinary conference that explores the use of computational technology to support and understand human movement practice (e.g. computational analysis), as well as movement as a means of interacting with computers (e.g. movement interfaces).
This requires a wide range of computational tasks including modeling, representation, segmentation, recognition, classification, or generation of movement information but also an interdisciplinary understanding of movement that ranges from biomechanics to embodied cognition and the phenomenology of bodily experience.
We therefore invite submissions from a wide range of disciplines including (but not limited to): Human-Computer Interaction, Psychology, Dance, Artificial Intelligence, Neuroscience, Sports Science, Machine Learning, Cognitive Science, Visual Arts, Robotics, Philosophy, Anthropology, Music, Affective Computing, Games, Healthcare and Animation.
Submission
Submissions will be by a short paper (4 pages maximum), and supporting media (video, sound or images) which will give details of the practical and technical requirements for putting on the work (this is very important to ensure that we can accommodate the work within the resources of our conference).
All submissions should be in pdf format and should use the ACM proceedings format (Please use the SigConf template):
http://www.acm.org/publications/article-templates/proceedings-template.html/
Online submission: All submissions must be made through EasyChair
https://easychair.org/conferences/?conf=moco2017
All submissions must be anonymous and will be peer-reviewed. The MOCO proceedings will be indexed and published in the ACM digital library.
Important Dates
Submission deadline: 1st March 2017
Notification: 30 March 2017
Camera ready papers: 30 April 2017
Contact
If you have any questions please contact us on moco2017 at easychair.org
Committee
Conference Chair
Marco Gillies, Goldsmiths
Organising Committee
Kirk Woolford, University of Surrey
Sarah Whatley, Coventry University
Adam Parkinson, Goldsmiths
Frederic Fol Leymarie, Goldsmiths
Phoenix Perry, Goldsmiths
Simon Katan, Goldsmiths
Perla Maiolino, Goldsmiths
Local organisers
Kiona Niehaus, Goldsmiths
Nicky Donald, Goldsmiths
Phoenix Fry, Goldsmiths
Steering Committee
Fr?d?ric Bevilacqua, IRCAM
Sarah Fdili Alaoui, LRI-Universit? Paris-Sud 11
Jules Fran?oise, Simon Fraser University
Philippe Pasquier, Simon Fraser University
Thecla Schiphorst, Simon Fraser University
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From erdi.peter at wigner.mta.hu Wed Jan 25 10:21:36 2017
From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=)
Date: Wed, 25 Jan 2017 16:21:36 +0100 (CET)
Subject: Connectionists: Cognitive Systems Research Vol 41 (March 2017)
Message-ID:
Cognitive Systems Research
Volume 41, Pages 1-144 (March 2017)
Autonomous construction and exploitation of a spatial memory by a
self-motivated agent
Pages 1-35
Simon L. Gay, Alain Mille, Olivier L. Georgeon, Alain Dutech
Programming a Cognitive Architecture with Simulated Neurons, Chris
Eliasmith. How to Build a Brain: A Neural Architecture for Biological
Cognition. Oxford University Press, Oxford (2013). 456 pp., ISBN:
978-0-19-026212-9
Pages 36-37 (Book review)
Christian Huyck
Value systems for developmental cognitive robotics: A survey
Pages 38-55
Kathryn Merrick
Reasoning from imperfect knowledge
Pages 56-72
Stephen K. Reed, Adam Pease
How are religious concepts created? A form of cognition and its effects
Pages 73-83
Zenko Takayama
Pinning down polysemy: A formalisation for a Brazilian Portuguese
preposition
Pages 84-92
Edilson Rodrigues, Paulo E. Santos, Marcos Lopes
Skepticism revisited: Chalmers on??The Matrix??and brains-in-vats
Pages 93-98
Richard Hanley
A framework for the multimodal joint work of turn construction in
face-to-face interaction
Pages 99-115
Cacilda Vilela, Joao Ranhl
Philosophical foundations of partial belief models
Pages 116-129
Andre Bazzoni
Assessment of fun in interactive systems: A survey
Pages 130-143
Luiz Carlos Vieira, Flavio Soares Correa da Silva
From mtista at gmail.com Wed Jan 25 11:26:20 2017
From: mtista at gmail.com (Massimo Tistarelli)
Date: Wed, 25 Jan 2017 17:26:20 +0100
Subject: Connectionists: Call for Applications: 14th Int.l Summer School on
Biometrics and Forensics 2017
In-Reply-To:
References:
Message-ID: <9bd0ae4d-3dff-0582-7998-5ac7bf6b7db0@gmail.com>
?? Please accept our sincere apologies for receiving multiple copies of
this announcement ??
*14^th IAPR/Eurasip Int.l Summer School for Advanced Studies on******
Biometrics for Secure Authentication:***
*BIOMETRICS FOR PERSONALIZATION AND FORENSIC IDENTIFICATION*
*Alghero,****Italy - June, 12-16 2017*
/Technically co-sponsored by the IEEE Biometrics Council/
Contact: tista at uniss.ithttp://biometrics.uniss.it
*APPLICATION DEADLINE:* February 15th2017
(download the application form at: http://biometrics.uniss.it)
_**_
From the early days, when security was the driving force behind
biometric research, today?s challenges go far beyond security. Other
applications, such as personalization of services, mobile computing and
criminal investigations, are among the most promising applications.
