From mail at mkaiser.de  Mon Dec  2 09:52:58 2013
From: mail at mkaiser.de (Marcus Kaiser)
Date: Mon, 2 Dec 2013 14:52:58 +0000
Subject: Connectionists: Wellcome Trust 4-year PhD programme 'Systems
 Neuroscience: From Networks to Behaviour'
Message-ID: <CAJZ15w5Pmkp9WsAC1UeBmksX34gYEnTC1i+=T=-mZ=ZXjLKJsA@mail.gmail.com>

Dear all,


 our Wellcome Trust 4-year PhD programme in systems neuroscience, aimed at
applicants from the physical sciences (physics, engineering, mathematics,
or computer science), is now accepting applications for studentships
starting in September 2014 (see below). Research areas include
Neuroinformatics, Computational Neuroscience, Neuroimaging (fMRI, DTI, EEG,
ECoG in rodents, non-human primates, and humans), Brain Connectivity,
Clinical Neuroscience, Behaviour and Evolution, and Brain Dynamics
(simulations and time series analysis). Strong interactions between
clinical, experimental, and computational researchers are a key component
of this programme.


Best,

   Marcus

*Wellcome Trust 4-year PhD programme 'Systems Neuroscience: From Networks
to Behaviour'*
Programme Directors: Prof. Stuart Baker, Prof. Tim Griffiths, and Dr Marcus
Kaiser
The Institute of Neuroscience at Newcastle University integrates more than
100 principal investigators across medicine, psychology, computer science,
and engineering. Research in systems, cellular, computational, and
behavioural neuroscience. Laboratory facilities include auditory and visual
psychophysics; rodent, monkey, and human neuroimaging (EEG, fMRI, PET);
TMS; optical recording, multi-electrode neurophysiology, confocal and
fluorescence imaging, high-throughput computing and e-science, artificial
sensory-motor devices, clinical testing, and the only brain bank for
molecular changes in human brain development.

The Wellcome Trust's Four-year PhD Programmes are a flagship scheme aimed
at supporting the most promising students to undertake in-depth
postgraduate research training. The first year combines taught courses with
three laboratory rotations to broaden students' knowledge of the subject
area. At the end of the first year, students will make an informed choice
of their three-year PhD research project.

This programme is based at Newcastle University and is aimed to provide
specialised training for physical and computational scientists (e.g.
physics, chemistry, engineering, mathematics, and computer science) wishing
to apply their skills to a research neuroscience career.

Eligibility/Person Specification: Applicants should have, or expect to
obtain, a 1st or 2:1 degree, or equivalent, in a physical sciences,
engineering, mathematics or computing degree.

Value of the award: Support includes a stipend for 4 years (?20k/yr
tax-free), PhD registration fees at UK/EU student rate, research expenses,
general training funds and some travel costs.

How to apply: You must apply through the University's online postgraduate
application form (*http://www.ncl.ac.uk/postgraduate/funding/search/list/in065
<http://www.ncl.ac.uk/postgraduate/funding/search/list/in065>*   )
inserting the reference number IN065 and selecting 'Master of
Research/Doctor of Philosophy (Medical Sciences) - Neuroscience' as the
programme of study. Only mandatory fields need to be completed (no personal
statement required) and a covering letter, CV and (if English is not your
first language) a copy of your English language qualifications must be
attached. The covering letter must state the title of the studentship,
quote the reference number IN065 and state how your interests and
experience relate to the programme.

The deadline for receiving applications is 15 January 2014.

You should also send your covering letter and CV to Helen Stewart,
Postgraduate Secretary, Institute of Neuroscience, Henry Wellcome Building,
Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2
4HH, or by email to *ion-postgrad-enq at ncl.ac.uk
<ion-postgrad-enq at ncl.ac.uk>* .

For more information, see *http://www.ncl.ac.uk/ion/study/wellcome/
<http://www.ncl.ac.uk/ion/study/wellcome/>*



--

Marcus Kaiser, Ph.D.
Associate Professor (Reader) in Neuroinformatics
School of Computing Science
Newcastle University
Claremont Tower
Newcastle upon Tyne NE1 7RU, UK

Lab website:
http://www.biological-networks.org/

Neuroinformatics at Newcastle:
http://research.ncl.ac.uk/neuroinformatics/
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From jutta.kretzberg at uni-oldenburg.de  Mon Dec  2 02:18:31 2013
From: jutta.kretzberg at uni-oldenburg.de (Jutta Kretzberg)
Date: Mon, 02 Dec 2013 08:18:31 +0100
Subject: Connectionists: Post-doc with focus on statistical learning for
 analysis of speech coding in the human brain
Message-ID: <529C3447.4090702@uni-oldenburg.de>

The Department of Applied Neurocognitive Psychology at Oldenburg 
University, Germany, offers a


        Post-doctoral position (salary level E13 TVL, 3 years)

with a focus on signal processing / statistical learning for analysis of 
speech coding in the human brain.

The position is linked to the collaborative research center "The Active 
Auditory System" SFB-TR 31. The research center aims to characterize and 
model mechanism of auditory object formation and scene analysis by 
combining psychophysical, neurophysiological, and quantitative 
modelling. It complements the Excellence Cluster "Hearing 4 All" which 
was recently awarded to the University of Oldenburg. The combined effort 
of these centers will establish a strong link between neurophysiological 
models of auditory object representation and subjective perception.

The post-doctoral position is situated in a project that applies 
statistical learning methods to human intracranial recordings (ECoG) and 
fMRI to derive and test quantitative statistical models of speech coding 
in the human brain. The experiments are performed in a highly 
interdisciplinary lab environment and in close collaboration with the 
University of California Berkeley and Stanford University.

The quantitative nature of the research project will require highly 
motivated candidates with strong quantitative and experimental skills. 
Successful candidates will perform cutting edge research and should have 
a background in one or more of the following fields: signal processing, 
statistical learning, brain-machine-interfacing, non-invasive or 
invasive human neurophysiology of the auditory system. Applicants must 
have an academic university degree (Master or equivalent) and a PhD (or 
equivalent).

Successful candidates will work in an interdisciplinary network with 
opportunities for international exchange.

The post-doctoral position is initially limited to three years, with an 
option for extension, and can be split.

Applications should include your CV, a list of most recent publications, 
two recommendation letters, and a research statement (max. 3 pages). The 
University of Oldenburg is an equal opportunity employer. The University 
of Oldenburg is dedicated to increasing the percentage of women in 
science. Therefore, equally qualified female candidates will be given 
preference. Applicants with disabilities will be preferentially 
considered in case of equal qualification.

Please send inquiries and electronic applications per email (preferred) 
to Professor Dr. Jochem Rieger: Jochem.rieger(at)uni-oldenburg.de 
<mailto:Jochem.rieger at uni-oldenburg.de>

or paper applications per regular mail to:

Margrit Jung
Dept. of Applied Neurocognitive Psychology
Institute of Psychology
Oldenburg University
26111 Oldenburg
Germany

Application deadline is December 16th, 2013.

-- 
Prof. Dr. rer. nat. Jochem Rieger
Director, Institute of Psychology

Head of Applied Neurocognitive | Knight Lab
Psychology                     | Helen Wills Neuroscience Institute
Faculty VI                     | University of California
Carl-von-Ossietzky University  | 132 Barker Hall
26111 Oldenburg                | Berkeley, CA 94720-3192
Germany                        | USA

Phone: +49(0)4417984533
Fax:   +49(0)4417983865


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From retienne at jhu.edu  Wed Dec  4 08:44:38 2013
From: retienne at jhu.edu (retienne)
Date: Wed, 04 Dec 2013 08:44:38 -0500
Subject: Connectionists: 2014 Telluride Workshop: CALL FOR TOPIC AREA
 PROPOSALS: Deadline December 20th
Message-ID: <529F31C6.1020908@jhu.edu>

**


  Telluride Neuromorphic Cognition Engineering Workshop :: Call for
  Topic Area Proposals


*Call for Topic Area Proposals*

*2014 Neuromorphic Cognition Engineering Workshop*

/Telluride, Colorado, June 29 -July 19, 2014/

We are now accepting proposals for Topic Areas in the 2014 Telluride 
Neuromorphic Cognition Engineering Workshop. We support topics and 
projects in neuromorphic cognition, particularly those that involve 
solving challenging 'everyday' tasks that incorporate domain-specific 
knowledge, exploration, prediction, and problem solving. In particular, 
we are interested in projects that hold promise for addressing Grand 
Challenge types of problems that do not have strong solutions of any 
form, neuromorphic or not. These Challenge problems should feature 
long-duration sensorimotor problems that involve autonomous cognitive 
decision making. Examples might include tasks such as learning a new 
language, navigating through an unknown environment to locate an object 
or reach a desired location, adaptively manipulating unknown or complex 
objects in the service of a task, playing a game requiring inference of 
hidden information or long-term planning and learning, etc. Proposals 
related to hardware technologies that aim to bring these capabilities to 
reality are also encouraged. Topic proposals that aim to solve a 
particular problem using the multidisciplinary experience of 
participants will be favored over topics that simply gather a large 
number of people working within a discipline, or using a single 
technology, or approach.

Topic areas for this summer's Telluride Neuromorphic Cognition 
Engineering Workshop will be chosen from proposals submitted to the 
organizers.  We will have 4 topic areas and a "Future hardware 
technologies" tutorial/projects group.

*Topic areas can span a large field; we are looking for leadership in 
planning activities and inviting good people in a field.*  Although past 
topic areas have tended to be very broad and discipline-oriented (e.g., 
cognition, audition, vision, robotics, neural interfacing, neuromorphic 
VLSI, etc.), application-oriented topic areas (e.g., sensor fusion, 
game-playing robot, object recognition, sound localization, human robot 
interaction, etc.) are especially desirable.

*Topic area leaders will receive housing for themselves and their 
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 leaders (the invitees) and by 
initiating topic area project discussions prior to the workshop.

*Teams of two organizers are required.*One of the organizers should be 
an attendee of a previous Telluride Workshop (in any capacity) and has 
stayed at the Workshop for at least one week. The second organizer 
should be a person who comes ideally from a field outside neuromorphic 
engineering.

*Pre-workshop topic area choices and study assignments.*
Before the workshop begins, each topic area will be required to prepare 
and distribute study materials that constitute:

  * 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
  * a few critical papers that the participants in the topic area should
    read before the workshop.
  * the topic area should begin a serious group discussion of the
    projects (e.g., via Facebook, Skype, email, etc).

*The maximum 2-page proposals should include:*

 1. Title of topic area.
 2. Names of the two topic leaders, their affiliations, and contact
    information (email addresses required)
 3. A paragraph explaining the focus and goals of the topic area.
 4. A list of possible specific topic area projects.
 5. A list of example invitees (up to six names and institutions).
    Commitments from your invitees should already be in place such that
    these invitees can come to the workshop if your proposal is accepted.
 6. Any other material that fits within the two-page limit that will
    help us make a smart choice.

Send your topic area proposal in pdf or text format to 
*org13(at)neuromorphs.net* with subject line containing "2014 topic area 
proposal".

*Proposals must be received by December 20th, 2013;*proposals received 
after the deadline may still be considered if space is available.

*Resources limit the workshop to 4 topic areas*, each with 5 invitees. 
If your proposal for the topic area is not accepted, we will work with 
you to see if there is a natural way to include your ideas (and you) 
into the accepted 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 theInstitute of Neuromorphic Engineering 
<http://ine-web.org/ine-homepage/index.html>for background information 
on the workshop andneuromorphs.net 
<https://neuromorphs.net/nm/wiki/2013>for past workshop wikis.

We look forward to your topic proposals!

*Deadline: December 20th, 2013*

*The Workshop Directors:*
Cornelia Fermuller (University of Maryland), Ralph Etienne-Cummings 
(Johns Hopkins Univ.) Shih-Chii Liu (University of Zurich and ETH 
Zurich), Timmer Horiuchi (University of Maryland)

*Former 2007-2012 Workshop Director:*
Tobi Delbruck (University of Zurich and ETH Zurich)

-- 
-------------------------------------------------
Ralph Etienne-Cummings
Professor
Department of Electrical and Computer Engineering
The Johns Hopkins University
105 Barton Hall
3400 N. Charles Street
Baltimore, MD 21218
Tel: (410) 516 3494
Fax: (410) 516 2939
Email:retienne at jhu.edu
URL:http://etienne.ece.jhu.edu/

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From irodero at cac.rutgers.edu  Thu Dec  5 01:17:39 2013
From: irodero at cac.rutgers.edu (Ivan Rodero)
Date: Wed, 4 Dec 2013 22:17:39 -0800
Subject: Connectionists: CAC 2014 - Call for Papers
In-Reply-To: <A8A21F51-A1B1-4D34-A774-26FBA4982BBE@rutgers.edu>
References: <51EC7783-DCAD-4364-B1DC-576C726BAA31@rutgers.edu>
 <A3268A87-2686-4D90-B817-9E1B340EAE5B@rutgers.edu>
 <6F339279-23CD-4553-95DF-B1F906F948E3@rutgers.edu>
 <FC60849F-46B5-4F22-8B92-2805B877FE28@rutgers.edu>
 <0957F75F-5AB9-4144-B62D-87D225B34E42@rutgers.edu>
 <A8A21F51-A1B1-4D34-A774-26FBA4982BBE@rutgers.edu>
Message-ID: <A56F46BC-0955-4734-A683-A66A88234352@rutgers.edu>

--------------------------------------------------------------------------------------------------

Please accept our apologies if you receive multiple copies of this CFP!

--------------------------------------------------------------------------------------------------

CAC 2014 Call for Papers
====================

FAS* - Foundation and Applications of Self* Computing Conferences
The International Conference on Cloud and Autonomic Computing (CAC-2014)

Collocated with

The 8th IEEE Self-Adaptive and Self-Organizing System Conference
The 14th IEEE Peer-to-Peer Computing Conference

Imperial College, London, September 8-12, 2014

http://www.autonomic-conference.org

Important Dates

  Abstract registration: March 31, 2014
  Paper submission due: April 7, 2014
  Notification to authors: June 12, 2014
  Final paper due: TBD

Please find attached the complete CFP in PDF format.


=============================================================
Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)                                                         
NSF Center for Cloud and Autonomic Computing (CAC)
Department of Electrical and Computer Engineering            
Rutgers, The State University of New Jersey   
Office: CoRE Bldg, Rm 625                                                       
94 Brett Road, Piscataway, NJ 08854-8058
Phone: (732) 993-8837
Fax:   (732) 445-0593
Email: irodero at rutgers dot edu
WWW: http://nsfcac.rutgers.edu/people/irodero
=============================================================






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From cassio at idsia.ch  Wed Dec  4 11:28:01 2013
From: cassio at idsia.ch (Cassio P. de Campos)
Date: Wed, 4 Dec 2013 17:28:01 +0100
Subject: Connectionists: Brazilian Meeting on Bayesian Statistics - CFP
	Deadline approaching
Message-ID: <CANowy0rgWy_vSq99-fdP-s=sn-okvUw8Oq+_p97JntGweunxxA@mail.gmail.com>

++++++++++++++++++++++++++++++++++++++++
EBEB 2014 (March 10-14) - 12th Brazilian Meeting on Bayesian Statistics
CALL FOR PAPERS (Springer Proceedings in Mathematics & Statistics)
DEADLINE: December 20, 2013


The Brazilian Meeting on Bayesian Statistics (EBEB) is in its twelfth
edition. These meetings aim at strengthening the research on
Bayesian methods and widening their application. They also provide an
environment where Brazilian and international researchers collaborate,
present their most recent developments and discuss on open
problems. EBEB also allows graduate students to make contacts with
experienced researchers. This year's meeting has a particular focus on
discussing recent developments in the many viewpoints of Bayesian
statistics, such as computational, theoretical, methodological and
applied views.

EBEB 2014 will take place in Atibaia, State of Sao Paulo, Brazil
from March 10 to 14, in a beautiful country-side hotel
(http://www.hotelfazendaatibaia.com.br/) specialized in horse riding.
This is precisely one week after the famous Brazilian carnival. The
venue is conveniently placed near Sao Paulo-Guarulhos international
airport (40-minutes trip; the organization will coordinate means to
help participants to reach the venue). For more details, please check
the web page at http://www.ime.usp.br/~isbra/ebeb/. The EBEB 2014 is
organized by ISBrA - the Brazilian Chapter of ISBA.

EBEB 2014 invites submissions of papers on all topics related to
Bayesian Statistics. We welcome submissions by authors who are new to
EBEB and on new and emerging topics -- examples of topics and papers
published/presented in past EBEB meetings can be found at the
meeting's web page.

Full papers accepted to the proceedings will be published in a book
from the series "Springer Proceedings in Mathematics & Statistics"
(http://www.springer.com/series/10533).  Submissions must be
formatted accordingly (more details are available online). Full
papers (including figures and text) are limited to 10 pages in length.

There are two paper submission tracks for EBEB (detailed below), even
though accepted full papers appear in the proceedings regardless of
their track. All accepted papers will be presented during the meeting
either as contributed talks or as posters. The registration in the
event of at least one author and the presentation of the work are
preconditions for their publication in the proceedings.

Early Submission Track:
  December 20, 2013: Early Full Paper Submission.
  January 10, 2014:  Early Decision Notification (for the proceedings).
  July 01, 2014:     Final camera-ready version.

Normal Submission Track:
    December 20, 2013: Abstract Submission.
    January 10, 2014:  Abstract Decision Notification (full paper
mandatory in case of acceptance).
    January 15, 2014:  Early Registration.
    February 10, 2014: Full Paper Submission (for accepted abstracts).
    April 07, 2014:    Decision Notification (for the proceedings).
    July 01, 2014:     Final camera-ready version.

More details about the two tracks and the submission procedure are
available online at http://www.ime.usp.br/~isbra/ebeb/
++++++++++++++++++++++++++++++++++++++++
(We apologize in case you receive multiple copies of this
announcement, but yet we hope to reach the greatest possible
number of people. Finding a trade-off is not an easy task.)

From d.polani at herts.ac.uk  Tue Dec  3 17:02:21 2013
From: d.polani at herts.ac.uk (Daniel Polani)
Date: Tue, 3 Dec 2013 22:02:21 +0000
Subject: Connectionists: Research Fellows in Agent Learning/Adaptation
 Algorithms for Robots
Message-ID: <21150.21741.505140.98535@gargle.gargle.HOWL>

<apologies for crossposting>

---------------------------------------------------------
2 Research Fellowships in Agent/Robot Learning Algorithms

Salary per annum: UH6 - 25,504-30,424 GBP pa 
(depending on qualifications and experience)

Adaptive Systems Research Group (http://adapsys.feis.herts.ac.uk/)
School of Computer Science
University of Hertfordshire, UK (www.herts.ac.uk)

Contact for informal inquiries: 
Dr. Daniel Polani (E-mail: d.polani at herts.ac.uk)

PROJECT AND REQUIREMENTS
------------------------

Two Research Fellow positions are available in the EU Framework VII
funded project CORBYS (Cognitive Control Framework for Robotic
Systems). As a part of a European project, this full-time research
post will allow the postholders to pursue research into novel methods
for self-motivated behaviour generation, behaviour anticipation,
intentionality and initiative detection, based on principled
information-theoretic and causality-detection approaches, in the
context of robotic agents.

The CORBYS consortium consists of several European partners in
Germany, UK, Belgium, Spain, Norway and Slovenia. For above tasks, our
team develops algorithms that operate following a novel class of
principles to address above tasks. The research centers on the
development of such algorithms, involving learning and adaptation, and
developing and deploying corresponding software solutions on physical
robots.

Applicants for the positions should have a strong postgraduate degree
(MSc or PhD) in a quantitative research-oriented discipline, examples
would be computer science, mathematics or physics. Applicants should
have strong mathematical background, ideally with emphasis on the
areas of probabilistic modeling, information theory or stochastic
control, alternatively, experience in robot control. Excellent
programming skills are essential to the positions. Experience with
robotic software development and relevant frameworks such as ROS,
and/or running AI algorithms on real-world robots is a plus.
Applicants will have a high degree of motivation and, at the same time
the ability to work both independently and in collaboration with the
other investigators in the group and the project consortium in an
exciting, productive and ambitious research project. This project
offers the unique opportunity to develop bridges between advanced and
principled theoretical AI methods and state-of-the-art robotic devices
in the context of conceptually novel approaches for the interaction
between humans and robots.

FURTHER INFORMATION
-------------------

The postholders will be members of the Adaptive Systems Research Group
(ASRG) (http://adapsys.feis.herts.ac.uk/) at the University of
Hertfordshire in the School of Computer Science. The ASRG includes
more than 30 research staff members (postdocs/PhD students). The ASRG
is a very enthusiastic, vibrant and highly innovative
multidisciplinary research group with an excellent international
research track record and visibility, which includes relevant work on
principled mathematical methods to construct biologically inspired
models for Artificial Intelligence, cognitive embodied systems and
Artificial Life.

The University of Hertfordshire itself ranks 27th in England for
post-2008 RAE-funding in Computer Science and Informatics. The
university is located in Hatfield, less than 25 minutes by train from
London Kings Cross and with convenient access to Stansted, Luton and
Heathrow airports and, via St. Albans Thameslink, also to Gatwick
airport. St. Albans, a charming English town is located nearby.

The position is full-time. The work will be based at University of
Hertfordshire and may include short stays at European partner
institutions. The position is based on a fixed-term contract ending on
31. January 2015. The position is to be filled as soon as possible.

CONTACT AND APPLICATION
-----------------------

All formal applications must be made via the Human Resources
Department at University of Hertfordshire:

http://web-apps.herts.ac.uk/uhweb/apps/hr/research-vacancies.cfm

The above website will allow potential applications to find out more
information about the post, including a detailed job and person
specification. Please consult this website in order to evaluate your
suitability for the post.

Note that under current UKBA regulations, the University is unlikely
to be able to get a work permit in respect of this post. We can
therefore only accept applications from people who will have the right
to work in the UK for at least one year from the date of appointment.

For other informal inquiries related to the post please contact Dr.
Daniel Polani (d.polani at herts.ac.uk).

Closing date: 20. December 2013

-----------------------------------------------------
Dr. Daniel Polani
Reader in Artificial Life
Adaptive Systems Research Group
The University of Hertfordshire, School of Computer Science
College Lane, Hatfield, Hertfordshire AL10 9AB, United Kingdom
URL: http://homepages.feis.herts.ac.uk/~comqdp1
E-mail: d.polani at herts.ac.uk
Fax: +44-1707-284-303  Tel: +44-1707-284-380

From wachtler at biologie.uni-muenchen.de  Tue Dec  3 16:34:28 2013
From: wachtler at biologie.uni-muenchen.de (Thomas Wachtler)
Date: Tue, 3 Dec 2013 22:34:28 +0100 (CET)
Subject: Connectionists: G-Node Winter Course on Neural Data Analysis 2014
Message-ID: <alpine.DEB.2.00.1312032227220.27111@jnpugyre1.paf.omz>



6th G-Node Winter Course on Neural Data Analysis

February 24 - 28, 2014 in Munich, Germany

The German Neuroinformatics Node (G-Node) organizes its sixth
international training course to promote state-of-the-art methods
of neural data analysis among PhD students and postdocs.
The course offers hands-on experience with model-driven analysis
of data from intra- and extracellular electrophysiology.
We encourage applications from students/postdocs with an experimental
background that want to widen their repertoire of analysis methods,
as well as from students with a theoretical background that have
an interest in analyzing physiological data.

Faculty:
Jan Grewe ? Eberhard Karls Universit?t T?bingen
Alex Loebel ? Ludwig-Maximillians-Universit?t M?nchen and BCCN M?nchen
Fabian Sinz ? Eberhard Karls Universit?t T?bingen
Thomas Wachtler ? Ludwig-Maximillians-Universit?t M?nchen and BCCN M?nchen

Topics:
? Short-term plasticity ? Spectral analysis ? Mutual information ? Machine
learning ? Neural tuning and decoding ?

Deadline for application: December 30, 2013

For more information visit http://www.g-node.org/dataanalysis-course-2014


With best regards,

Jan Grewe (Organizer, T?bingen) and Thomas Wachtler (Local Organizer, Munich)


From mpavone at dmi.unict.it  Thu Dec  5 13:24:19 2013
From: mpavone at dmi.unict.it (Mario Pavone)
Date: Thu, 05 Dec 2013 19:24:19 +0100
Subject: Connectionists: 1st announcement: Synthetic and Systems Biology
 Summer School: Biology meets Engineering and Computer Science,
 Taormina - Sicily, Italy June 15-19, 2014
Message-ID: <20131205192419.Horde.pwvzXOph4B9SoMTTHDMCxQA@dmi.unict.it>


______________________________________________________
Call for Participation (apologies for multiple copies)
______________________________________________________

Synthetic and Systems Biology Summer School: Biology meets Engineering  
and Computer Science
Taormina - Sicily, Italy, June 15-19, 2014

W: http://www.taosciences.it/ssbss2014/
E: ssbss at dmi.unict.it

Application Deadline: February 15 2014

Recent advances in DNA synthesis have increased our ability to build  
biological systems. Synthetic Biology aims at streamlining the design  
and synthesis of robust and predictable biological systems using  
engineering design principles. Designing biological systems requires a  
deep understanding of how genes and proteins are organized and  
interact in living cells: Systems Biology aims at elucidating the  
cellular organization at gene, protein, cell, tissue, organ and  
network level using computational and biochemical methods.

The Synthetic and Systems Biology Summer School (SSBSS) is a  
full-immersion course on cutting-edge advances in systems and  
synthetic biology with lectures delivered by world-renowned experts.  
The school provides a stimulating environment for doctoral students,  
early career researches and industry leaders. Participants will also  
have the chance to present their results (Oral presentations or  
Posters) and to interact with their peers.


Confirmed List of Speakers
Uri Alon, Weizmann Institute of Science, Israel
Jef Boeke, Johns Hopkins University, USA
Jason Chin, MRC Laboratory of Molecular Biology, UK
Virginia Cornish, Columbia University, USA
Angela DePace, Harvard University, USA
Paul Freemont, Imperial College London, UK
Tanja Kortemme, University of California San Francisco, USA
Giuseppe Nicosia, University of Catania, Italy
Sven Panke, ETH, Switzerland
Rahul Sarpeshkar, MIT, USA
Ron Weiss, MIT, USA

Other speakers will be announced soon.


School Directors
Jef Boeke, Johns Hopkins University, USA
Giuseppe Nicosia, University of Catania, Italy
Mario Pavone, University of Catania, Italy
Giovanni Stracquadanio, Johns Hopkins University, USA


Short Talk and Poster Submission
Students may submit a research abstract for presentation. School  
directors will review the abstracts and will recommend for poster or  
short-oral presentation. Abstract should be submitted by February 15,  
2014. The abstracts will be published on the electronic hands-out  
material of the summer school.

W: http://www.taosciences.it/ssbss2014/
E: ssbss at dmi.unict.it

-- 
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/
===========================================================================
12th European Conference on Artificial Life - ECAL 2013
September 2-6, 2013 - Taormina, Italy
http://mitpress.mit.edu/books/advances-artificial-life-ecal-2013
===========================================================================



From vanessa.casagrande at bccn-berlin.de  Fri Dec  6 09:10:52 2013
From: vanessa.casagrande at bccn-berlin.de (Vanessa Casagrande)
Date: Fri, 6 Dec 2013 15:10:52 +0100 (CET)
Subject: Connectionists: Call for applications: Graduate Programs
 Computational Neuroscience in Berlin
In-Reply-To: <785023258.108975.1386329633424.JavaMail.root@comms>
Message-ID: <1533953430.112216.1386339052523.JavaMail.root@comms>

Apologies for cross-posting

Doctoral and Master's Program "Computational Neuroscience" in Berlin, Germany

Application deadline March 15th, 2014
Begin of courses: October 2014
Internet: www.computational-neuroscience-berlin.de

_Doctoral Program_

The Bernstein Center for Computational Neuroscience Berlin and the TU Berlin invite applications for 7 fellowships of the Research Training Group "Sensory Computation in Neural Systems" (GRK 1589/1).

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 sensory 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 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 (http://www.bccn-berlin.de/) a leading research center dedicated to the theoretical study of neural processing.

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.

Candidates selected in the first application step will be invited for lab visits and an interview, expected to take place in June 2014. The fellowships of 1468 ?/month - with additional children allowances if applicable - will be granted for up to three years (subject to the authorisation of funds by the German Research Foundation).

_Master's Program_

The tuition-free Master's program 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 grant the students 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 (i.e. at least 24 ECTS credit points).

---

For more information...

... come and visit us on January 22nd 2014 at 4 PM (sharp) at the BCCN Berlin:
https://www.bccn-berlin.de/Calendar/Events/event/?contentId=3373

... or browse: 
www.computational-neuroscience-berlin.de

... or e-mail:
graduateprograms at bccn-berlin.de .

With best regards,

Vanessa Casagrande

-- 

Dr. Vanessa Casagrande
Teaching Coordinator

Bernstein Center for Computational Neuroscience
Humboldt-Universitaet zu Berlin	
Philippstr. 13 Haus 6
10115 Berlin, Germany
Phone +49 (0)30 2093 6773
Fax +49 (0)30 2093 6771
http://www.computational-neuroscience-berlin.de

GRK 1589/1
Sensory Computation in Neural Systems
Technische Universit?t Berlin
Sekretariat FR 2-1
Franklinstr. 28/29
10587 Berlin, Germany
Phone +49 (0)30 314 72006
Fax +49 (0)30 314 73121
http://www.eecs.tu-berlin.de/grk_15891


From dwang at cse.ohio-state.edu  Fri Dec  6 10:36:23 2013
From: dwang at cse.ohio-state.edu (DeLiang Wang)
Date: Fri, 6 Dec 2013 10:36:23 -0500
Subject: Connectionists: CFP: Special Issue on Deep Learning of
 Representations in Neural Networks
Message-ID: <52A1EEF7.2010305@cse.ohio-state.edu>

*Guest Editors*

Yoshua Bengio, Universite de Montreal
Honglak Lee, University of Michigan


*Timeframe*

Submission deadline: January 15, 2014
Notification of Acceptance: May 15, 2014
Final Manuscripts Due: July 1, 2014
Date of Publication: October 1, 2014


*Background and Motivation*

The performance of machine learning methods is heavily dependent on the 
choice of data representation (or features) on which they are applied. 
For that reason, much of the actual effort in deploying machine learning 
algorithms goes into the design of preprocessing pipelines and data 
transformations that result in a representation of the data that can 
support effective machine learning. Such feature engineering is 
important but labor-intensive and highlights the weakness of many 
traditional learning algorithms: their inability to extract and organize 
the discriminative information from the data. Feature engineering is a 
way to take advantage of human ingenuity and prior knowledge to 
compensate for that weakness. In order to expand the scope and ease of 
applicability of machine learning, it would be highly desirable to make 
learning algorithms less dependent on feature engineering, so that novel 
applications could be constructed faster, and more importantly, to make 
progress towards Artificial Intelligence (AI).

Deep Learning is an emerging approach within the machine learning 
research community. Deep Learning research aims at discovering learning 
algorithms that discover multiple levels of distributed representations, 
with higher levels representing more abstract concepts. They have had 
important empirical successes in a number of traditional AI applications 
such as computer vision and natural language processing. Deep Learning 
is attracting much attention both from the academic and industrial 
communities. Companies like Google, Microsoft, Apple, IBM and Baidu are 
investing in Deep Learning, with the first products being used by 
consumers being at the core of speech recognition engines. Deep Learning 
is also used for object recognition (Google goggles), image and music 
information retrieval (Google image search, Google music), as well as 
computational advertising. The New York Times covered the subject twice 
in 2012, with front-page articles.1 Another series of articles 
(including a New York Times article) covered a more recent event showing 
off the application of Deep Learning in a major Kaggle competition for 
drug discovery (for example see "Deep Learning - The Biggest Data 
Science Breakthrough of the Decade"2 ). Earlier, a variant of the 
Boltzmann machine that is easier to train (the Restricted Boltzmann 
Machine) has been used as a crucial part of the winning entry of a 
million-dollar machine learning competition (the Netflix competition). 
Much more recently, Google bought out ("acqui-hired'') a company 
(DNNresearch) created by University of Toronto professor Geoffrey Hinton 
(the founder and leading researcher of Deep Learning), with the press 
writing titles such as "Google Hires Brains that Helped Supercharge 
Machine Learning'' (Robert McMillan for Wired, March 13th, 2013).

A representation learning algorithm discovers explanatory factors or 
features, while a deep learning algorithm is a representation learning 
procedure that discovers multiple levels of representation, with 
higher-level features representing more abstract aspects of the data. 
This area of research has been kick-started in 2006 by a few research 
groups and is now one of the most active sub-areas of machine learning, 
with an increasing number of workshops (now one every year at the NIPS 
and ICML conferences) and even a new specialized conference just created 
in 2013 (ICLR -- the International Conference on Learning 
Representations). Although impressive theoretical results, effective 
learning algorithms, and breakthrough experiments have already been 
achieved, several challenges lie ahead, and constitute the subject of 
this special issue.

This special issue invites paper submissions on the most recent 
developments in learning deep architectures, theoretical foundations, 
representation, optimization, semi-supervised and transfer learning, and 
applications to real-world tasks. We also welcome survey and overview 
papers in these general areas pertaining to learning deep architectures. 
Detailed topics of presentations include but are not limited to:

  * Deep learning architectures and algorithms
  * Unsupervised and semi-supervised learning with deep architectures
  * transfer learning algorithms with deep architectures
  * Representation-learning and disentangling
  * Inference and sampling issues
  * Scaling up to large models and parallelization
  * Optimization relevant to learning deep architectures
  * Theoretical foundations of deep learning
  * Applications, in particular to computer vision, speech recognition, 
NLP and big data

*
**Submission Instructions*

Prospective authors should follow standard author instructions for 
Neural Networks and submit their manuscripts online at 
http://ees.elsevier.com/neunet/, where this Call for Papers is also 
listed. During the submission process, there will be opportunities to 
designate the submission to this special issue.



From nicosia at dmi.unict.it  Fri Dec  6 04:34:04 2013
From: nicosia at dmi.unict.it (Giuseppe Nicosia)
Date: Fri, 6 Dec 2013 10:34:04 +0100
Subject: Connectionists: 1st announcement: Synthetic and Systems Biology
	Summer School: Biology meets Engineering and Computer Science,
	Taormina - Sicily, Italy June 15-19, 2014
Message-ID: <D86540ED-A81B-437E-8F3F-DF6AED49B178@dmi.unict.it>

1st announcement: Synthetic and Systems Biology Summer School: Biology meets Engineering and Computer Science, Taormina - Sicily, Italy June 15-19, 2014

______________________________________________________
Call for Participation (apologies for multiple copies) 
______________________________________________________

Synthetic and Systems Biology Summer School: Biology meets Engineering and Computer Science
Taormina - Sicily, Italy, June 15-19, 2014

W: http://www.taosciences.it/ssbss2014/
E: ssbss at dmi.unict.it

*Application Deadline: February 15 2014*

Recent advances in DNA synthesis have increased our ability to build biological systems. Synthetic Biology aims at streamlining the design and synthesis of robust and predictable biological systems using engineering design principles. Designing biological systems requires a deep understanding of how genes and proteins are organized and interact in living cells: Systems Biology aims at elucidating the cellular organization at gene, protein, cell, tissue, organ and network level using computational and biochemical methods.

The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion course on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for doctoral students, early career researches and industry leaders. Participants will also have the chance to present their results (Oral presentations or Posters) and to interact with their peers.


*List of Speakers* 
Uri Alon, Weizmann Institute of Science, Israel
Jef Boeke, Johns Hopkins University, USA
Jason Chin, MRC Laboratory of Molecular Biology, UK
Virginia Cornish, Columbia University, USA
Angela DePace, Harvard University, USA
Paul Freemont, Imperial College London, UK
Tanja Kortemme, University of California San Francisco, USA
Giuseppe Nicosia, University of Catania, Italy
Sven Panke, ETH, Switzerland
Rahul Sarpeshkar, MIT, USA
Ron Weiss, MIT, USA
 		
Other speakers will be announced soon.


School Directors
Jef Boeke, Johns Hopkins University, USA
Giuseppe Nicosia, University of Catania, Italy
Mario Pavone, University of Catania, Italy
Giovanni Stracquadanio, Johns Hopkins University, USA


Short Talk and Poster Submission
Students may submit a research abstract for presentation. School directors will review the abstracts and will recommend for poster or short-oral presentation. Abstract should be submitted by February 15, 2014. The abstracts will be published on the electronic hands-out material of the summer school.

W: http://www.taosciences.it/ssbss2014/ 									
E: ssbss at dmi.unict.it



From morrison at fz-juelich.de  Fri Dec  6 05:43:24 2013
From: morrison at fz-juelich.de (Abigail Morrison)
Date: Fri, 6 Dec 2013 11:43:24 +0100
Subject: Connectionists: Announcement of BrainScaleS CodeJam 6,
	Jan 27-29 2014
Message-ID: <52A1AA4C.3020904@fz-juelich.de>

The CodeJam workshops are dedicated to bringing together scientists, graduate students, and scientific programmers to share ideas, present their work, and write code together. Mornings are dedicated to invited and contributed talks, leaving the afternoons free for discussions, tutorials and code sprints. These workshops have been hugely effective in catalyzing open-source neuroscience software development.

The 6th CodeJam has a focus on high-performance computing and will be held on 27 - 29 January 2014 in J?lich, Germany. The local organisation is carried out by the Simulation Lab Neuroscience (SLNS) headed by Abigail Morrison.

Please visit the event website http://www.fz-juelich.de/ias/jsc/events/codejam to learn more and register. Places are limited, so early registration is recommended.

Originally funded by the FACETS project, the workshops enjoy ongoing funding and support from BrainScaleS, INCF, the Helmholtz Association, the J?lich-Aachen Research Alliance and the Bernstein Network.

--
Prof. Dr. Abigail Morrison

Institute of Neuroscience and Medicine (INM-6)
Functional Neural Circuits Group
J?lich Research Center

http://www.fz-juelich.de/inm/inm-6/

Office: +49 2461 61-9805
Fax # : +49 2461 61-9460




------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr. Achim Bachem (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------

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From mpavone at dmi.unict.it  Sat Dec  7 05:05:47 2013
From: mpavone at dmi.unict.it (Mario Pavone)
Date: Sat, 07 Dec 2013 11:05:47 +0100
Subject: Connectionists: 1st announcement: Synthetic and Systems Biology
 Summer School: Biology meets Engineering and Computer Science,
 Taormina - Sicily, Italy June 15-19, 2014
Message-ID: <20131207110547.Horde.s77DdOph4B9SovL75pKh1KA@mbox.dmi.unict.it>


______________________________________________________
Call for Participation (apologies for multiple copies)
______________________________________________________

Synthetic and Systems Biology Summer School: Biology meets Engineering  
and Computer Science
Taormina - Sicily, Italy, June 15-19, 2014

W: http://www.taosciences.it/ssbss2014/
E: ssbss2014 at dmi.unict.it

*Application Deadline: February 15 2014*

Recent advances in DNA synthesis have increased our ability to build  
biological systems. Synthetic Biology aims at streamlining the design  
and synthesis of robust and predictable biological systems using  
engineering design principles. Designing biological systems requires a  
deep understanding of how genes and proteins are organized and  
interact in living cells: Systems Biology aims at elucidating the  
cellular organization at gene, protein, cell, tissue, organ and  
network level using computational and biochemical methods.

The Synthetic and Systems Biology Summer School (SSBSS) is a  
full-immersion course on cutting-edge advances in systems and  
synthetic biology with lectures delivered by world-renowned experts.  
The school provides a stimulating environment for doctoral students,  
early career researches and industry leaders. Participants will also  
have the chance to present their results (Oral presentations or  
Posters) and to interact with their peers.