Machine learning, Image understanding, Signal analysis, Neuroscience,
Forensic science, Digital forensics and other disciplines, converged in
a truly multidisciplinary effort to devise and build advanced systems to
facilitate the interpretation of signals recorded from individuals
acting in a given environment. This is what we simply call today
?Biometrics?.
*For the last fourteen years, the International Summer School on
Biometrics has been closely following the developments in science and
technology to offer a cutting edge, intensive training course, always up
to date with the current state-of-the-art.*
What are the most up-to-date core biometric technologies developed in
the field? What is the potential impact of biometrics in forensic
investigation and crime prevention? How can biometrics provide means for
efficient and automatic personalization of services? What can we learn
from human perception? What does it involve to integrate a biometric
recognition system?
This school follows the successful track of the International Summer
Schools on Biometrics held since 2003. In this 14^th edition, the
courses will mainly focus on new and emerging issues:**
?*How Biometrics will drive the automatic personalization of services;*
?*How to exploit new biometric technologies in forensic and security
applications;*
?*Standardization, evaluation and assessment of biometric and forensic
applications.*
?*Biometrics, Forensic identification and advanced research: What is next?*
The courses will provide a clear and in-depth picture on the
state-of-the-art in biometric verification/identification technology,
both under the theoretical and scientific point of view as well as in
diverse application domains. The lectures will be given by 18
outstanding experts in the field, from both academia and industry. *An
advanced feature of this summer school will be some practical sessions
to better understand, ?hands on?, the real potential of today?s
biometric technologies.*
*_Participant application_*
The school will be open to about 50 highly qualified, motivated and
pre-selected applicants. Phd students, post-docs, researchers, forensic
examiners, police officers and professionals are encouraged to apply.
The expected school fees will be in the order of 1,500 ? for Phd
students and 2,000 ? for others (subject to change). The fees will
include full board accommodation, all courses and handling material. *A
limited number of scholarships, covering a portion of the fees, will be
awarded to Phd students*, selected on the basis of their scientific
background and on-going research work. Precedence will be given to
members of the EU H2020 IDENTITY consortium, and active members of IAPR
and IEEE. The scholarship request form can be downloaded from the school
web site */http://biometrics.uniss.it/*.
Phd students, researchers and post-docs are encouraged to submit a short
paper (6 pages maximum) for an oral presentation on their recent
research activity. Poster boards will be also available to all
participants to display their current research advances.
Send a filled application form (download from
http://biometrics.uniss.it)//together
with a short curriculum vitae to:**
*Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com**__*
*_Advance pre-registration is strictly required by February 15^th _**_2017_*
*_School location_*
The school will be hosted by HotelEl
Faro(*/http://www.elfarohotel.it//*) in the Capo Caccia bay, near
Alghero, Sardinia. This is one of the most beautiful resorts in the
Mediterranean sea. The property is beautifully immersed into the Capo
Caccia bay. The hotel El Faro has a recently renovated conference
center, fully equipped for scientific events. The school venue, as well
as the surroundings, proved to be a perfect environment for the school
activities.
*_School Committee:_***
*Massimo Tistarelli*
Computer Vision Laboratory ? University of Sassari, Italy
*Josef Bigun *
Department of Computer Science ? Halmstad University, Sweden
*Enrico Grosso*
Computer Vision Laboratory ? University of Sassari, Italy
*Anil K. Jain*
Biometrics laboratori ? Michigan State University, USA
**
*_Distinguished lecturers from past school editions
_*
*Josef **Bigun*
Halmstad University ? Sweden**
*Aldo Mattei*
Arma dei Carabinieri ? Italy**
*Thirimachos Bourlai*
West Virginia University ? USA
*David Meuwly*
Netherlands Forensic Institute ? NL**
*Vincent Bouatou*
Safran Morpho ? France
*Emilio Mordini MD*
Responsible Technologies ? Italy**
*Deepak Chandra *
Google Inc. ? USA**
*Mark Nixon*
University of Southampton ? UK**
*Rama Chellappa*
University of Maryland ? USA**
*Alice O?Toole*
University of Texas ? USA**
*Farzin Deravi*
University of Kent ? UK**
*Maja Pantic*
Imperial College ? UK**
*Andrzej Drygajlo*
EPFL ? Switzerland
*Jonhaton Phillips*
NIST ? USA**
*James Haxby*
Dartmouth University ? USA**
*Arun Ross*
Michigan State University ? USA**
*Anil K. Jain*
Michigan State University ? USA**
*Tieniu Tan *
CASIA-NLPR ? China**
*Joseph Kittler*
University of Surrey ? UK**
*Massimo Tistarelli*
Universit? di Sassari ? Italy**
*Davide Maltoni*
Universit? di Bologna ? Italy**
*Alessandro Verri*
Universit? di Genova ? Italy**
*John Mason*
Swansea University? UK**
*James Wayman*
University of San Jos? ? USA
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From john.murray at yale.edu Thu Jan 26 23:48:28 2017
From: john.murray at yale.edu (Murray, John)
Date: Fri, 27 Jan 2017 04:48:28 +0000
Subject: Connectionists: Computational & Cognitive Neuroscience Summer
School, in Shanghai
Message-ID: <27F9FB09-256E-49B3-9EA9-FC3BB0CE1E08@yale.edu>
We are pleased to announce the 7th Computational and Cognitive Neuroscience (CCN) Summer School which will take place July 9-27, 2017, on the campus of NYU-Shanghai in Shanghai, China.
Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and other countries in the world. Applicants with quantitative (including Physics, Mathematics, Engineering and Computer Science) or experimental background are welcomed. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation, microcircuits and large-scale systems, to normative theoretical approach. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods.
Course information is available on the CCN official website: http://www.ccnss.org
Applications are being accepted now through the NYU-Shanghai website: https://research.shanghai.nyu.edu/centers-and-institutes/brain/ccnss-2017-application-instructions
The application deadline is March 15, 2017.
Organizers:
- Xiao-Jing Wang (New York University)
- Zach Mainen (Champalimaud Neuroscience Program)
- Si Wu (Beijing Normal University)
- John D. Murray (Yale University)
- Eric DeWitt (Champalimaud Neuroscience Program)
2017 Lecturers:
- Daphne Bavelier (University of Geneva)
- Timothy Behrens (University of Oxford)
- Matthew Botvinick (Google DeepMind)
- Michael Breakspear (University of Queensland)
- Robert Desimone (Massachusetts Institute of Technology)
- Jeff Erlich (NYU Shanghai)
- Stefano Fusi (Columbia University)
- Surya Ganguli (Stanford University)
- Michael Hausser (University College London)
- Nikolaus Kriegeskorte (MRC Cognition and Brain Sciences Unit)
- Yann LeCun (New York University & Facebook AI Research)
- Sukbin Lim (NYU Shanghai)
- Alex Pouget (University of Geneva)
- Matthew Rushworth (University of Oxford)
Feel free to direct any questions to: john.murray at yale.edu
John D. Murray
-----------------------------------------------
Assistant Professor
Department of Psychiatry
Yale University School of Medicine
murraylab.yale.edu
-----------------------------------------------
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From yulia.sandamirskaya at ini.rub.de Thu Jan 26 17:39:33 2017
From: yulia.sandamirskaya at ini.rub.de (Yulia Sandamirskaya)
Date: Thu, 26 Jan 2017 23:39:33 +0100
Subject: Connectionists: Misha Mahowald Prize for Neuromorphic Enginnering
Message-ID:
CALL FOR SUBMISSIONS (LAST REMINDER):
The Second Misha Mahowald Prize for Neuromorphic Engineering.
The Misha Mahowald Prize recognizes outstanding research in neuromorphic engineering in a broad sense: neurally-inspired hardware, but also neuromorphic software, algorithms, and architectures can compete for the award. The award is named for Misha Mahowald, a creative and influential pioneer, who passed away before she could see the field flourishing. She created some of the first neuromorphic circuits including the silicon retina and the silicon neuron.
The Prize is awarded by a jury of international experts and carries a cash prize of USD 3000.
The inaugural prize was awarded in 2016 to IBM Research for their ground-breaking project on the neuromorphic processor TrueNorth.
The competition is open to any individual or research group worldwide. A description of any type of neurally-inspired hardware, software, or algorithm may be submitted. The award is for an original, ground-breaking contribution to neuromorphic engineering. The work of individuals and groups will be considered equally. Only one winner is announced each year. There are no runners-up. Revised resubmissions are encouraged.
To apply:
Send an extended abstract in English of up to two DIN A4 pages, containing:
? Applicant(s) and affiliation(s)
? Contact person information
? Project title
? Brief description of the work, its novelty, and its potential impact, including images/tables/original paper links
? Link to a video, if applicable (authors must arrange for unrestricted online viewing of video)
Send the document as a PDF file (max. size 2 MB) to
prize at mahowaldprize.org
If a video is included in the submission, a download link to the original source file should be included.
The submission deadline is February 1, 2017.
2017 Jury:
? Prof. Dr. Steve Furber, University of Manchester
? Dr. Dan Hammerstrom, DARPA
? Prof. Dr. Christof Koch, CSO, Allen Institute for Brain Science
? Dr. Dharmendra Modha, IBM Research - Almaden
? Dr. Eric Ryu, Master, Samsung Electronics
? Prof. Dr. Terrence Sejnowski, Salk Institute (head of the Jury)
The Prize is sponsored by iniLabs, a technology company based in Switzerland that invents, produces, and sells neuromorphic technologies for research. iniLabs plays no role in selecting the nominee.
?
Dr. Yulia Sandamirskaya
Neuroscience Center Zurich (ZNZ)
Institute of Neuroinformatics
University and ETH Zurich
Winterthurerstrasse 190, 8057 Zurich
E-mail: yulia.sandamirskaya at ini.