*List of Speakers*
- Uri Alon, Weizmann Institute of Science, Israel
- Jef Boeke, Johns Hopkins University, USA
- Jason Chin, MRC Laboratory of Molecular Biology, UK
- Virginia Cornish, Columbia University, USA
- Angela DePace, Harvard University, USA
- Paul Freemont, Imperial College London, UK
- Farren Isaacs, Yale University, USA
- Tanja Kortemme, University of California San Francisco, USA
- Giuseppe Nicosia, University of Catania, Italy
- Sven Panke, ETH, Switzerland
- Rahul Sarpeshkar, MIT, USA
- Giovanni Stracquadanio, Johns Hopkins University, USA
- Ron Weiss, MIT, USA

Other speakers will be announced soon.


*School Directors*
- Jef Boeke, Johns Hopkins University, USA
- Giuseppe Nicosia, University of Catania, Italy
- Mario Pavone, University of Catania, Italy
- Giovanni Stracquadanio, Johns Hopkins University, USA


*Short Talk and Poster Submission*
Students may submit a research abstract for presentation. School  
directors will review the abstracts and will recommend for poster or  
short-oral presentation. Abstract should be submitted by February 15,  
2014. The abstracts will be published on the electronic hands-out  
material of the summer school.

W: http://www.taosciences.it/ssbss2014/
E: ssbss2014 at dmi.unict.it


-- 
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/
===========================================================================
12th European Conference on Artificial Life - ECAL 2013
September 2-6, 2013 - Taormina, Italy
http://mitpress.mit.edu/books/advances-artificial-life-ecal-2013
===========================================================================



From akira-i at brest-state-tech-univ.org  Sat Dec  7 19:54:45 2013
From: akira-i at brest-state-tech-univ.org (Akira Imada)
Date: Sun, 8 Dec 2013 03:54:45 +0300
Subject: Connectionists: Join us at our conference in Belarus: Call for
	Papers - 177 days to go
Message-ID: <CANHULDU8rw-i-=JCCDJrxWd=8QBzyi5-n0D3YONUnm=xzuQisQ@mail.gmail.com>

Dear Connectionists,

Call for Papers

The 8th International Conference on Neural Network and Artificial
Intelligence (ICNNAI'2014) will be held during 3

-6 June 2014 in Brest, Belarus.

Topics are theory/application/implementation of a neural network that we
are to claim to be intelligent.

After announcing our preliminary Call for Papers last month, we've had a
big change in our preparation of this

conference. That is, the Springer, "after a tough discussion in their
editorial board," has accepted our

proceedings for publication as a CCIS volume, still conditional though.

Hence, we need great cooperation of you all, for the Springer's final
decision on acceptance.

We'd highly appreciate it if you'd be joining this seemingly our landmark
event with your excellent papers.

It's also worthy to visit Belarus, a land of fairly well-kept secret. In
this lovely wonder land, with luck, you'll

find something that could not be discovered elsewhere.

Calender:
Submission due: 25 February 2014.
Notification to the authors: 18 March 2014.
Camera-ready due: 25 March 2014.

Registration fee: 180 EUR.

See more in detail by visiting at http://icnnai.bstu.by/2014/cfp.html.

Sorry if you receive this e-mail more than once.

Best regards,

Akira Imada,  Professor
email: akira-i at brest-state-tech-univ.org
Dept. Intelligent Information Technology
Brest State Technical University
Moskowskaja 267, Brest, 224017 Belarus
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From peter.ljunglof at heatherleaf.se  Sun Dec  8 16:07:10 2013
From: peter.ljunglof at heatherleaf.se (=?utf-8?Q?peter_ljungl=C3=B6f?=)
Date: Sun, 8 Dec 2013 22:07:10 +0100
Subject: Connectionists: EACL 2014 Student Research Workshop,
	Final Call for Papers
Message-ID: <FB6CC354-5F7B-4309-A692-C5B448C1593F@heatherleaf.se>

EACL 2014 STUDENT RESEARCH WORKSHOP, FINAL CALL FOR PAPERS

The Submission deadline is Friday, 13 December 2013; 11:59pm CET

The 14th Conference of the European Chapter of the Association for Computational Linguistics
Gothenburg, Sweden
26-30 April 2014
http://eacl2014.org/


I. General Invitation for Submissions
-------------------------------------

EACL 2014 continues the tradition of providing a forum for student researchers who are investigating various areas related to Computational Linguistics and Natural Language Processing. The workshop provides an excellent opportunity for student participants to present their work and receive valuable feedback from the international research community as well as from selected panelists - experienced researchers who will prepare in-depth comments and questions in advance of the presentation. The workshop's goal is to aid students at multiple stages of their education: from those in the final stages of undergraduate training to those active with graduate thesis research.

We invite papers in two separate categories:

1. Thesis/Research Proposals: This category is appropriate for students who wish to get feedback on the progress of their thesis work and broader ideas from the field in order to identify the most promising directions for the remaining thesis work.

2. Research Papers: Most appropriate for students who are new to academic conferences. Papers in this category can describe completed original work or work in progress with preliminary results. 

Topics relevant to the workshop aim to cover all aspects of Computational Linguistics and Natural Language Processing, including, but not limited to (in alphabetical order):

- Cognitive modeling of language processing and psycholinguistics 
- Dialogue and interactive systems 
- Discourse, coreference and pragmatics 
- Evaluation methods 
- Information retrieval
- Language resources
- Lexical semantics and ontologies 
- Machine translation: methods, applications and evaluation 
- Multilinguality in NLP 
- NLP applications 
- NLP and creativity 
- NLP for low-resource languages
- NLP for the Web and social media
- Question answering 
- Semantics 
- Sentiment analysis, opinion mining and text classification 
- Spoken language processing 
- Statistical and Machine Learning methods in NLP 
- Summarization and generation 
- Syntax and parsing 
- Tagging and chunking
- Text mining and information extraction 
- Word segmentation   

Subject to the availability of established researcher volunteers, each accepted paper will be assigned a mentor, an experienced researcher who will provide feedback on the work to the student at the conference. Details on this service will be provided in the acceptance notification.   


II. Submission guidelines
-------------------------

A) Submission requirements

1. Thesis/Research Proposals may contain previously published work and must include specific research directions. They may also be in the style of a position paper that surveys and critiques existing literature, but must suggest future research directions. Proposals may only have one author, who must be a student.

2. Research Papers must describe original completed work or work in progress. Since the main purpose of presenting at the workshop is to exchange ideas with other researchers and to receive helpful feedback for further development of the work, papers should clearly indicate directions for future research wherever appropriate. The first author of multi-author papers must be a student, but additional co-authors need not be students. Research Papers are eligible for this workshop only if they have not been presented at any other meeting with publicly available published proceedings. Students who have already presented at a past ACL/EACL/NAACL Student Research Workshop may not submit to this track as a first author (though they may still be a co-author, or the first author of a Thesis/Research Proposal). These students are instead encouraged to submit their work to the main conference or to the Thesis Proposal track. During submission, students must clearly indicate whether a paper has been submitted to another conference or workshop. Double submissions to the EACL main conference and the Student Research Workshop are not allowed. One student can only submit one paper to the Research Papers track as the first author.

B) Submission procedure

Both paper and proposal submissions to the EACL 2014 Student Research Workshop should follow the standard two-column format of the EACL 2014 proceedings and they must be submitted as a PDF file. Authors are strongly recommended to use the style files from the conference web site. The style files are available here:

- http://www.eacl2014.org/files/eacl-2014-styles.zip

All submissions may consist of up to nine (9) pages of content only. Any number of additional pages containing references is allowed. 

The reviewing process will be double-blind; therefore, please ensure that the paper does not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Further guidelines are provided in the template style files.  References to your own work in thesis proposals should also be anonymized. You may for example write it as "in X (2000) we showed", etc. and do not add your papers in the reference list. Authors should not use other anonymous citations in both research papers and thesis proposals, and should not include any acknowledgments. Papers that do not conform to these requirements will be rejected without review.

The deadline for submission has been extended to 11:59pm CET on Friday, 13 December 2013. Submission will be electronic using the paper submission web page:

- https://www.softconf.com/eacl2014/srw/

Papers will be presented orally or as posters during the main EACL conference as determined by the program committee. Decisions on presentation format will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and as posters. 

C) Multiple-submission policy

Papers that have been or will be submitted to other meetings or publications must indicate this at submission time. Authors of papers accepted for presentation at EACL SRW 2014 must notify the program chairs whether the paper will be presented. All accepted papers must be presented at the workshop in order for them to appear in the proceedings. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. Double submissions to the EACL main conference and the Student Research Workshop are not allowed, and the authors must ensure that these submissions do not overlap significantly (> 50%) with each other in content or results.

D) Reviewing procedure

The reviewing of the papers will be double-blind. Reviewing will be managed by the Student Workshop Co-Chairs and a team of reviewers. Each submission will be matched with a mixed panel of student and senior researchers for review. The final acceptance decision will be based on the results of the review. 


III. Important dates
--------------------

- Submission deadline has been extended to: 13 December 2013
- Notification of acceptance: 20 January 2014
- Camera-ready submission deadline: 17 February 2014
- Conference dates: 26-30 April 2014 

(The workshop will be held during the main conference, in a mode similar to the conference's regular sessions. The exact format will be decided by the workshop co-chairs and conference chairs.) 


IV. Student Research Workshop Committee
---------------------------------------

Student chairs:
- Desmond Elliott (University of Edinburgh, UK)
- Konstantina Garoufi (University of Potsdam, Germany)
- Douwe Kiela (University of Cambridge, UK)
- Ivan Vuli? (KU Leuven, Belgium)

Faculty advisor:
- Sebastian Pad? (University of Stuttgart, Germany)

Contact information:
- students at eacl.org




From getoor at soe.ucsc.edu  Sat Dec  7 22:58:15 2013
From: getoor at soe.ucsc.edu (Lise Getoor)
Date: Sat, 7 Dec 2013 19:58:15 -0800
Subject: Connectionists: Reminder: Faculty position in Large-scale Machine
 Learning / Data Science at UC Santa Cruz
Message-ID: <CAAxbsOxF22G-bBwA+Q--=Yce=QrBpqFH_gf=unOJ4cnycjmzqg@mail.gmail.com>

The CS department at UC Santa Cruz invites applications for a tenured
position at all levels in areas relevant to Big Data and Data Science
broadly conceived, such as database management, machine learning, and data
storage systems

Please visit: http://apo.ucsc.edu/academic_employment/jobs/JPF00059-14.pdf
for a full description and application instructions

To ensure full consideration, applications for this position, including
letters of reference, must arrive by December 17, 2013

Lise Getoor
Computer Science Department
UC Santa Cruz
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From y-inoue at hi.is.uec.ac.jp  Sun Dec  8 22:14:52 2013
From: y-inoue at hi.is.uec.ac.jp (Yasuyuki Inoue)
Date: Mon, 09 Dec 2013 12:14:52 +0900
Subject: Connectionists: CFP Neural Networks: Special Issue on Communication
	and Brain
Message-ID: <52A535AC.5010505@hi.is.uec.ac.jp>

Dear Colleagues,

We cordially invite you to submit a paper to the Special Issue on
Communication and Brain of Neural Network journal.

The submission deadline is January 10, 2014.

Please visit the following site for details.

http://www.journals.elsevier.com/neural-networks/call-for-papers/communication-brain-emergent-functions/

Please confirm you choose "Special Issue: Comm and Brain"
in choosing Article Type.

Sincerely,

Yutaka Sakaguchi
Guest Editor of Special Issue on "Communication and Brain", Neural Networks

===

Aim and Scope
The variety of functions of the brain is realized by the communications
among information processing units at multiple levels. First, a network
of single neurons forms a rich non-linear dynamical system. Second,
interaction between different functional modules (or cell assemblies) is
a basic structure for achieving perceptual, cognitive and motor
functions. Third, communication between different individuals (or
brains) enables cooperative and social functions. Considering the
complex nature of the communicationswithin and between brains, their
understanding necessitates multidisciplinary approaches, such as
mathematics, computational theory, psychophysics, physiology and brain
imaging. Integration of these approaches can lead to the comprehension
of the principle of brain information processing and its application to
practical matters.

The aim of this special issue is to foster a new research field of
communication by integrating advances in the theoretical and
experimental studies, including mathematical theory, computer models,
psychophysical and neurophysiological experiments, and conceptual
proposals. Results of collaborative studies between theoretical and
experimental researchers are especially welcome. Topics include:

- Functions of chaotic dynamical system
- Dynamic cell assemblies
- Synchronization and de-synchronization of neural activity and EEG patterns
- Behavioral synchronization; Social synchronization
- Interactions between bottom-up and top-down signal streams
- Dynamics of functional differentiation
- Emergence of grammar/rules in communication, and
- Self-organization of social roles

This special issue invites concise submissions, but longer papers that
capture the essence of communication will also be considered. Topical
reviews as well as original results are welcome.

Manuscripts should be submitted from http://ees.elsevier.com/neunet

For any inquiry, please contact nncb2014 at hi.is.uec.ac.jp


From H.Abbass at adfa.edu.au  Mon Dec  9 06:44:16 2013
From: H.Abbass at adfa.edu.au (Hussein Abbass)
Date: Mon, 9 Dec 2013 11:44:16 +0000
Subject: Connectionists: Post-doc and PhD positions at UNSW-Canberra,
	Australia
Message-ID: <E4B0EDE668454840A4BBFE6F1DD1ADAA48F81653@ADFAPWEXMBX01.ad.adfa.edu.au>

http://www.husseinabbass.net/positions.html


Position 1: 3-year fixed-term Post-doc on Computational Red Teaming Models of Challenges [CLOSING DATE: 6-January-2014]
See Below for Details

Position 2: 3-year PhD Scholarship on Computational Models for Automatic Skill Assessment [CLOSING DATE: 1-February-2014 or until position is filled]
See Below for Details



Position 1: 3-year fixed-term Post-doc on Computational Red Teaming Models of Challenges

(Research Associate, Academic Level A: $65,654- $87,540pa (+super))

Note: Minimum Salary for a Candidate who has been awarded the PhD degree is $81,844pa

[CLOSING DATE: 6-January-2014]

About the project

Do you have a PhD in cognitive or computer science? Do you like challenges? Here is your opportunity to understand what a "challenge" is, how the brain formulates a "challenge", how to mathematically and computationally model a "change", and how to design artificial intelligence algorithms to "challenge" humans and machines when performing a task?

This project is a recently funded Australian Research Council Discovery Project entitled "Challenging systems to discover vulnerabilities using computational red teaming". Computational Red Teaming (CRT) aims at developing models to 'intentionally' 'challenge' human thinking to discover vulnerabilities and improve human skills in assessing the risk of problems with 'intentional' threats. The successful applicant will be required to teach one subject per annum. Our aim is to have a balanced academic environment that will enable the applicant to be competitive by the end of this project to pursue his/her dream in academia. With a teaching load of one subject per annum, the candidate will develop and sustain their teaching skills without sacrificing their ability to undertake high impact research and publish high quality papers.

The ideal candidate for the post-doc position

The ideal candidate will be a researcher who likes to work at the interface of cognitive science and artificial intelligence. We are looking for a researcher who knows how to balance being goal and task focused, thinking with no boundaries, and believing that the impossible is possible and is where innovation lies.

Our School

The School of Engineering and Information Technology (SEIT) employs approximately 70 academic staff and a further 30 technical staff. The School teaches approximately 300 EFTSU of student load each year. In SEIT, researchers currently produce in excess of 350 research publications annually. The external research income in 2013 was more than $A2 million.

Our Team

SEIT hosts one of the largest groups in Australia working on and using computational intelligence techniques. The team for this project is a small team within the large group. Led by Hussein Abbass, www.husseinabbass.net<http://www.husseinabbass.net>, we enjoy working at the interface between different fields of science. We complement each other expertise to produce innovative solutions to the problem under investigation. We transformed fundamental research to significant practical solution such as air traffic control and capability development. We enjoy blue sky research that asks the right question and asks the question right. Our success is internationally recognized with friends and collaborators across the globe.

How to apply?

You have to visit the website at http://hr.unsw.adfa.edu.au/_form/index.php

It is  a requirement that you provide a cover letter, with each selection criterion listed in the position description document highlighted and addressed independently. Without addressing the selection criteria, your application can't be evaluated. Please address the selection criteria in light of the position description. As a guideline, half to one page per criterion is expected.

For additional information about this position, please contact Prof. Hussein Abbass on (02) 6268 8158 or email h.abbass at adfa.edu.au<mailto:h.abbass at adfa.edu.au> or hussein.abbass at gmail.com<mailto:hussein.abbass at gmail.com>

An applicant may be required to undergo pre-employment checks prior to appointment to this role.

Applications must be submitted online. Instructions can be found at http://hr.unsw.adfa.edu.au/_form/index.php


Position 2: PhD Scholarship on Computational Models for Automatic Skill Assessment (Stipend $24,653 per annum tax free)

Note: International Students will need to apply for a tuition fees scholarship

[CLOSING DATE: 1-February-2014]

School of Engineering and Information Technology
University of New South Wales - Canberra Campus

The ideal candidate for this PhD scholarship

You must have either a Bachelor Degree with first class honour or equivalent; or a Bachelor with a Master Degree and Publication records in Cognitive Science, Computer Science, or Mathematics. You must have the flexibility to work on a multi-disciplinary project. This project will have elements of Cognitive Science, data mining and Mathematics.

This project focuses on designing behavioural data mining algorithms to infer the skill set of a player during the interaction with a human or a machine while performing a task. The exact task will be determined at the start of the candidature. The candidate needs to balance passion and ambition with determination to produce high quality thesis as evidenced by high quality publications.

Our Team

The University of New South Wales (UNSW) is in the top 100 universities internationally and one of the top 8 research intensive universities (known as GO8) in Australia. The Canberra campus is located at the Australian Defence Force Academy in Canberra, the Capital of Australia. We enjoy a highly multi-cultural environment with students and staff from all over the world. We respect diversity and merit-based selection
The School of Engineering and Information Technology (SEIT) has more than 170 PhD students. SEIT hosts one of the largest groups in Australia working on and using computational intelligence techniques. The team for this project is a small team within the large group. We enjoy working at the interface between different fields of science. We complement each other expertise to produce innovative solutions to the problem under investigation. We transformed fundamental research to significant practical solutions for air traffic control and capability development. We enjoy blue sky research that asks the right question and asks the question right. Our success is internationally recognized with friends and collaborators across the globe.

For additional information about this position, please contact Prof. Hussein Abbass on (02) 6268 8158 or email h.abbass at adfa.edu.au<mailto:h.abbass at adfa.edu.au> or hussein.abbass at gmail.com<mailto:hussein.abbass at gmail.com>


Prof. Hussein Abbass (FORS, FACS, AFAIM, GAICD, SMIEEE, MATCA) | School of Engineering and Information Technology | University of New South Wales - Canberra at the Australian Defence Force Academy Campus | Canberra, ACT 2600, Australia | Tel: +61-2-62688158<tel:+61-2-62688158> | Fax: +61-2-62688276| www: http://www.husseinabbass.net/


________________________________
THE UNIVERSITY OF NEW SOUTH WALES
UNSW CANBERRA AT THE AUSTRALIAN DEFENCE FORCE ACADEMY
PO Box 7916, CANBERRA BC 2610, Australia
Web: http://unsw.adfa.edu.au

CRICOS Provider no. 00100G

This message is intended for the addressee named and may contain confidential information. If you are not the intended recipient, please delete it and notify the sender. Views expressed in this message are those of the individual sender and are not necessarily the views of UNSW.
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From sam.devlin at york.ac.uk  Mon Dec  9 08:45:53 2013
From: sam.devlin at york.ac.uk (Sam Devlin)
Date: Mon, 9 Dec 2013 13:45:53 +0000
Subject: Connectionists: CFP: Adaptive and Learning Agents (ALA) Workshop @
	AAMAS 2014
Message-ID: <CABbx+jw7czjQtrcr_nohSAemTimfi_8beF280cmHQCt7H=+TNw@mail.gmail.com>

First Call For Papers: Adaptive and Learning Agents Workshop 2014 (Paris,
France)
We apologize if you receive more than one copy. Please share with
colleagues and students.

Paper deadline: JANUARY 22, 2014

ALA 2014: Adaptive and Learning Agents Workshop held at AAMAS 2014 (Paris,
France). The ALA workshop has a long and successful history and is now in
its sixth edition. The workshop is a merger of European ALAMAS and the
American ALAg series which is usually held at AAMAS. Details may be found
on the workshop web site:

http://swarmlab.unimaas.nl/ala2014/

Adaptive and Learning Agents, particularly those in a multi-agent setting
are becoming more and more prominent as the sheer size and complexity of
many real world systems grows How to adaptively control, coordinate and
optimize such systems is an emerging multi-disciplinary 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 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 behaviour 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://www.easychair.org/conferences/?conf=ala20140
Submissions may be up to 8 pages in the ACM proceedings format (i.e., the
same as AAMAS papers in the main conference track).
Accepted work will be allocated time for oral presentation during the one
day workshop.
Papers accepted at the workshop will also be eligible for inclusion in a
special issue published after the workshop.

*******************************************************
* Submission Deadline:  January 22, 2014
* Notification of acceptance:   February 19, 2014
* Camera-ready copies:  March 10, 2014
* Workshop:             May 5 or 6, 2014
*******************************************************


-- 
Sam Devlin
Research Associate
York Centre for Complex Systems Analysis
The University of York
Deramore Lane, York, YO10 5GH

w: http://www.cs.york.ac.uk/~devlin/

Disclaimer: http://www.york.ac.uk/docs/disclaimer/email.htm
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From avellido at lsi.upc.edu  Mon Dec  9 12:39:47 2013
From: avellido at lsi.upc.edu (Alfredo Vellido)
Date: Mon, 09 Dec 2013 18:39:47 +0100
Subject: Connectionists: NEW DEADLINE 15th Jan.: IEEE BHI'14: Special
 session "Towards interpretable ML applications in biomedicine and health"
In-Reply-To: <529893FB.3040304@lsi.upc.edu>
References: <529893FB.3040304@lsi.upc.edu>
Message-ID: <52A60063.50305@lsi.upc.edu>

*** Apologies for cross-posting ***

Dear colleagues,
We have an UPDATED DEADLINE (*15th of January*) for the special session:
"Towards interpretable Machine Learning applications in biomedicine and health" at:

IEEE-EMBS International Conference on Biomedical and Health Informatics 2014 (IEEE BHI'2014)
  
Valencia, Spain 1-4 June 2014
Web site:http://bhi.embs.org/2014
================================

Important Dates
Deadline for paper submission: 15th January 2014
Notification of acceptance: 3rd March 2014.
Deadline for camera-ready papers: 21st March 2014.

Session goal
===========
The practical use of machine learning and computational intelligence algorithms in biomedicine and health is sometimes hampered by the limited interpretability of the analytical models, without which it is difficult to validate against domain expertise and to explain the extracted knowledge to the user. Model interpretability, which is a problem that extends to all machine learning fields (classification, prediction, clustering, etc.), is paramount in those application domains.
This special session expects to make contributions on interpretable Machine Learning models: both basic methodology for the interpretation of efficient non-linear models and practical applications in biomedicine and health are welcome.

Topics of Interest
Topics of interest include, but are not restricted to:
.    Interpretation of non-linear models, including SVMs and other kernel methods.
.    Deep learning.
.    Inductive learning, including rule generation from data and interpretation of random forests and tree bagging.
.    Graphical models and structure finding.
.    Manifolds for nonlinear dimensionality reduction.
.    Data visualization.
.    Practical applications in biomedicine and health to extract knowledge from Machine Learning models.

Session format and submission
The session will take place during the IEEE BHI 2014 Conference. Only papers in English will be accepted. All the papers will go through the normal conference reviewing process. Final papers are limited to 4 pages and must follow the conference instructions as described in the conference website (http://bhi.embs.org/2014/authors/). The session will consist of a limited number of paper presentations. A separate submission procedure has been established for this special session. To submit a paper to this session, a special code is required for paper upload.
  
To submit a paper for this special session
- Click Submit a contribution to BHI 2014 athttps://embs.papercept.net/conferences/scripts/start.pl
- Click Submit of the "Special Session Paper" row
- Enter Code 7g259 and complete the rest of the form with the information of your contribution
  
Looking forward to seeing you in Valencia!

Jos? D. Mart?n, Universitat de Val?ncia (Spain)
Alfredo Vellido, Universitat Polit?cnica de Catalunya (Spain)
Paulo J. G. Lisboa, Liverpool John Moores University (UK)



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From dchau at cs.cmu.edu  Tue Dec 10 01:55:13 2013
From: dchau at cs.cmu.edu (Polo Chau)
Date: Tue, 10 Dec 2013 00:55:13 -0600
Subject: Connectionists: KDD 2014 Call for Papers
Message-ID: <68B877BC-098B-4E37-9354-B2D362EB6B85@cs.cmu.edu>

* * * KDD 2014 Call for Papers * * *
August 24-27, New York City, USA
http://www.kdd.org/kdd2014/

Submissions are solicited for the 20th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD), an interdisciplinary
conference that brings together researchers and practitioners from all
aspects of data mining, knowledge discovery, and large-scale data
analytics. The conference is a highly selective meeting that includes
oral and poster presentations of refereed papers as well as panel
discussions and invited talks by the leading academic and industrial
experts. This year, we have a special theme, Data Mining for Social
Good, which will highlight how the work of data analytics researchers
and practitioners in contributing towards social good as well as how
these high impact, social problems provide a rich set of challenges for
KDD researchers to work on. KDD 2014 will be held August 24-27 2014 in
New York, USA. The conference will start with workshops and tutorials
on August 24, followed by the main conference (August 25-27).


----- Key dates -----
 * Abstract submission    : Thursday, February 13, 2014, 11:59pm PST
 * Full paper submission  : Friday, February 21, 2014, 11:59pm PST
 * Acceptance notification: Monday, May 12, 2014


----- Submission website -----
https://cmt.research.microsoft.com/KDD2014/


----- Reviewing -----
As per KDD tradition, reviews are not double-blind, and
author names and affiliations should be listed. Authors should consult
the conference website at http://www.kdd.org/kdd2014/ for full
details regarding paper preparation and submission guidelines.


----- Evaluation Criteria -----
Submitted papers will be assessed based on their novelty, technical
quality, potential impact, and clarity. For papers that rely heavily on
empirical evaluations, the experimental methods and results should be
clear, well executed, and repeatable. Authors are strongly encouraged
to make data and code publicly available whenever possible.


----- Dual Submission Policy -----
Papers submitted to KDD should be original work and substantively
different from papers that have been previously published or are under
review in a journal or another conference/workshop. Accepted papers
will be published in the conference proceedings by ACM and also appear
in the ACM Digital Library.


----- Submission Instructions -----
All submissions will be made electronically, in PDF format. Papers are
limited to 10 pages, including references, diagrams, and appendices.
The format is the standard double-column ACM Tighter Alternate Style
(http://www.acm.org/sigs/publications/proceedings-templates). Please
refer to the complete submission and formatting instructions on the
conference website for further details (http://www.kdd.org/kdd2014/).


----- Open Access -----
Accepted KDD papers will be made freely available via the ACM Digital
Library platform two weeks before the conference. The free access will
end on the first day of the next KDD conference. This free availability
period will not only facilitate easy access to the proceedings by
conference attendees, but also enable the community at large to
experience the excitement of learning about the latest developments
being presented at the KDD conference.


----- Tracks -----
KDD is a dual track conference hosting both a research track and an
industry & government track. These two tracks are quite distinct in
scope and evaluation criteria. Papers can therefore only be submitted
to one track and will only be reviewed in the track the paper is
submitted to. Authors are encouraged to carefully read the following
and choose an appropriate track for their submissions.


----- Research Track -----
We invite submission of papers describing innovative research on all
aspects of knowledge discovery and data mining. Papers emphasizing
theoretical foundations are particularly encouraged, as are novel
modeling and algorithmic approaches to specific data mining problems in
scientific, business, medical, and engineering applications. Visionary
papers on new and emerging topics are also welcome. Authors are
explicitly discouraged from submitting papers that contain only
incremental results and that do not provide significant advances over
existing approaches. Application oriented papers that make innovative
technical contributions to research are also welcome.

Papers are solicited in all areas of data mining, knowledge discovery,
and large-scale data analytics, including, but not limited to:

 * Algorithms: 
   Graph and link mining, rule and pattern mining, web mining,
   dimensionality reduction and manifold learning, combinatorial
   optimization, relational and structured learning, matrix and tensor
   methods, classification and regression methods, semi-supervised
   learning, and unsupervised learning and clustering.

 * Applications: 
   innovative applications that use data mining, including systems for
   social network analysis, recommender systems, mining sequences,
   time series analysis, online advertising, bioinformatics, systems
   biology, text/web analysis, mining temporal and spatial data, and
   multimedia processing.

 * Big Data: 
   Efficient and distributed data mining platforms and algorithms,
   systems for large-scale data analytics of textual and graph data,
   large-scale machine learning systems, distributed computing (cloud,
   map-reduce, MPI), large-scale optimization, and novel statistical
   techniques for big data.

 * Data mining for social good: 
   Novel algorithms and applications of data mining to societal
   problems is especially encouraged. (For deployment of existing
   algorithms consider the Industry/Govt. track.) Topics include:
   public policy, sustainability, climate change, medicine and health,
   education, transportation, biodiversity and energy.

 * Foundations of data mining: 
   Data mining methodology, data mining model selection,
   visualization, asymptotic analysis, information theory, and
   security and privacy.


----- Industry and Government Track -----
We invite submissions describing implementations of data
mining/analytics/big data/data science systems in industry, government,
or non-profit settings. Our primary emphasis is on papers that advance
the understanding of, and show how to deal with, practical issues
related to deploying analytics technologies. This track also highlights
new research challenges motivated by analytics and data mining
applications in the real world. These applications can be in any field
including, but not limited to e-commerce, medicine, healthcare,
defense, public policy, engineering, law, manufacturing,
telecommunications, and government. This year, we are highlighting a
special theme at KDD, highlighting data science efforts for social
good. We highly encourage submissions that are focused on that theme,
and describe data science work being done in areas such as education,
sustainability, healthcare, community development, and public safety.

Submitted papers will go through a competitive peer review process. The
Industry & Government track is distinct from the Research Track in that
submissions solve real-world problems and focus on systems that are
deployed or are in the process of being deployed.  Submissions must
clearly identify one of the following three areas they fall into:
"deployed", "discovery", or "emerging".

The criteria for submissions in each category is as follows:

* Deployed: 
  Must describe deployment of a system that solves a non-trivial
  real-world problem. The focus should be on describing the problem,
  its significance, decisions and tradeoffs made when making design
  choices for the solution, deployment challenges and lessons learned.

* Discovery: 
  Must include results that are discoveries with demonstrable value to
  an industry or government organization. This discovered knowledge
  must be "externally validated" as interesting and useful; it can not
  simply be a model that has better performance on some traditional
  evaluation metrics such as accuracy or area under the curve. A new
  scientific discovery enabled by the use of data mining techniques is
  an example of what this category will include.

* Emerging: 
  Submissions do not have to be deployed but must have clear
  applications to Industry/Government to distinguish them from KDD
  research papers. They may also provide insight into issues and
  factors that affect the successful use and deployment of Data Mining
  and Analytics. Papers that describe enabling infrastructure for
  large-scale deployment of Data Mining and analytics techniques also
  fall in this category.


On behalf of the KDD 2014 organizers,

Jure Leskovec (Stanford University)
Wei Wang (UCLA)
 Research Program Co-Chairs
 research-chairs at kdd2014.org

Rayid Ghani (Univerisity of Chicago, Edgeflip)
Prem Melville (Social Alpha)
Brian Dalessandro (Dstillery)
Paul Bradley (MethodCare)
 Industry and Government Program Co-Chairs
 industry-chairs at kdd2014.org

-----
KDD 2014 Publicity Chair:
Polo Chau
Assistant Professor
College of Computing
Georgia Tech

polo at gatech.edu
http://www.cc.gatech.edu/~dchau/







From marcel.van.gerven at gmail.com  Tue Dec 10 03:04:10 2013
From: marcel.van.gerven at gmail.com (Marcel van Gerven)
Date: Tue, 10 Dec 2013 09:04:10 +0100
Subject: Connectionists: PRNI call for papers
Message-ID: <A854DB77-47B8-41B5-90B8-5D803E3068C2@gmail.com>

FIRST CALL FOR PAPERS

4th International Workshop on Pattern Recognition in NeuroImaging (PRNI 2014)

June 4-6 2014, Max Planck Institute for Intelligent Systems, T?bingen, Germany

Website: http://www.prni.org

Multivariate analysis of neuroimaging data has gained ground very rapidly in the community over the past few years, leading to impressive results in cognitive and clinical neuroscience. Pattern recognition and machine learning conferences regularly feature a neuroimaging workshop, while neuroscientific meetings dedicate sessions to new approaches to neural data analysis. Thus, a rich two-way flow has been established between disciplines. It is the goal of the 4th International Workshop on Pattern Recognition in NeuroImaging to continue facilitating exchange of ideas between scientific communities, with a particular interest in new approaches to the interpretation of neural data driven by new developments in pattern recognition and machine learning.

TOPICS OF INTEREST

PRNI welcomes original papers on multivariate analysis of neuroimaging data, using invasive and non-invasive imaging modalities, including but not limited to the following topics:

* Learning from neuroimaging data
	- Classification algorithms for brain-state decoding
	- Optimisation and regularisation
	- Bayesian analysis of neuroimaging data
	- Connectivity and causal inference
	- Combination of different data modalities
	- Efficient algorithms for large-scale data analysis

* Interpretability of models and results
	- High-dimensional data visualisation
	- Multivariate and multiple hypothesis testing
	- Summarisation/presentation of inference results

* Applications
	- Disease diagnosis and prognosis
	- Real-time decoding of brain states
	- Analysis of resting-state and task-based data

KEYNOTE SPEAKERS

John-Dylan Haynes
Klaus-Robert M?ller
Russ Poldrack

SUBMISSION GUIDELINES

Authors should prepare full papers with a maximum length of 4 pages (double-column, IEEE style, PDF) for review. Reviews will be double-blind, i.e. submissions have to be anonymized.

PROCEEDINGS

Proceedings will be published by Conference Publishing Services in electronic format. They will be submitted for inclusion in IEEExplore and IEEE CS Digital Library online repositories, and submitted for indexing in IET INSPEC, EI Compendex (Elsevier), Thomson ISI, and others.

BEST STUDENT PAPER AWARD

A small number of papers will be selected for the Best Student Paper Award. To be eligible the paper?s first author must be a student, and the student must agree to present the paper at the workshop. Awardees will receive a travel allowance.

IMPORTANT DATES

Paper submission deadline: 7th of March, 2014
Acceptance notification: 4th of April, 2014
Workshop: June 4-6, 2014

VENUE

The workshop will be held on the campus of the Max Planck Institute in T?bingen, Germany. T?bingen is a picturesque medieval university town, and can easily be reached by public transportation from Stuttgart airport (STR). Accommodation is available on or close to campus. A pre-conference barbecue will be held on June 3, 2014.

ORGANIZATION

General Chair: 
Moritz Grosse-Wentrup (MPI for Intelligent Systems, T?bingen, Germany)

Program Chairs:
Marcel van Gerven (Donders Institute for Brain, Cognition and Behaviour, Netherlands) & Nikolaos Koutsouleris (LMU Munich, Germany)

Steering committee:
Jonas Richiardi, Dimitri Van De Ville, Seong-Whan Lee, Yuki Kamitani, Janaina Mourao-
Miranda, Christos Davatsikos, Ga?l Varoquaux

ENDORSEMENTS

PRNI 2014 is an official satellite meeting of the Organization for Human Brain Mapping and an endorsed event of the Medical Image Computing and Computer Assisted Intervention Society.
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From jaumebp at gmail.com  Tue Dec 10 07:38:40 2013
From: jaumebp at gmail.com (Jaume Bacardit)
Date: Tue, 10 Dec 2013 12:38:40 +0000
Subject: Connectionists: CFP: Evolutionary Machine Learning track at
	GECCO-2014
Message-ID: <52A70B50.3070103@gmail.com>

** Apologies for multiple postings **

***********************************************************************
**                        CALL FOR PAPERS                            **
** 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO-2014) **
**              Evolutionary Machine Learning track                  **
**           July 12-16, 2014, Vancouver, BC, Canada                 **
**                     Organized by ACM SIGEVO                       **
**                http://www.sigevo.org/gecco-2014                   **
***********************************************************************

You are invited to plan your participation in the Genetic and 
Evolutionary Computation Conference (GECCO 2014). This conference will 
present the latest high-quality results in genetic and evolutionary 
computation.

** Important dates **

* Abstract submission: January 15, 2014
* Submission of full papers: January 29, 2014
* Notification of paper acceptance: March 12, 2014
* Camera ready submission: April 14, 2014
* Conference: July 12-16, 2014

** Call for Papers: Evolutionary Machine Learning Track **

http://www.sigevo.org/gecco-2014/organizers-tracks.html#eml

The Evolutionary Machine Learning (EML) track at GECCO covers all 
advances in theory and application of evolutionary computation methods 
to Machine Learning (ML) problems. ML presents an array of paradigms -- 
unsupervised, semi-supervised, supervised, and reinforcement learning -- 
which frame a wide range of clustering, classification, regression, 
prediction and control tasks.

The literature shows that evolutionary methods can tackle many different 
tasks within the ML context:
- addressing subproblems of ML e.g. feature selection and construction
- optimising parameters of ML methods, a.k.a. hyper-parameter tuning
- as learning methods for classification, regression or control tasks
- as meta-learners which adapt base learners
    * evolving the structure and weights of neural networks
    * evolving the data base and rule base in genetic fuzzy systems
    * evolving ensembles of base learners

The global search performed by evolutionary methods can complement the 
local search of non-evolutionary methods and combinations of the two are 
particularly welcome.

Some of the main EML subfields are:
- Learning Classifier Systems (LCS) are rule-based systems introduced by 
John Holland in the 1970s. LCSs are one of the most active and 
best-developed forms of EML and we welcome all work on them.
- Hyper-parameter tuning with evolutionary methods.
- Genetic Programming (GP) when applied to machine learning tasks (as 
opposed to function optimisation).
- Evolutionary ensembles, in which evolution generates a set of learners 
which jointly solve problems.
- Evolving neural networks or Neuroevolution when applied to ML tasks.

In addition we encourage submissions including but not limited to the 
following:

1. Theoretical advances
- Theoretical analysis of mechanisms and systems
- Identification and modeling of learning and scalability bounds
- Connections and combinations with machine learning theory
- Analysis and robustness in stochastic, noisy, or non-stationary 
environments
- Efficient algorithms

2. Modification of algorithms and new algorithms
- Evolutionary rule learning, including but not limited to:
    * Michigan style (SCS, NewBoole, EpiCS, ZCS, XCS, UCS...)
    * Pittsburgh style (GABIL, GIL, COGIN, REGAL, GA-Miner, GALE, MOLCS, 
GAssist...)
    * Anticipatory LCS (ACS, ACS2, XACS, YACS, MACS...)
    * Iterative Rule Learning Approach (SIA, HIDER, NAX, BioHEL, ...)
- Genetic fuzzy systems
- Evolution of Neural Networks
- Evolution of ensemble systems
- Other hybrids combining evolutionary techniques with other machine 
learning techniques

3. Issues in EML
- Competent operator design and implementation
- Encapsulation and niching techniques
- Hierarchical architectures
- (Sub-)Structure (building block) identification and linkage learning
- Knowledge representations, extraction and inference
- Data sampling
- Scalability

4. Applications
- Data mining
- Bioinformatics and life sciences
- Rapid application development frameworks for EML
- Robotics, engineering, hardware/software design, and control
- Cognitive systems and cognitive modeling
- Dynamic environments, time series and sequence learning
- Artificial Life
- Economic modelling
- Network security
- Other kinds of real-world ML applications

5. Related Activities
- Visualisation of all aspects of EML (performance, final solutions, 
evolution of the population)
- Platforms for EML, e.g. GPGPUs
- Competitive performance, e.g. EML performance in Competitions and Awards
- Education and dissemination of EML, e.g. software for teaching and 
exploring aspects of EML.


** Submissions **

Abstracts need to be submitted by January 15, 2014. Full papers are due 
by the **__non-extensible deadline__** of January 29, 2014. Detailed 
submission instructions can be found at http://www.sigevo.org/gecco-2014.

Each paper submitted to GECCO will be rigorously evaluated in a 
double-blind review process. The evaluation is on a per-track basis, 
ensuring high interest and expertise of the reviewers. Review criteria 
include significance of the work, technical soundness, novelty, clarity, 
writing quality, and sufficiency of information to permit replication, 
if applicable. All accepted papers will be published in the ACM Digital 
Library.

GECCO allows submission of material that is substantially similar to a 
paper being submitted contemporaneously for review by another 
conference. However, if the submitted paper is accepted by GECCO, the 
authors agree that substantially the same material will not be published 
by another conference. Material may later be revised and submitted to a 
journal, if permitted by the journal.

Researchers are invited to submit abstracts of their work recently 
published in top-tier conferences and journals to the new Hot Off the 
Press track. Contributions will be selected based on quality and 
interest to the GECCO community.

** Track Chairs **

- Jaume Bacardit, jaume.bacardit at newcastle.ac.uk
- Tom Schaul, schaul at gmail.com



From igel at diku.dk  Tue Dec 10 10:26:38 2013
From: igel at diku.dk (Christian Igel)
Date: Tue, 10 Dec 2013 16:26:38 +0100
Subject: Connectionists: Assistant Professorship in Machine Learning at
	University of Copenhagen
Message-ID: <896BB6D9-116C-4313-B349-8D745788D286@diku.dk>

The Department of Computer Science (http://www.diku.dk/english) at the University of Copenhagen invites applications for an assistant professorship in machine learning.

The applicant should have significant research experience in the area of machine learning, which must have been demonstrated by having published in JMLR or PAMI or the proceedings of ICML, NIPS, COLT, or AISTATS. The applicant should have experience both in experimental as well as theoretical work. The research area of large-scale data analysis is of particular interest. 

The deadline for applications is February 2, 2014.
Visit http://www.diku.dk/ominstituttet/ledige_stillinger/assistant-professor-in-machine-learning for further information and the online application form, 
and see http://image.diku.dk/MLLab for the homepage of DIKU's Machine Learning Lab.

The University of Copenhagen wishes its staff to reflect the diversity of society and thus welcomes applications from qualified candidates regardless of personal background.
Inquiries about the position can be made to Martin Zachariasen, martinz at diku.dk.

If you are currently at NIPS, feel free to ask Aasa Feragen (aasa at diku.dk) for more information about DIKU and the position.

--
Christian Igel, Department of Computer Science, University of Copenhagen, http://image.diku.dk/igel



From akozlov at nada.kth.se  Tue Dec 10 12:12:17 2013
From: akozlov at nada.kth.se (akozlov at nada.kth.se)
Date: Tue, 10 Dec 2013 18:12:17 +0100 (CET)
Subject: Connectionists: PhD positions in Computational Neuroscience
Message-ID: <alpine.LNX.2.02.1312101810570.13768@burka.nada.kth.se>

REMINDER: deadline for the application is December 15, 2013.


The Erasmus Mundus Joint Doctoral Program "EuroSPIN" (European Study 
Programme in Neuroinformatics) is inviting applications from students 
having a solid background in mathematics, physics, computer sciences, 
biochemistry or neuroscience (on a master level or equivalent), in all 
cases with computer science skills. Documented interest in research like 
activities (e.g. demonstrated in the form of master thesis work, or 
participation in research related activities) is of large importance. Also 
fluency in English is requested.

Four partners participate:

- Bernstein Center Freiburg, Germany
- KTH Royal Institute of Technology, Sweden
- National Centre for Biological Science, India
- University of Edinburgh (UoE), UK

They are all research leaders in the Neuroinformatics field, but they have
complementary strengths.

Each student will spend most of the time at two of the partner 
universities, and also receive a joint (or double) PhD degree following a 
successful completion of the studies. The mobility periods, as well as the 
courses a student will follow, are tailored individually based on: a) the 
PhD students background; b) which constellations of partners that are 
involved, as well as c) the specific research project. During the PhD 
period each student has one main supervisor from each of the two 
universities that grant the PhD degree.

There are excellent scholarship opportunities for students accepted to an 
Erasmus Mundus Joint Doctorate programme. An employment contract will be 
given to all selected PhD students during the study time, which is 4 
years.

If you are interested, go to our webpage: http://www.kth.se/eurospin

If you have questions, contact us at <mailto:mundus-eurospin at kth.se>

EuroSPIN Coordinators,
Stockholm, SWEDEN.

From ecai2014 at guarant.cz  Wed Dec 11 05:14:57 2013
From: ecai2014 at guarant.cz (ecai2014)
Date: Wed, 11 Dec 2013 10:14:57 +0000
Subject: Connectionists: ECAI 2014 workshops / second call for papers
Message-ID: <a4603934516f45ecaed3cae7eb5117ed@GUARANT-EX.guarant.ad>

ECAI'14 Second Call for Papers

The Twenty-first European Conference on Artificial Intelligence
18-22 August 2014, Prague, Czech Republic
http://www.ecai2014.org

The ECAI 2014 Organizing Committee invites proposals for workshops to be held in conjunction with the conference. The workshops will be scheduled on August 18 and 19, 2013.

Proposals by all members of the international AI community are welcome. There is no restriction regarding topics, as long as there is a clear relevance to ECAI. We prefer a workshop programme that is as varied as possible.

Most workshops will follow the classical format of presentations of peer-reviewed papers followed by discussion, but other formats (e.g., AI competitions) and entirely new ideas are also welcome.  Whatever the format, all workshops should be interactive events and ample time should be allocated to discussion. The typical duration for a workshop is one full day, but two-day or shorter workshops can also be accommodated.

If you are considering to propose a workshop or if you have any questions, please do not hesitate to get in touch with the ECAI-2014 Workshop Chairs, Marina De Vos (mdv at cs.bath.ac.uk<mailto:mdv at cs.bath.ac.uk>) and Karl Tuyls (k.tuyls at liverpool.ac.uk<mailto:k.tuyls at liverpool.ac.uk>).

The deadline for submission of a workshop proposal is 12 January 2014.

Detailed submission instructions and further information can be found on http://www.ecai2014.org/

ECAI Workshop Chairs
Marina De Vos and Karl Tuyls


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From andreas.wichert at ist.utl.pt  Wed Dec 11 03:45:07 2013
From: andreas.wichert at ist.utl.pt (Andrzej Wichert)
Date: Wed, 11 Dec 2013 08:45:07 +0000
Subject: Connectionists: New book on Quantum Artificial Intelligence
Message-ID: <7334ABA2-9F76-44B0-87EE-30841AE2B49A@ist.utl.pt>

Dear All,

Recently a new book on Principles of Quantum Artificial Intelligence was published from World Scientific, 

http://www.worldscientific.com/worldscibooks/10.1142/8980

Maybe it is of some interest to you.

Best Wishes,
Andreas Wichert
---------------------------------------------------------------------------------------------------
Prof. Auxiliar Andreas Wichert   
http://web.ist.utl.pt/~andreas.wichert/

Instituto Superior T?cnico - Universidade de Lisboa
Campus IST-Taguspark 
Avenida Professor Cavaco Silva                 Phone: +351  214233231
2780-990 Porto Salvo, Portugal




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From chuang at ischool.berkeley.edu  Wed Dec 11 08:09:26 2013
From: chuang at ischool.berkeley.edu (John Chuang)
Date: Wed, 11 Dec 2013 05:09:26 -0800
Subject: Connectionists: Faculty Position in Information Organization at UC
	Berkeley
Message-ID: <CADdUeZycTJktTbjnJp+-i03uFz0sS0jpa1_ADfCBqG2cyyvSAQ@mail.gmail.com>

The School of Information at the University of California, Berkeley invites
applications for a tenured faculty position at the Full or Associate
Professor level, with an expected start date of July 2014, in the field of
Information Organization.

Candidates for this position should have a demonstrated record of research
in information organization and retrieval. This could include a focus on
one or more of the following areas: conceptual modeling of information
systems; computational approaches to cognition; semantic representation;
vocabulary and metadata design; classification and standardization;
category learning at scale; and practical computational processes for
analyzing information in both textual and non-textual formats.

A successful candidate will possess appropriate technical expertise and
research excellence, and be committed to working on issues related to
information and/or information system design and development in a
multidisciplinary setting. Relevant professional or industry experience,
including hands-on experience with large-scale collections, is also
desirable.

Qualifications include a doctoral degree or equivalent in a related
discipline (such as cognitive science, computer science, linguistics,
psychology) or professional field (information science, digital
humanities). The successful applicant will be expected to establish a high
quality research program and to teach both graduate courses in his/her area
of specialty as well as to provide service to the School and University.

The School of Information is the most recently formed school on the
Berkeley campus. We are a multidisciplinary professional school. Our
faculty members come from diverse fields, including political science,
sociology, economics, law, engineering, computer science, media arts and
design, and information science. We share a commitment to building a new
field of scholarship and practice that addresses the design of new genres
of information, information systems, and media, information policy and
ethics, and the relationships among information/ information systems and
individuals, organizations, and society.

Our master?s graduates are employed in corporations and start-ups as well
as government and non-profit organizations. Their jobs typically involve
information design and architecture, user-centered design, document
engineering, project management, consulting, web-based information
services, and information policy and science. Graduates of our Ph.D.
program have taken positions in places such as the Heinz School of Public
Policy and Management at Carnegie Mellon, the Berkman Center for Internet
and Society at Harvard, and Microsoft Research. We also offer undergraduate
courses in fields such as search engines, new media, and the history of
information.

Applications must include a cover letter, CV, select papers, short
statements of teaching and research interests, and contact information for
three references. Letters of recommendation will be solicited from the
references of the finalists. All letters will be treated as confidential
per University of California policy and California state law. Please
arrange for letters of recommendation to be uploaded directly by
recommenders. Please refer potential referees, including when letters are
provided via a third party (i.e., dossier service or career center), to the
UC Berkeley statement of confidentiality:
http://apo.chance.berkeley.edu/evalltr.html. Applications must be submitted
online before January 24, 2014, at:
https://aprecruit.berkeley.edu/apply/JPF00257. Questions may be sent to
dean at ischool.berkeley.edu.

The University of California, Berkeley is an Equal Opportunity, Affirmative
Action Employer. We are interested in candidates who will contribute to
diversity and equal opportunity in higher education through their teaching,
research, and service. UC Berkeley is committed to addressing the family
needs of faculty, including dual-career couples and single parents. For
more information see http://calcierge.berkeley.edu/.


--
John Chuang
UC Berkeley School of Information
http://ischool.berkeley.edu/~chuang/
--
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From maria.elena.giannaccini at brl.ac.uk  Fri Dec 13 05:46:19 2013
From: maria.elena.giannaccini at brl.ac.uk (Maria Elena Giannaccini)
Date: Fri, 13 Dec 2013 10:46:19 +0000
Subject: Connectionists: Call for Papers for HRI2014 Workshop on
 Experimenting in HRI for priming real world set-ups,
 innovations and products
Message-ID: <fb68efa97d.fa97dfb68e@brl.ac.uk>

CALL FOR PAPERS

=================================================================
HRI 2014 Workshop on Experimenting in HRI for priming real world
set-ups, innovations and products

URL: http://www.kontor46.eu/kontor46/HRI_2014_Workshop.html

Held in conjunction with HRI 2014 in Bielefeld, Germany:
http://humanrobotinteraction.org/2014
=================================================================


IMPORTANT DATES:
  * Submission deadline: Saturday, February 15, 2014
  * Notification: within one week from submission
  * Workshop: Monday, March 3, 2014


WORKSHOP DESCRIPTION:
Robotics is moving towards real world applications, beyond the well
structured environment of industrial robotics. In the world of assistant
robots and medical robots, Human-Robot Interactions are essential. Also
in emerging industrial scenarios there is need of the human in the loop.
Robotic companies are confronted with the lack of guidelines and of
standards on how the higher features of HRI may be safely incorporated.
Although the scientific research is burgeoning and worthy of praise, it
is clear from the produced evidence that the results are scattered and
not capable of giving a clear cut input to be easily taken up by
companies and standardization organizations like ISO and IEC. The
workshop is in line with the conference themes especially in the areas
of HRI for the integration of empirical findings into complex real-world
robot systems by focusing on three typical scenarios (industrial,
service and medical) to develop systematic approaches to benchmark and
evaluate experimental systems so that normative results can be realized
rapidly.
The present workshop has the aim of bringing together scientists,
representative of robotics companies and of standardization working
groups to foster discussion in the definition of experimental scenarios
and protocols in HRI, so to be able to prime real world set-ups and be
targeted to help realize the future needed robotic products.


TOPICS:
The workshop invites submissions describing original work, either
completed or still in progress, related to one or more of the following
topics:
  * Current status of ISO/IEC robot standardization activities
development and future directions in  HRI
  * Safety, physical contacts, technical aspects and limitations,
regulations influencing HRI design
  * Testing scenarios and protocols for HRI to produce normative
definitions and data to prime real world products
  * Role of Benchmarking and Robotics competition in advancing
standardised testing procedures
  * Robotics scientific community?s input to standardization bodies
  * Benchmarking: objectively and quantitatively evaluating robot
performance
  * Measuring autonomy or information metrics of intelligent systems
  * Scientific methods to study and quantitatively evaluate the
performance in affective and social robotics
  * Design guidelines and testing procedures for evidence-based HRI:
toward a consensus position paper


SUBMISSIONS:
Workshop contributions (abstracts, 2 pages) should be submitted via
e-mail in the ACM publication style to hri2014wks at kontor46.eu.
Submitted abstracts should conform to the HRI
2014 publication style; for templates and examples, follow the link:
http://humanrobotinteraction.org/2014/authors/full-papers/.

Notice of acceptance will be given within one week of submission, we aim
at giving a fast feedback. The workshop is intended for lively
discussion, therefore the accepted contributions will be presented as
posters.
A proposal for a special issue on the topic will be submitted in the
Journal of Social Robotics to document and extend the workshop discussions.


LOCATION:
HRI 2014 conference, Bielefeld, Germany.


WORKSHOP ORGANIZERS:
  * Gurvinder Virk (University of G?vle)
  * Paolo Barattini (Kontor46 sas)
  * Nicole Mirnig (University of Salzburg)
  * Maria Elena Giannaccini (University of the West of England)
  * Adriana Tapus (ENSTA - ParisTech)
  * Fabio Bonsignorio (Carlos III University)
  * Bjoern Matthias (ABB)
  * C. Woegerer & A. Pichler (PROFACTOR)


CONTACT:
  * Workshop Questions and Submissions (hri2014wks at kontor46.eu)
  * Maria Elena Giannaccini (maria.elena.giannaccini at brl.ac.uk)

----------------------------------------------------------------

Maria Elena Giannaccini
Marie Curie Early Stage Researcher (INTRO ITN), PhD candidate
Bristol Robotics Laboratory
University of the West of England
Bristol, BS16 1QY
United Kingdom




From thomas.j.palmeri at Vanderbilt.Edu  Thu Dec 12 16:01:12 2013
From: thomas.j.palmeri at Vanderbilt.Edu (Thomas Palmeri)
Date: Thu, 12 Dec 2013 15:01:12 -0600
Subject: Connectionists: postdoctoral fellowship at Vanderbilt University
Message-ID: <CECF7FF0.62EE5%thomas.j.palmeri@vanderbilt.edu>


Postdoctoral Position on Cognitive and Neural Modeling
Vanderbilt University

Applications are being considered for a postdoctoral fellow to join an
NEI-funded project on cognitive and neural modeling of perceptual decision
making and cognitive control with Thomas Palmeri, Jeffrey Schall, and Gordon
Logan at Vanderbilt University.



Candidates have opportunities for research combining human behavioral
experiments and monkey neurophysiological experiments with computational
modeling.


Candidates can hold a Ph.D. in psychology, neuroscience, computer science,
mathematics, engineering, or related disciplines. Start date is negotiable.
Salary will be based on NIH postdoctoral scale. Applicants should send a
cover letter with a brief research statement, a CV, and names and email
addresses of three references to:


Thomas Palmeri
thomas.j.palmeri at vanderbilt.edu
catlab.psy.vanderbilt.edu <http://catlab.psy.vanderbilt.edu/>

Gordon Logan
gordon.logan at vanderbilt.edu
www.psy.vanderbilt.edu/faculty/logan
<http://www.psy.vanderbilt.edu/faculty/logan>

Jeffrey Schall
jeffrey.d.schall at vanderbilt.edu
www.psy.vanderbilt.edu/faculty/schall/
<http://www.psy.vanderbilt.edu/faculty/schall/>

Department of Psychology
Vanderbilt Vision Research Center
Vanderbilt University
Nashville, TN 37240



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From belardinelli at informatik.uni-tuebingen.de  Wed Dec 11 16:15:38 2013
From: belardinelli at informatik.uni-tuebingen.de (Anna Belardinelli)
Date: Wed, 11 Dec 2013 22:15:38 +0100
Subject: Connectionists: KOGWIS2014 call for papers and symposia
Message-ID: <15265223-8F9F-459B-8D45-1586C80B1B65@informatik.uni-tuebingen.de>


Please consider to contribute to and/or forward to the appropriate groups the following conference:
==== FIRST CALL FOR PAPERS AND SYMPOSIA ====
*   KOGWIS 2014: HOW LANGUAGE AND BEHAVIOUR CONSTITUTE COGNITION 
 * 12th Biannual Conference of the German Society for Cognitive Science 
* 29th of September - 2nd of October 2014
* Submission deadline: 7 May 2014

* http://www.ccs.uni-tuebingen.de/kogwis14
===========================================

KogWis 2014 invites submissions of extended abstracts on current work in cognitive science. Generally *all topics related to cognitive science* are welcome. 
Contributions that address the focus of this meeting, that is, language and behaviour and the construction of cognition due to language and behaviour are particularly encouraged. 
Submissions will be sorted by topic and paradigms and will be independently reviewed. Notifications of acceptance will depend on the novelty of the research, the significance of the results, and the presentation of the work. 
Submissions will be published in the form of online conference proceedings. 
 
Submissions of extended abstracts should not exceed 4000 characters (including spaces, references, etc.). Additional figures may be included. The document should not exceed 4 pages in total.

Call for symposia:

Submissions are also invited for symposium proposals on specific themes in cognitive science.
Symposia should be interdisciplinary with 4-6 speakers who can offer different perspectives on the proposed topic.
KogWis cannot provide any financial support for participants, so all the costs need to be covered by the participants, including registration.
 
Submissions of extended abstracts should present the symposium theme along with moderator and speakers names and short summaries of the single contributions .  

The Organizing Committee:

General chair: Martin V. Butz
Local organizers: Anna Belardinelli, Elisabeth Hein and Jan Kneissler

-------------------------------------------
Anna Belardinelli, phD

Cognitive Modeling,
Department of Computer Science
University of T?bingen

http://www.wsi.uni-tuebingen.de/lehrstuehle/cognitive-modeling/staff/staff/anna-belardinelli.html

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From matus.uzak at gmail.com  Thu Dec 12 15:11:26 2013
From: matus.uzak at gmail.com (matus uzak)
Date: Thu, 12 Dec 2013 21:11:26 +0100
Subject: Connectionists: bnns 2.0 Released
Message-ID: <CAN3S_xRAnb0EXaCTmV7iVe+k04JzYk5B=zNaBSE4WEtGOeyYdg@mail.gmail.com>

Hi,

I would like to announce a new major release of bnns:
http://sourceforge.net/projects/bnns/

bnns is a research tool for interactive training of artificial neural
networks based on the Response Function Plots visualization method. It
enables users to simulate, visualize and interact in the learning process
of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like
the famous two-spirals task or classification of satellite image data.

Features:
- Reset of weights connected to a neuron
- Freeze/Unfreeze of weights connected to a neuron
- Basic support for scaling of RFPs, preview of RFP in its native size
- Preview of conflicts between output layer neurons
- Preview of error energy on output layer
- Preview of Training/Testing patterns
- Sigmoidal/Softmax activation on output layer
- Logging of MSE and of the sum of output layer responses
- Perl script to prepare bnns patterns from PGM data
- Perl script to prepare bnns patterns from Boston Remote Sensing Testbed
data
- Maintained User Manual

The aim of the project is to deliver a simple yet robust tool which would
help researchers and students to understand the knowledge representation
and the knowledge formation process in MLP type neural networks.

br,

Matus Uzak
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From jaakko.peltonen at aalto.fi  Wed Dec 11 15:02:15 2013
From: jaakko.peltonen at aalto.fi (Peltonen Jaakko)
Date: Wed, 11 Dec 2013 20:02:15 +0000
Subject: Connectionists: AISTATS: Call for late-breaking posters, DL Jan 24
Message-ID: <34678FBC663BDC47BAD0B96BB3FF28580167147E82@EXMDB01.org.aalto.fi>

==============================================================================
AISTATS 2014 Call for Late-breaking Posters
Seventeenth International Conference on Artificial Intelligence and Statistics
April 22 - 25, 2014, Reykjavik, Iceland
http://www.aistats.org

Colocated with a MLSS Machine Learning Summer School
==============================================================================

AISTATS is an interdisciplinary gathering of researchers at the intersection
of computer science, artificial intelligence, machine learning, statistics,
and related areas. Since its inception in 1985, the primary goal of AISTATS
has been to broaden research in these fields by promoting the exchange of
ideas among them. 

Some time at AISTATS will be set aside for "breaking news" posters having a
one-page abstract. These posters may report on ongoing or unpublished
projects, projects already published elsewhere, partially developed ideas,
negative results etc, and are meant as informal forums to encourage
discussion. Abstracts should summarize and highlight why the projects will be
of interest to the AISTATS community. The review process of the late-breaking
posters will be very light-touch and presentation at the Conference will not
lead to publication in the Proceedings. We encourage the submission of 
late-breaking posters at http://www.aistats.org

In brief:
- Electronic submission of one-page abstracts is required.
- Include authors names as the reviewing is not double blind.
- Accepted submissions will be presented as posters but will not be published. 
- The submission site will be open by 20 December.
- Submissions will be considered if received by 24 January, 2014, 23:59 UTC.
- Acceptance notifications will be emailed by February 11th.
- More details below and at http://www.aistats.org/submit_latebreaking_posters.php



Keynote and Tutorial Speakers:
------------------------------
Keynote Speakers: Peter Buhlmann (ETH Zurich), Andrew Gelman (Columbia
University), Michael I. Jordan (University of California, Berkeley)

Tutorial Speakers: Roderick Murray-Smith (University of Glasgow), Christian
P. Robert (Ceremade - Universite Paris-Dauphine), Havard Rue (Norwegian
University of Science and Technology)


Submission Requirements for Late-breaking Posters:
--------------------------------------------------
Electronic submission of one-page abstracts is required. The abstracts must
fit one A4/letter page with sufficient margins and at least 10 point font
size. The authors may use the proceedings track paper format, but this is not
required. Please remember to include authors names as the reviewing is not
double blind.

Abstracts will be lightly reviewed. Acceptance notifications will be emailed
by February 11th. These will be presented as posters at the conference but
will not be published. 

Solicited topics include, but are not limited to:

* Models and estimation: graphical models, causality, Gaussian processes,
  approximate inference, kernel methods, nonparametric models, statistical and
  computational learning theory, manifolds and embedding, sparsity and
  compressed sensing, ...
* Classification, regression, density estimation, unsupervised and
  semi-supervised learning, clustering, topic models, ...
* Structured prediction, relational learning, logic and probability
* Reinforcement learning, planning, control
* Game theory, no-regret learning, multi-agent systems
* Algorithms and architectures for high-performance computation in AI and
  statistics
* Software for and applications of AI and statistics

For a more detailed list of keywords, see http://www.aistats.org/keywords.php.

The submission site will be open by 20 December. See
http://www.aistats.org/submit_latebreaking_posters.php for details of the
submission site.


Submission Deadline:
--------------------
Submissions will be considered if received by 24 January, 2014, 23:59 UTC.
Acceptance notifications will be emailed by February 11th.

See the conference website for additional important dates:
http://www.aistats.org/dates.php. 


Colocated Events:
-----------------
A Machine Learning Summer School (MLSS) will be held after the conference
(April 25th-May 4th). April 25 will be an AISTATS/MLSS joint tutorial + MLSS
poster session day. The summer school features an exciting program with talks
from leading experts in the field, see http://mlss2014.hiit.fi for details.


Venue:
------
AISTATS 2014 will be held in Reykjavik, the capital of Iceland, in Grand Hotel
Reykjavik. Reykjavik and its environs offer a unique mix of culture and varied
nature, from glaciers to waterfalls to geysers and thermal pools. This is a
unique opportunity to spend an afternoon break at the famous Blue Lagoon
geothermal warm beach. Travel information available at http://www.aistats.org.


Program Chairs:
---------------
Samuel Kaski, Aalto University and University of Helsinki
Jukka Corander, University of Helsinki

Local Chair: Deon Garrett,  School of Computer Science, Reykjavik University
and Icelandic Institute for Intelligent Machines

Senior Program Committee:
-------------------------
Edoardo Airoldi, Harvard University; Florence d'Alche-Buc, Universite
d'Evry-Val d'Essonne; Cedric Archambeau, Amazon Peter Auer, University of
Leoben; Erik Aurell, KTH; Yoshua Bengio, Universite de Montreal; Carlo
Berzuini, University of Manchester; Jeff A. Bilmes, University of Washington;
Wray Buntine, NICTA; Lawrence Carin, Duke University; Guido Consonni,
Universita Cattolica del Sacro Cuore; Koby Crammer, The Technion; Emily B.
Fox, University of Washington; Mehmet Gonen, Sage Bionetworks; Aapo Hyvarinen,
University of Helsinki; Timo Koski, KTH; John Paisley, Columbia University;
Jan Peters, Technische Universitat Darmstadt; Volker Roth, Universitat Basel;
Yevgeny Seldin, Queensland University of Technology and UC Berkeley; Scott
Sisson, University of New South Wales; Suvrit Sra, Max-Planck Institute for
Intelligent Systems; Masashi Sugiyama, Tokyo Institute of Technology; Joe
Suzuki, Osaka University; Bill Triggs, Centre National de Recherche
Scientifique; Aki Vehtari, Aalto University; Jean-Philippe Vert, Mines
ParisTech and Curie Institute; Stephen Walker, University of Texas at Austin;
Kun Zhang, Max Planck Institute for Intelligent Systems

The European meetings of AISTATS are organized by the European Society for
Artificial Intelligence and Statistics.

============== for more information see http://www.aistats.org ===============


From jaakko.peltonen at aalto.fi  Wed Dec 11 15:01:08 2013
From: jaakko.peltonen at aalto.fi (Peltonen Jaakko)
Date: Wed, 11 Dec 2013 20:01:08 +0000
Subject: Connectionists: AISTATS: Call for highlight talks, DL Jan 24
Message-ID: <34678FBC663BDC47BAD0B96BB3FF28580167147E78@EXMDB01.org.aalto.fi>

==============================================================================
AISTATS 2014 Call for Highlight Talks
Seventeenth International Conference on Artificial Intelligence and Statistics
April 22 - 25, 2014, Reykjavik, Iceland
http://www.aistats.org

Colocated with a MLSS Machine Learning Summer School
==============================================================================

AISTATS is an interdisciplinary gathering of researchers at the intersection
of computer science, artificial intelligence, machine learning, statistics,
and related areas. Since its inception in 1985, the primary goal of AISTATS
has been to broaden research in these fields by promoting the exchange of
ideas among them. 

The Conference Programme will include highlight talks on recent high-impact
work on AISTATS themes. This is an opportunity to raise discussion and get
additional exposure to work already published in journals. Talks will be
selected based on one-page abstracts and the existing papers, and do not lead
to a paper in the Proceedings. We encourage submission of talks at 
www.aistats.org.

In brief:
- Submit papers published in peer-reviewed journals or accepted for publication 
  between 1 Jan 2012 - 24 Jan 2014.
- Accepted submissions presented as 25min talks (incl. 5min for discussion).
- The submission site will be open by 20 December.
- Submissions will be considered if received by 24 January, 2014, 23:59 UTC.
- Acceptance notifications will be emailed by February 11th.
- More details below, and at http://www.aistats.org/submit_highlight_talks.php



Keynote and Tutorial Speakers:
------------------------------
Keynote Speakers: Peter Buhlmann (ETH Zurich), Andrew Gelman (Columbia
University), Michael I. Jordan (University of California, Berkeley)

Tutorial Speakers: Roderick Murray-Smith (University of Glasgow), Christian
P. Robert (Ceremade - Universite Paris-Dauphine), Havard Rue (Norwegian
University of Science and Technology)


Submission Requirements for Highlight Talks:
--------------------------------------------
We accept submissions of papers published in peer-reviewed journals or
accepted for publication between 1 Jan 2012 - 24 Jan 2014. Accepted
submissions will be presented as 25 minute talks at the conference (including
5 minutes for discussion).

Papers in press are acceptable only if already available through the journal
web site. Note that presenters are encouraged to also present more recent
work, however, that work will not be considered in the decision. Up to 2
papers can be submitted as one single PDF if the authors intend to present
the results of multiple qualifying papers.

More recent work can be submitted for the late breaking posters track, see
http://www.aistats.org for instructions. 

Solicited topics include, but are not limited to:

* Models and estimation: graphical models, causality, Gaussian processes,
  approximate inference, kernel methods, nonparametric models, statistical and
  computational learning theory, manifolds and embedding, sparsity and
  compressed sensing, ...
* Classification, regression, density estimation, unsupervised and
  semi-supervised learning, clustering, topic models, ...
* Structured prediction, relational learning, logic and probability
* Reinforcement learning, planning, control
* Game theory, no-regret learning, multi-agent systems
* Algorithms and architectures for high-performance computation in AI and
  statistics
* Software for and applications of AI and statistics

For a more detailed list of keywords, see http://www.aistats.org/keywords.php.

The submission site will be open by 20 December. See
http://www.aistats.org/submit_highlight_talks.php for details of the
submission format and the submission site.


Review Criteria:
----------------
* relevance, significance, value and interest to the AISTATS audience
* timeliness of the topic
* presentability of the work for a large audience
* quality of oral presentations of presenter (if known)
* submissions with possibility to present more recent work will be viewed
  favourably 


Submission Deadline:
--------------------
Submissions will be considered if received by 24 January, 2014, 23:59 UTC.
Acceptance notifications will be emailed by February 11th.

See the conference website for additional important dates:
http://www.aistats.org/dates.php. 


Colocated Events:
-----------------
A Machine Learning Summer School (MLSS) will be held after the conference
(April 25th-May 4th). April 25 will be an AISTATS/MLSS joint tutorial + MLSS
poster session day. The summer school features an exciting program with talks
from leading experts in the field, see http://mlss2014.hiit.fi for details.


Venue:
------
AISTATS 2014 will be held in Reykjavik, the capital of Iceland, in Grand Hotel
Reykjavik. Reykjavik and its environs offer a unique mix of culture and varied
nature, from glaciers to waterfalls to geysers and thermal pools. This is a
unique opportunity to spend an afternoon break at the famous Blue Lagoon
geothermal warm beach. Travel information available at http://www.aistats.org.


Program Chairs:
---------------
Samuel Kaski, Aalto University and University of Helsinki
Jukka Corander, University of Helsinki

Local Chair: Deon Garrett,  School of Computer Science, Reykjavik University
and Icelandic Institute for Intelligent Machines

Senior Program Committee:
-------------------------
Edoardo Airoldi, Harvard University; Florence d'Alche-Buc, Universite
d'Evry-Val d'Essonne; Cedric Archambeau, Amazon Peter Auer, University of
Leoben; Erik Aurell, KTH; Yoshua Bengio, Universite de Montreal; Carlo
Berzuini, University of Manchester; Jeff A. Bilmes, University of Washington;
Wray Buntine, NICTA; Lawrence Carin, Duke University; Guido Consonni,
Universita Cattolica del Sacro Cuore; Koby Crammer, The Technion; Emily B.
Fox, University of Washington; Mehmet Gonen, Sage Bionetworks; Aapo Hyvarinen,
University of Helsinki; Timo Koski, KTH; John Paisley, Columbia University;
Jan Peters, Technische Universitat Darmstadt; Volker Roth, Universitat Basel;
Yevgeny Seldin, Queensland University of Technology and UC Berkeley; Scott
Sisson, University of New South Wales; Suvrit Sra, Max-Planck Institute for
Intelligent Systems; Masashi Sugiyama, Tokyo Institute of Technology; Joe
Suzuki, Osaka University; Bill Triggs, Centre National de Recherche
Scientifique; Aki Vehtari, Aalto University; Jean-Philippe Vert, Mines
ParisTech and Curie Institute; Stephen Walker, University of Texas at Austin;
Kun Zhang, Max Planck Institute for Intelligent Systems

The European meetings of AISTATS are organized by the European Society for
Artificial Intelligence and Statistics.

============== for more information see http://www.aistats.org ===============


From alessandra.sciutti at gmail.com  Sun Dec 15 12:21:55 2013
From: alessandra.sciutti at gmail.com (Alessandra Sciutti)
Date: Sun, 15 Dec 2013 18:21:55 +0100
Subject: Connectionists: WORKSHOP at HRI 2014 - HRI: a bridge between
	Robotics and Neuroscience
Message-ID: <52ade527.84010e0a.2a63.ffff9323@mx.google.com>

Apologies for cross-posting

 

=========================================================================

Workshop "HRI: a bridge between Robotics and Neuroscience", at HRI 2014,
Bielefeld, DE

=========================================================================

March 3, 2014

Submission deadline: January 13, 2014

Notification of acceptance: January 27, 2014

Website: http://http://www.macs.hw.ac.uk/~kl360/HRI2014W/
<http://http:/www.macs.hw.ac.uk/~kl360/HRI2014W/> 

=========================================================================

 

INVITED SPEAKERS: 

-----------------

 

Prof. Malinda Carpenter, University of St Andrews on research leave at Max
Planck Institute for Evolutionary Anthropology 

Prof. Luciano Fadiga, Italian Institute of Technology

Prof. Giulio Sandini, Italian Institute of Technology

Prof. Brian Scassellati, Yale University

 

A fundamental challenge for robotics is to transfer the human natural social
skills to the interaction with a robot. At the same time, neuroscience and
psychology are still investigating the mechanisms behind the development of
human-human interaction. HRI becomes therefore an ideal contact point for
these different disciplines, as the robot can join these two research
streams by serving different roles. From a robotics perspective, the study
of interaction is used to implement cognitive architectures and develop
cognitive models, which can then be tested in real world environments.

>From a neuroscientific perspective, robots could represent an ideal stimulus
to establish an interaction with human partners in a controlled manner and
make it possible studying quantitatively the behavioral and neural
underpinnings of both cognitive and physical interaction. Ideally, the
integration of these two approaches could lead to a positive loop: the
implementation of new cognitive architectures may raise new interesting
questions for neuroscientists, and the behavioral and neuroscientific
results of the human-robot interaction studies could validate or give new
inputs for robotics engineers. However, the integration of two different
disciplines is always difficult, as often even similar goals are masked by
difference in language or methodologies across fields. The aim of this
workshop will be to provide a venue for researchers of different disciplines
to discuss and present the possible point of contacts, to address the issues
and highlight the advantages of bridging the two disciplines in the context
of the study of interaction. 

 

LIST OF TOPICS

-----------------

 

- Human Robot Interaction

- Cognitive Models

- Development of Social Cognition

- Neural bases of Interaction

- Cognitive and Physical Interaction

- Social Signals

 

 

FORMAT AND SUBMISSIONS

---------------------

 

The workshop will consist of invited keynotes, time for discussions and will
also feature a poster session.

Prospective participants are invited to submit full papers (8 pages) or
short papers (2 pages). Submissions will be accepted in PDF format only,
using the HRI formatting guidelines and including author names. Authors
should send their papers to hri2014workshop at gmail.com. All submissions will
be peer-reviewed. Upon available time, selected contributions may have the
opportunity to be presented in the oral session. The other selected
contributions will be presented as posters during a dedicated session. 

Accepted publications will be published on our workshop web page. Depending
on the overall quality of the contributions, we might consider proposing a
Special Issue to journal in the near future.

Authors will have the option of opting out from including their reports in
the website. Information on the opt-out option will be provided along with
the acceptance notice for the papers.

 

In addition to the submission  participants have to answer one of the
following questions:

 

- Which outcomes should provide neuroscientific research to be useful to
robotics? And vice versa? Can descriptive results be enough or a modelling
is necessary for a positive communication to exist?

- How can robotics research contribute to/influence neuroscience and/or
psychology? Although there are many robotics studies inspired by evidences
obtained in neuroscience and/or psychology, the impact of robotics on
neuroscience or psychology is less evident, especially the modelling
research. What can roboticists do to cause a paradigm shift?

- Where the bridge between robotics and neuroscience is more useful, and
where is it not (or less)? E.g., very useful for social robotics, less
useful for algorithm design (or not?)

- How this bridge should be built? At the level of the single individual
(i.e. a person with multidisciplinary background), at the level of a group
(i.e., a group of people with different backgrounds), at the level of a
department (with different labs meeting once in a while) or a mix of the
previous?

 

Upon available time, those questions/answers will be used to "drive" a final
discussion.

 

IMPORTANT DATES

-------------

 

Submission deadline: January 13, 2014

Notification of acceptance: January 27, 2014

March 3, 2014, Workshop at HRI 2014

 

ORGANIZERS

----------

 

- Alessandra Sciutti

  Istituto Italiano di Tecnologia 

- Katrin Solveig Lohan

  Heriot-Watt University

- Yukie Nagai

  Osaka University 

  

 

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From Pierre.Bessiere at imag.fr  Sun Dec 15 12:41:09 2013
From: Pierre.Bessiere at imag.fr (=?iso-8859-1?Q?Pierre_Bessi=E8re?=)
Date: Sun, 15 Dec 2013 18:41:09 +0100
Subject: Connectionists: [New Book] Bayesian Programming
Message-ID: <AAFDDCC5-80C4-472A-A52A-03F96F330E03@imag.fr>

New Book : Bayesian Programming

CRC Press: http://www.crcpress.com/product/isbn/9781439880326

Features
	? Presents a new modeling methodology and inference algorithms for Bayesian programming
	? Explains how to build efficient Bayesian models
	? Addresses controversies, historical notes, epistemological debates, and tricky technical questions in a dedicated chapter separate from the main text
	? Encourages further research on new programming languages and specialized hardware for computing large-scale Bayesian inference problems
	? Offers an online Python package for running and modifying the Python program examples in the book

Summary

Probability as an Alternative to Boolean Logic
While logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data.

Decision-Making Tools and Methods for Incomplete and Uncertain Data
Emphasizing probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications. Written by the team who designed and implemented an efficient probabilistic inference engine to interpret Bayesian programs, the book offers many Python examples that are also available on a supplementary website together with an interpreter that allows readers to experiment with this new approach to programming.

Principles and Modeling 
Only requiring a basic foundation in mathematics, the first two parts of the book present a new methodology for building subjective probabilistic models. The authors introduce the principles of Bayesian programming and discuss good practices for probabilistic modeling. Numerous simple examples highlight the application of Bayesian modeling in different fields.

Formalism and Algorithms
The third part synthesizes existing work on Bayesian inference algorithms since an efficient Bayesian inference engine is needed to automate the probabilistic calculus in Bayesian programs. Many bibliographic references are included for readers who would like more details on the formalism of Bayesian programming, the main probabilistic models, general purpose algorithms for Bayesian inference, and learning problems.

FAQ / FAM
Along with a glossary, the fourth part contains answers to frequently asked questions and frequently argues matters. The authors compare Bayesian programming and possibility theories, discuss the computational complexity of Bayesian inference, cover the irreducibility of incompleteness, and address the subjectivist versus objectivist epistemology of probability.

The First Steps toward a Bayesian Computer
A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It encourages readers to explore emerging areas, such as bio-inspired computing, and develop new programming languages and hardware architectures.

_______________________________
Dr Pierre Bessi?re - CNRS
*****************************
LPPA - College de France

11 place Marcelin Berthelot
75231 Paris Cedex 05
FRANCE

Mail: Pierre.Bessiere at College-de-France.fr
Http://www.Bayesian-Programming.org
Skype: Pierre.Bessiere
_______________________________




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From cie.conference.series at gmail.com  Sun Dec 15 16:55:16 2013
From: cie.conference.series at gmail.com (CiE Conference Series)
Date: Sun, 15 Dec 2013 21:55:16 +0000 (GMT)
Subject: Connectionists: Subject: Subject: 2nd CFP:  CiE 2014: Language, Life,
 Limits - Budapest, Hungary, 23-27 June, 2014
Message-ID: <alpine.LNX.2.00.1312152148280.2097@csltarnold.site>

*******************************************************************
2nd CALL FOR PAPERS:

                   CiE 2014: Language, Life, Limits

                           Budapest, Hungary

                          June  23 - 27, 2014

                      http://cie2014.inf.elte.hu


IMPORTANT DATES:

Submission Deadline for LNCS:                   10 January 2014
Notification of authors:                         3 March 2014
Deadline for final revisions:                   31 March 2014


FUNDING and AWARDS:

CiE 2014 has received funding for student participation from the European
Association for Theoretical Computer Science EATCS.  Please contact the PC
chairs if you are interested.

The best student paper will receive an award sponsored by Springer.


CiE 2014 is the tenth conference organized by CiE (Computability in
Europe), a European association of mathematicians, logicians, computer
scientists, philosophers, physicists and others interested in new
developments in computability and their underlying significance for the
real world. Previous meetings have taken place in Amsterdam (2005),
Swansea (2006), Siena (2007), Athens (2008), Heidelberg (2009), Ponta
Delgada (2010), Sofia (2011), Cambridge (2012), and Milan (2013).

The motto of CiE 2014 "Language, Life, Limits" intends to put a special
focus on relations between computational linguistics, natural and
biological computing, and more traditional fields of computability theory.
This is to be understood in its broadest sense including computational
aspects of problems in linguistics, studying models of computation and
algorithms inspired by physical and biological approaches as well as
exhibiting limits (and non-limits) of computability when considering
different models of computation arising from such approaches.

As with previous CiE conferences the allover glueing perspective is to
strengthen the mutual benefits of analyzing traditional and new
computational paradigms in their corresponding frameworks both with
respect to practical applications and a deeper theoretical understanding.
We particularly invite papers that build bridges between different parts
of the research community.

For topics covered by the conference, please visit
        http://cie2014.inf.elte.hu/?Topics
We particularly welcome submissions in emergent areas, such as
bioinformatics and natural computation, where they have a basic connection
with computability.


TUTORIAL SPEAKERS:

        Wolfgang Thomas (RWTH Aachen)
        Peter Gr?nwald  (CWI, Amsterdam)

INVITED SPEAKERS:

Lev Beklemishev           (Steklov Mathematical Institute, Moscow)
Alessandra Carbone        (Universite Pierre et Marie Curie and CNRS 
Paris)
Maribel Fernandez         (King's College London)
Przemyslaw Prusinkiewicz  (University of Calgary)
Eva Tardos                (Cornell University
Albert Visser             (Utrecht University)


SPECIAL SESSIONS:

History and Philosophy of Computing
          (organizers: Liesbeth de Mol, Giuseppe Primiero)
Computational Linguistics
          (organizers: Maria Dolores Jim?nez-L?pez, G?bor Pr?sz?ky)
Computability Theory
          (organizers: Karen Lange, Barbara Csima)
Bio-inspired Computation
          (organizers: Marian Gheorghe, Florin Manea)
Online Algorithms
          (organizers: Joan Boyar, Csan?d Imreh)
Complexity in Automata Theory
          (organizers: Markus Lohrey, Giovanni Pighizzini)


Contributed papers will be selected from submissions received by the
PROGRAM COMMITTEE consisting of:

* Gerard Alberts (Amsterdam)      * Sandra Alves (Porto)
* Hajnal Andr?ka (Budapest)       * Lu?s Antunes (Porto)
* Arnold Beckmann (Swansea)       * Laurent Bienvenu (Paris)
* Paola Bonizzoni (Milan)         * Olivier Bournez (Palaiseau)
* Vasco Brattka (Munich)          * Bruno Codenotti (Pisa)
* Erzs?bet Csuhaj-Varj? (Budapest, co-chair)
* Barry Cooper (Leeds)            * Michael J. Dinneen (Auckland)
* Erich Gr?del (Aachen)		  * Marie Hicks (Chicago IL)
* Natasha Jonoska (Tampa FL)	  * Jarkko Kari (Turku)
* Elham Kashefi (Edinburgh)	  * Viv Kendon (Leeds)
* Satoshi Kobayashi (Tokyo)	  * Andr?s Kornai (Budapest)
* Marcus Kracht (Bielefeld)	  * Benedikt L?we (Amsterdam & Hamburg)
* Klaus Meer (Cottbus, co-chair)  * Joseph R. Mileti (Grinnell IA)
* Georg Moser (Innsbruck)	  * Benedek Nagy (Debrecen)
* Sara Negri (Helsinki)		  * Thomas Schwentick (Dortmund)
* Neil Thapen (Prague)		  * Peter van Emde Boas (Amsterdam)
* Xizhong Zheng (Glenside PA)


The PROGRAMME COMMITTEE cordially invites all researchers (European and
non-European) in computability related areas to submit their papers (in
PDF format, max 10 pages using the LNCS style) for presentation at CiE
2014.


The submission site
        https://www.easychair.org/conferences/?conf=cie2014
is open.

For submission instructions consult
        http://cie2014.inf.elte.hu/?Submission_Instructions

The CONFERENCE PROCEEDINGS will be published by LNCS, Springer Verlag.


Contact: Erzs?bet Csuhaj-Varj?   - csuhaj[at]inf.elte.hu

Website: http://cie2014.inf.elte.hu/
*******************************************************************

__________________________________________________________________________
  ASSOCIATION COMPUTABILITY IN EUROPE      http://www.computability.org.uk
  CiE Conference Series                         http://www.illc.uva.nl/CiE
  CiE 2014: Language, Life, Limits              http://cie2014.inf.elte.hu
  CiE Membership Application Form      http://www.lix.polytechnique.fr/CIE
  AssociationCiE on Twitter              http://twitter.com/AssociationCiE
__________________________________________________________________________

From shengping.zhang at gmail.com  Sun Dec 15 22:35:17 2013
From: shengping.zhang at gmail.com (Shengping Zhang)
Date: Sun, 15 Dec 2013 22:35:17 -0500
Subject: Connectionists: [journal] Signal,
	Image and Video Processing Special issue on "Semantic
	representations for social behavior analysis in video
	surveillance systems"
Message-ID: <CBBD2DC0-703F-418E-A735-F4C55D66880D@gmail.com>

Dear All,

Please find below the call for papers for a special issue of Signal, Image and Video Processing  on ?Semantic representations for social behavior analysis in video surveillance systems?. Apologies for cross-posting.

Signal, Image and Video Processing
Special issue

Semantic representations for social behavior analysis in video surveillance systems

Call for Papers

Video surveillance has been attracting increasing attentions in the computer vision community because of its wide industrial applications and important scientific values. Among the related topics, automatic behavior analysis plays an extremely important role and has witnessed tremendous progress in the last twenty years. Recently, researchers in video surveillance shift their attention from the monitoring of a single person?s behaviours in a relatively simple environment to that of social behavior of multiple persons in crowded environments. In contrast to single person?s behavior, social behavior analysis faces more challenges such as complex interaction, diverse semantics and various expressions. This is due to the gap between the information directly extracted from videos and semantic interpretations by our human beings.

To bridge this gap, a number of feature representation approaches (e.g. Cuboids, HOG/HOF, HOG3D and eSURF) have been subsequently reported to address the coherence between the extracted features and the semantic interpretations. Unfortunately, due to the redundancy and complexity, these hard-crafted features may lead to diverse variations of semantic representations for social behavior analysis.

In recent years, novel semantic representations have proven to be an effective tool for social behavior analysis. For example, social force model and its variant have proven to perform well in social behavior recognition. Such high-level semantic representations achieve desired performance even if in crowded environments. Besides, statistical approaches, syntactic approaches, and description-based approaches also gain increasing attention in computer vision community.

The primary purpose of this special issue is to organize a collection of recently developed high-level semantic representations for social behavior analysis, spreading over motion trajectory acquisition and analysis, semantic feature extraction, social behavior analysis and applications. The special issue is intended to be an international forum for researchers to report the recent developments in this field in an original research paper style. The topics include, but are not limited to:

? Real-time moving object detection and tracking in crowded environments;

? Face detection and recognition in crowded environments

? 3D scene reconstruction and occlusion handling;

? Long-term trajectory clustering and analysis for social behaviors;

? Probabilistic statistical models for local semantic representation;

? Context model for global semantic representation;

? Event recognition in crowded environments;

? Abnormal behavior detection in crowded environments;

? Real-time algorithms for large scale social behavior analysis; 

Schedule (tentative)

Deadline for manuscript submission: December 31, 2013

Notification of acceptance: April 15, 2014

Complete Publication Materials Due: July 15, 2014

Publication date: 2015

Submission Guidelines

Prospective authors should prepare their manuscripts according to the Signal, Image and Video Processing guidelines (http://www.springer.com/engineering/signals/journal/11760). Manuscripts should be submitted via http://www.editorialmanager.com/sivp/ with article type chosen as ?S.I.: Semantic representations for social behavior analysis?. Manuscripts should be self-contained and not exceed 30 double spaced pages typed in 10 points or larger. All submissions will be peer reviewed for originality, technical content and relevance to the theme of the special issue.

Guest Editors:

Shengping Zhang, Harbin Institute of Technology, China, Email: s.zhang at hit.edu.cn

Huiyu Zhou, Queen?s University Belfast, United Kingdom, Email: h.zhou at ecit.qub.ac.uk

Baochang Zhang, Beihang University, China, Email: bczhang at buaa.edu.cn

Zhenjun Han, University of Chinese Academy of Sciences, China, Email: hanzhj at ucas.ac.cn

Best regards,

-- 
Dr. Shengping Zhang




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From gluck at pavlov.rutgers.edu  Sat Dec 14 08:59:35 2013
From: gluck at pavlov.rutgers.edu (Mark Gluck)
Date: Sat, 14 Dec 2013 08:59:35 -0500
Subject: Connectionists: Study Computational Neuroscience at Rutgers
	University-Newark with a Ph.D. in Behavioral & Neural
	Sciences (Updated Deadline: January 1, 2014)
In-Reply-To: <341B022F-2805-4752-9E5D-83DCF4804B9D@pavlov.rutgers.edu>
References: <341B022F-2805-4752-9E5D-83DCF4804B9D@pavlov.rutgers.edu>
Message-ID: <2CDA9690-6CFE-4CDC-A40D-6E12A6761999@pavlov.rutgers.edu>



If you know of bright and highly motivated graduating seniors or research assistants at your institution who have skills and background in COMPUTATIONAL NEUROSCIENCE and are interested in pursuing research on neuro-computational brain modeling and applications of computational methods to functional brain imaging, they should consider an inter-disciplinary Ph.D. in ?Behavioral and Neural Sciences? at Rutgers University-Newark in Newark, NJ.

The goal of the Graduate Program in Behavioral and Neural Sciences (BNS) at Rutgers University-Newark is to provide training across all areas of neuroscience as well as to provide intensive instruction within one area of focus so that graduates will be prepared for careers as academicians, educators and research scientists. Students are fully funded by the graduate program (not by individual faculty) for five years with a stipend, tuition and comprehensive health insurance. 

The BNS curriculum offers a wide range of courses that provide both breadth and depth. The program has only a few required courses but many electives so that students may tailor coursework to their individual backgrounds and needs. Students are primarily trained to conduct independent research and to present and discuss their results orally and in written form. Students also gain experience in undergraduate and graduate teaching and mentoring. The recent integration into Rutgers of the former UMDNJ Medical School  provides our students with additional clinically-relevant training opportunities.

The campus of the BNS program is located in Newark, New Jersey, 13 miles from Manhattan, New York City, with extensive public transportation links between the two.

For more information, and links to faculty profiles and related resources, see:

                                    http://www.neuroscience.newark.rutgers.edu

Additional information on our brain imaging center can be found at http://rubic.rutgers.edu

The admissions link can be reached directly at: http://www.bns.rutgers.edu

The revised deadline for applications is January 1, 2014 and interviews of the top candidates will take place late February, 2014. Late applications may be considered on a case by case basis.

- Mark Gluck

___________________________________
Dr. Mark A. Gluck,  Professor  
  Director, Rutgers Memory Disorders Project  
Center for Molecular  and Behavioral Neuroscience
Rutgers University                                
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 grlmc at urv.cat  Sat Dec 14 11:10:46 2013
From: grlmc at urv.cat (GRLMC)
Date: Sat, 14 Dec 2013 17:10:46 +0100
Subject: Connectionists: SSTiC 2014: December 21st, 1st registration deadline
Message-ID: <53FEDBC6C86C489D8C5796828F662A0C@Carlos1>

*To be removed from our mailing list, please respond to this message with
UNSUBSCRIBE in the subject line*

*********************************************************************

2014 TARRAGONA INTERNATIONAL SUMMER SCHOOL ON TRENDS IN COMPUTING

SSTiC 2014

Tarragona, Spain

July 7-11, 2014

Organized by
Rovira i Virgili University

http://grammars.grlmc.com/sstic2014/

*********************************************************************

--- December 21st, 1st registration deadline ---

*********************************************************************

AIM:

SSTiC 2014 is the second edition in a series started in 2013. For the
previous event, see  http://grammars.grlmc.com/SSTiC2013/

SSTiC 2014 will be a research training event mainly addressed to PhD
students and PhD holders in the first steps of their academic career. It
intends to update them about the most recent developments in the diverse
branches of computer science and its neighbouring areas. To that purpose,
renowned scholars will lecture and will be available for interaction with
the audience.

SSTiC 2014 will cover the whole spectrum of computer science through 5
keynote lectures and 24 six-hour courses dealing with some of the most
lively topics in the field. The organizers share the idea that outstanding
speakers will really attract the brightest students.

ADDRESSED TO:

Graduate students from around the world. There are no formal pre-requisites
in terms of the academic degree the attendee must hold. However, since there
will be several levels among the courses, reference may be made to specific
knowledge background in the description of some of them.

SSTiC 2014 is also appropriate for more senior people who want to keep
themselves updated on developments in their own field or in other branches
of computer science. They will surely find it fruitful to listen and discuss
with scholars who are main references in computing nowadays.

REGIME:

In addition to keynotes, 3 parallel sessions will be held during the whole
event. Participants will be able to freely choose the courses they will be
willing to attend as well as to move from one to another.

VENUE:

SSTiC 2014 will take place in Tarragona, located 90 kms. to the south of
Barcelona. The venue will be:

Campus Catalunya
Universitat Rovira i Virgili
Av. Catalunya, 35
43002 Tarragona

KEYNOTE SPEAKERS:

Larry S. Davis (U Maryland, College Park), A Historical Perspective of
Computer Vision Models for Object Recognition and Scene Analysis

David S. Johnson (Columbia U, New York), Open and Closed Problems in
NP-Completeness

George Karypis (U Minnesota, Twin Cities), Recommender Systems Past,
Present, & Future

Steffen Staab (U Koblenz), Explicit and Implicit Semantics: Two Sides of One
Coin

Ronald R. Yager (Iona C, New Rochelle), Social Modeling

COURSES AND PROFESSORS:

Divyakant Agrawal (U California, Santa Barbara), [intermediate] Scalable
Data Management in Enterprise and Cloud Computing Infrastructures

Pierre Baldi (U California, Irvine), [intermediate] Big Data Informatics
Challenges and Opportunities in the Life Sciences

Stephen Brewster (U Glasgow), [introductory] Multimodal Human-computer
Interaction

Rajkumar Buyya (U Melbourne), [intermediate] Cloud Computing

John M. Carroll (Pennsylvania State U, University Park), [introductory]
Usability Engineering and Scenario-based Design

Kwang-Ting (Tim) Cheng (U California, Santa Barbara),
[introductory/intermediate] Smartphones: Hardware Platform, Software
Development, and Emerging Apps

Amr El Abbadi (U California, Santa Barbara), [introductory] The Distributed
Foundations of Data Management in the Cloud

Richard M. Fujimoto (Georgia Tech, Atlanta), [introductory] Parallel and
Distributed Simulation

Mark Guzdial (Georgia Tech, Atlanta), [introductory] Computing Education
Research: What We Know about Learning and Teaching Computer Science

David S. Johnson (Columbia U, New York), [introductory] The Traveling
Salesman Problem in Theory and Practice

George Karypis (U Minnesota, Twin Cities), [intermediate] Programming
Models/Frameworks for Parallel & Distributed Computing

Aggelos K. Katsaggelos (Northwestern U, Evanston), [intermediate]
Optimization Techniques for Sparse/Low-rank Recovery Problems in Image
Processing and Machine Learning

Arie E. Kaufman (U Stony Brook), [advanced] Visualization

Carl Lagoze (U Michigan, Ann Arbor), [introductory] Curation of Big Data

Bijan Parsia (U Manchester), [introductory] The Empirical Mindset in
Computer Science

Charles E. Perkins (FutureWei Technologies, Santa Clara), [intermediate]
Beyond LTE: the Evolution of 4G Networks and the Need for Higher Performance
Handover System Designs

Sudhakar M. Reddy (U Iowa, Iowa City), [introductory] Test and Design for
Test of Digital Logic Circuits

Robert Sargent (Syracuse U), [introductory] Validation of Models

Mubarak Shah (U Central Florida, Orlando), [intermediate] Visual Crowd
Analysis

Steffen Staab (U Koblenz), [intermediate] Programming the Semantic Web

Mike Thelwall (U Wolverhampton), [introductory] Sentiment Strength Detection
for Twitter and the Social Web

Jeffrey D. Ullman (Stanford U), [introductory] MapReduce Algorithms

Nitin Vaidya (U Illinois, Urbana-Champaign), [introductory/intermediate]
Distributed Consensus: Theory and Applications

Philip Wadler (U Edinburgh), [intermediate] Topics in Lambda Calculus and
Life

ORGANIZING COMMITTEE:

Adrian Horia Dediu (Tarragona)
Carlos Mart?n-Vide (Tarragona, chair)
Florentina Lilica Voicu (Tarragona)

REGISTRATION:

It has to be done at

http://grammars.grlmc.com/sstic2014/registration.php 

The selection of up to 8 courses requested in the registration template is
only tentative and non-binding. For the sake of organization, it will be
helpful to have an approximation of the respective demand for each course.

Since the capacity of the venue is limited, registration requests will be
processed on a first come first served basis. The registration period will
be closed when the capacity of the venue will be complete. It is very
convenient to register prior to the event.

FEES:

As far as possible, participants are expected to attend for the whole (or
most of the) week (full-time). Fees are a flat rate allowing one to
participate to all courses. They vary depending on the registration
deadline.

ACCOMMODATION:

Information about accommodation will be available on the website of the
School in due time.

CERTIFICATE:

Participants will be delivered a certificate of attendance.

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu at urv.cat 

POSTAL ADDRESS:

SSTiC 2014
Lilica Voicu
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain

Phone: +34 977 559 543
Fax: +34 977 558 386

ACKNOWLEDGEMENTS:

Departament d?Economia i Coneixement, Generalitat de Catalunya
Universitat Rovira i Virgili



From terry at salk.edu  Mon Dec 16 13:47:30 2013
From: terry at salk.edu (Terry Sejnowski)
Date: Mon, 16 Dec 2013 10:47:30 -0800
Subject: Connectionists: NEURAL COMPUTATION - January, 2014
In-Reply-To: <E1ViR3I-00023M-3A@dale.snl.salk.edu>
Message-ID: <E1VsdCU-0004LK-MW@dale.snl.salk.edu>

Neural Computation - Contents -- Volume 26, Number 1 - January 1, 2014

Available online for download now:
http://www.mitpressjournals.org/toc/neco/26/1

-----

Article

Neural Representation of Spatial Topology in the Rodent Hippocampus
Zhe Chen, Stephen N Gomperts, Jun Yamamoto, and Matthew A Wilson

Letters

Single Snippet Analysis for Detection of Post-Spike Effects
Sagi Perel, Andrew B. Schwartz, and Valerie Ventura

ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders
Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvarinen, and Takashi Washio

Information-Maximization Clustering Based on Squared-Loss Mutual Information
Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, and Hirotaka Hachiya

Local Linear Approximation of the Jacobian Matrix Better Captures 
Phase Resetting of Neural Limit Cycle Oscillators
Sorinel A Oprisan

Learning With Convex Loss and Indefinite Kernels
Hongzhi Tong, Di-Rong Chen, and Fenghong Yang

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso
Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric Xing, and Masashi Sugiyama

Blocked 3x2 Cross-validated T-test for Comparing Supervised Classification 
Learning Algorithms
Wang Yu, Wang Ruibo, Jia Huichen, and Li Jihong

------------

ON-LINE -- http://www.mitpressjournals.org/neuralcomp

SUBSCRIPTIONS - 2014 - VOLUME 26 - 12 ISSUES
                  USA   Others  Electronic Only
Student/Retired   $70     $193    $65
Individual       $124     $187   $115
Institution    $1,035   $1,098   $926

Canada: Add 5% GST

MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902
Tel: (617) 253-2889  FAX: (617) 577-1545 journals-orders at mit.edu

------------


From shengping.zhang at gmail.com  Mon Dec 16 13:04:08 2013
From: shengping.zhang at gmail.com (Shengping Zhang)
Date: Mon, 16 Dec 2013 10:04:08 -0800 (PST)
Subject: Connectionists: CVNet - [journal] Signal,
	Image and Video Processing Special issue on "Semantic
	representations for social behavior analysis in video
	surveillance systems"
Message-ID: <CBBD2DC0-703F-418E-A735-F4C55D66880D@gmail.com>

Dear All,

Please find below the call for papers for a special issue of Signal, Image and Video Processing  on ?Semantic representations for social behavior analysis in video surveillance systems?. Apologies for cross-posting.

Signal, Image and Video Processing
Special issue

Semantic representations for social behavior analysis in video surveillance systems

Call for Papers

Video surveillance has been attracting increasing attentions in the computer vision community because of its wide industrial applications and important scientific values. Among the related topics, automatic behavior analysis plays an extremely important role and has witnessed tremendous progress in the last twenty years. Recently, researchers in video surveillance shift their attention from the monitoring of a single person?s behaviours in a relatively simple environment to that of social behavior of multiple persons in crowded environments. In contrast to single person?s behavior, social behavior analysis faces more challenges such as complex interaction, diverse semantics and various expressions. This is due to the gap between the information directly extracted from videos and semantic interpretations by our human beings.

To bridge this gap, a number of feature representation approaches (e.g. Cuboids, HOG/HOF, HOG3D and eSURF) have been subsequently reported to address the coherence between the extracted features and the semantic interpretations. Unfortunately, due to the redundancy and complexity, these hard-crafted features may lead to diverse variations of semantic representations for social behavior analysis.

In recent years, novel semantic representations have proven to be an effective tool for social behavior analysis. For example, social force model and its variant have proven to perform well in social behavior recognition. Such high-level semantic representations achieve desired performance even if in crowded environments. Besides, statistical approaches, syntactic approaches, and description-based approaches also gain increasing attention in computer vision community.

The primary purpose of this special issue is to organize a collection of recently developed high-level semantic representations for social behavior analysis, spreading over motion trajectory acquisition and analysis, semantic feature extraction, social behavior analysis and applications. The special issue is intended to be an international forum for researchers to report the recent developments in this field in an original research paper style. The topics include, but are not limited to:

? Real-time moving object detection and tracking in crowded environments;

? Face detection and recognition in crowded environments

? 3D scene reconstruction and occlusion handling;

? Long-term trajectory clustering and analysis for social behaviors;

? Probabilistic statistical models for local semantic representation;

? Context model for global semantic representation;

? Event recognition in crowded environments;

? Abnormal behavior detection in crowded environments;

? Real-time algorithms for large scale social behavior analysis; 

Schedule (tentative)

Deadline for manuscript submission: December 31, 2013

Notification of acceptance: April 15, 2014

Complete Publication Materials Due: July 15, 2014

Publication date: 2015

Submission Guidelines

Prospective authors should prepare their manuscripts according to the Signal, Image and Video Processing guidelines (http://www.springer.com/engineering/signals/journal/11760). Manuscripts should be submitted via http://www.editorialmanager.com/sivp/ with article type chosen as ?S.I.: Semantic representations for social behavior analysis?. Manuscripts should be self-contained and not exceed 30 double spaced pages typed in 10 points or larger. All submissions will be peer reviewed for originality, technical content and relevance to the theme of the special issue.

Guest Editors:

Shengping Zhang, Harbin Institute of Technology, China, Email: s.zhang at hit.edu.cn

Huiyu Zhou, Queen?s University Belfast, United Kingdom, Email: h.zhou at ecit.qub.ac.uk

Baochang Zhang, Beihang University, China, Email: bczhang at buaa.edu.cn

Zhenjun Han, University of Chinese Academy of Sciences, China, Email: hanzhj at ucas.ac.cn

Best regards,

-- 
Dr. Shengping Zhang




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From smart at neuralcorrelate.com  Mon Dec 16 18:04:57 2013
From: smart at neuralcorrelate.com (Susana Martinez-Conde)
Date: Mon, 16 Dec 2013 16:04:57 -0700
Subject: Connectionists: call for illusion submissions: Best illusion of the
	Year Contest 10th Anniversary Edition
Message-ID: <018301cefab3$3da3d480$b8eb7d80$@neuralcorrelate.com>

****CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 10TH ANNUAL BEST ILLUSION OF
THE YEAR CONTEST****

http://illusioncontest.neuralcorrelate.com
<http://illusioncontest.neuralcorrelate.com/> 

*** We are happy to announce the 10th anniversary edition of world's Best
Illusion of the Year Contest!!***
Submissions are now welcome!

The 2014 contest will be held in St. Petersburg, Florida, at the
<http://www.tradewindsresort.com/> TradeWinds Island Resorts (headquarters
of the Vision Sciences Society conference), on May 19th. 


Past contests have been highly successful in drawing public attention to
perceptual research, with over ***FIVE MILLION*** website hits from viewers
all over the world, as well as hundreds of international media stories. 

 

The First, Second and Third Prize winners from the 2013 contest were Jun
Ono, Akiyasu Tomoeda and Kokichi Sugihara (Meiji University and CREST,
Japan), Arthur Shapiro and Alex Rose-Henig (American University, USA), and
Arash Afraz and Ken Nakayama (Massachusetts Institute of Technology and
Harvard University, USA).

To see the illusions, photo galleries and other highlights from the 2013 and
previous contests, go to http://illusionoftheyear.com. 

Eligible submissions to compete in the 2014 contest are novel perceptual or
cognitive illusions (unpublished, or published no earlier than 2013) of all
sensory modalities (visual, auditory, etc.) in standard image, movie or html
formats. Exciting new variants of classic or known illusions are admissible.
An international panel of impartial judges will rate the submissions and
narrow them to the TOP TEN. Then, at the Contest Gala in St. Petersburg, the
TOP TEN illusionists will present their contributions and the attendees of
the event (that means you!) will vote to pick the TOP THREE WINNERS! 

The 2014 Contest Gala will be hosted by world-renowned magician Mac King.
Mac King is the premiere comedy magician in the world today, with his own
family-friendly show, "The Mac King Comedy Magic Show," at the
<http://en.wikipedia.org/wiki/Harrah%27s_Las_Vegas> Harrah's Las Vegas. He
was named "Magician of the Year" by the Magic Castle in Hollywood in 2003,
and is a frequent guest and host of television specials.

 

Illusions submitted to previous editions of the contest can be re-submitted
to the 2014 contest, so long as they meet the above requirements and were
not among the TOP THREE winners in previous years. Submissions will be held
in strict confidence by the panel of judges and the authors/creators will
retain full copyright. The TOP TEN illusions will be posted on the illusion
contest's website *after* the Contest Gala. Illusions not chosen among the
TOP TEN will not be disclosed. Participating in to the Best Illusion of the
Year Contest does not preclude the illusion authors/creators from also
submitting their work for publication elsewhere.


Submissions can be made to Dr. Susana Martinez-Conde (Illusion Contest
Executive Producer, Neural Correlate Society) via email
(smart at neuralcorrelate.com) until February 14, 2014. Illusion submissions
should come with a (no more than) one-page description of the illusion and
its theoretical underpinnings (if known).  

 

Women and underrepresented groups are especially encouraged to participate.
The Neural Correlate Society reserves the right to disqualify illusion
entries that are potentially offensive to some or all members of the public,
or inappropriate for viewing by audiences of all ages. 

 

Illusions will be rated according to:
 
. Significance to our understanding of the mind and brain 
. Simplicity of the description  
. Sheer beauty 
. Counterintuitive quality 
. Spectacularity


Visit the illusion contest website for further information and to see last
year's illusions: http://illusionoftheyear.com.

Submit your ideas now and take home this prestigious award! 

 

On behalf of the Executive Board of the Neural Correlate Society:
Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez,
Xoana Troncoso, Peter Tse

----------------------------------------------------------------

Susana Martinez-Conde, PhD

Executive Producer, Best Illusion of the Year Contest

President, Neural Correlate Society

 <http://www.scientificamerican.com/search/?q=macknik> Columnist, Scientific
American Mind

 <http://sleightsofmind.com/> Author, Sleights of Mind

 

Director, Laboratory of Visual Neuroscience

Division of Neurobiology

Barrow Neurological Institute

350 W. Thomas Rd

Phoenix AZ 85013, USA

 

Phone: +1 (602) 406-3484

Fax: +1 (602) 406-4172

Email:  <mailto:smart at neuralcorrelate.com> smart at neuralcorrelate.com 

 <http://smc.neuralcorrelate.com> http://smc.neuralcorrelate.com  

 

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From marcus.hutter at gmx.net  Mon Dec 16 22:59:32 2013
From: marcus.hutter at gmx.net (Marcus Hutter)
Date: Tue, 17 Dec 2013 14:59:32 +1100
Subject: Connectionists: CFP: Seventh Conference on Artificial General
	Intelligence
Message-ID: <52AFCC24.4090808@gmx.net>

Call for Papers: AGI?14
Aug. 1?4 2014, Quebec City
http://agi-conf.org/2014

The seventh annual conference on Artificial General Intelligence 
(AGI?14) will take place in Quebec City, August 1?4.  AGI?14 will be 
co-located with and immediately after AAAI?14 and CogSci 2014.

The AGI conference series is the premier international event aimed at 
advancing the state of knowledge regarding the original goal of the AI 
field ? the creation of thinking machines with general intelligence at 
the human level and possibly beyond.

Information on the previous AGI conferences may be found at 
http://agi-conf.org/

Keynote speakers:
* Yoshua Bengio, University of Montreal: Deep Learning for AI
* more to be announced.

Papers:
As in prior AGI conferences, we welcome contributed papers on all 
aspects of AGI R&D, with the key proviso that each paper should somehow 
contribute specifically to the development of Artificial General 
Intelligence.

The proceedings of AGI-14 will be published as a book in Springer?s 
Lecture Notes in AI series, http://www.springer.com/series/1244, and all 
the accepted papers will be available online. Papers must be written in 
either LaTeX (preferred) [template: 
ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip] or Word 
[2007 template: 
ftp://ftp.springer.de/pub/tex/latex/llncs/word/splnproc1110.zip][2003 
template: 
http://static.springer.com/sgw/documents/1124637/application/zip/CSProceedings_AuthorTools_Word_2003.zip]. 
  Two types of papers will be accepted:

* Regular papers, with a length limit of 10 pages, presenting new 
research results or rigorously describing new research ideas
* Short technical communications, with a limit of 4 pages, summarizing 
results and ideas of interest to the AGI audience, including reports 
about recent publications, position papers, and preliminary results.

The submission deadline is March 15, 2014. The submission page will open 
on January 15, 2014.

Appropriate topics for contributed papers include, but are not 
restricted to:

* Agent Architectures
* Autonomy
* Benchmarks and Evaluation
* Cognitive Modeling
* Collaborative Intelligence
* Creativity
* Distributed AI
* Formal Models of General Intelligence
* Implications of AGI for Society, Economy and Ecology
* Integration of Different Capabilities
* Knowledge Representation for General Intelligence
* Languages, Specification Approaches and Toolkits
* Learning, and Learning Theory
* Motivation, Emotion and Affect
* Multi-Agent Interaction
* Natural Language Understanding
* Neural-Symbolic Processing
* Perception and Perceptual Modeling
* Philosophy of AGI
* Reasoning, Inference and Planning
* Reinforcement Learning
* Robotic and Virtual Embodiment
* Simulation and Emergent Behavior
* Solomonoff Induction

Workshops and Tutorials:
AGI-14 will include a Workshop on AGI & Cognitive Science.
Additional workshops and tutorials will be determined during the coming 
months.

If you wish to propose a tutorial or a workshop in relation with 
Artificial General Intelligence, please email a brief proposal to 
Conference Chair Ben Goertzel (ben AT goertzel DOT org), or Program 
Committee Chairs Laurent Orseau or Javier Snaider.

Chairs and Committees:
* Conference Chair: Ben Goertzel
* Program Committee Chairs: Laurent Orseau and Javier Snaider
* Workshop on AI & Cog Sci: Joscha Bach (Chair), Glenn Gunzelmann
* Additional Organizing Committee Members:  Rod Furlan, Ted Goertzel
* Program Committee: See http://agi-conf.org/2014/committees/

______________________
Marcus Hutter,  Professor
RSISE, Room B259, Building 115
Australian National University
Corner of North and Daley Road
Canberra ACT 0200, Australia
Phone:   +61(0)2 612 51605 (time zone GMT+10:00)
Fax:  +61(0)2 612 58651
Email: marcus.hutter at anu.edu.au
http://www.hutter1.net/

From M.Gillies at gold.ac.uk  Tue Dec 17 04:56:57 2013
From: M.Gillies at gold.ac.uk (Marco Gillies)
Date: Tue, 17 Dec 2013 09:56:57 +0000
Subject: Connectionists: CFP: AISB 2014 Symposium: Machine Learning,
 Expressive Movement, Interaction Design, Creative Applications
Message-ID: <D2BDC94B-88F9-480A-8F56-AE603746E245@gold.ac.uk>


apologies for cross posting

Marco

---------------------------

Call for Participation, AISB 2014 Symposium:
Machine Learning, Expressive Movement, Interaction Design, Creative Applications

1 and 2 April 20-14
					
Workshop website: https://www.doc.gold.ac.uk/~mas02mg/GestureWorkshop/?page_id=15
Submission deadline: 21st January 2014
		
			
OVERVIEW
Machine Learning (ML) is a set of techniques widely used for data analysis and understanding of complex phenomena. A subset of ML methods that are real time or that look at continuous data have been designed to carry out a wide variety of tasks such as gesture recognition, movement prediction, gesture spotting, animation, social signal processing, style generation. These in turn can be applied in diverse areas including novel human computer interaction methods, human robot interaction, musical performance, digital arts and entertainment. All of these application areas involve specific constraints in the design of ML methods, regarding movement complexity (e.g. from symbols to continuous gestures), learning procedure (e.g. from few examples) and realtime inference.


PRESENTATION
The workshop will take the form of a symposium to bear on the key challenges of the design of ML methods for expressive movement, interaction design and related fields. We wish to emphasize how the applications contexts contribute to shaping the methods used, the learning strategies, the tasks imagined. We will consider both computational challenges and interaction design issues. We will draw on advances in interactive art and music, fields which provide many relevant use cases for real-time, continuous, and ?expressive? gestural interactions.
					
This 2-day symposium will consist of 3 sessions: presentations, demos, and an evening performance.
					
Researchers from industry, academia, and arts with an interest in the machine learning of gestural input are invited to submit one of the following types of position papers:
1.) Technical innovation in machine learning & gesture analysis
2.) Design case studies of gestural interaction systems
3.) Proposals for live demos of functional prototypes
		
SUBMISSION			
To submit, please email your submission paper (PDF) to mlworkshop at goldsmithsdigital.com. Note that supporting videos are encouraged (send as URLs). 

Papers should be maximum 4 pages in AISB format. Template files for submission can be found  at:
http://www.aisb.org.uk/convention/aisb08/download.html

Selection will be based on submission quality and relevance to the workshop topic. Each paper will be peer-reviewed by program committee members. At least one author of each accepted submission must register for AISB.

Note that a special issue in a journal will be considered and discussed during the workshop.


IMPORTANT DATES
* Submission deadline: 21 January 2014
* Notification of acceptance: 20 February 2014
* Workshop: 1-2 April 2014
					
ORGANISERS
* Fr?d?ric Bevilacqua, IRCAM, France
* Baptiste Caramiaux, Goldsmiths, University of London, UK 
* Rebecca Fiebrink, Goldsmiths, University of London, UK
* Marco Gillies, Goldsmiths, University of London, UK
* Atau Tanaka, Goldsmiths, University of London, UK 



From irodero at cac.rutgers.edu  Tue Dec 17 22:21:12 2013
From: irodero at cac.rutgers.edu (Ivan Rodero)
Date: Tue, 17 Dec 2013 22:21:12 -0500
Subject: Connectionists: C4BIO 2014 - Call for Papers
In-Reply-To: <A56F46BC-0955-4734-A683-A66A88234352@rutgers.edu>
References: <51EC7783-DCAD-4364-B1DC-576C726BAA31@rutgers.edu>
 <A3268A87-2686-4D90-B817-9E1B340EAE5B@rutgers.edu>
 <6F339279-23CD-4553-95DF-B1F906F948E3@rutgers.edu>
 <FC60849F-46B5-4F22-8B92-2805B877FE28@rutgers.edu>
 <0957F75F-5AB9-4144-B62D-87D225B34E42@rutgers.edu>
 <A8A21F51-A1B1-4D34-A774-26FBA4982BBE@rutgers.edu>
 <A56F46BC-0955-4734-A683-A66A88234352@rutgers.edu>
Message-ID: <22CF346C-98EC-4D5B-9500-D0B9FE60551A@rutgers.edu>

--------------------------------------------------------------------------------------------------

Please accept our apologies if you receive multiple copies of this CFP!

--------------------------------------------------------------------------------------------------

============================================================

FIRST INTERNATIONAL WORKSHOP ON CLOUD FOR BIO (C4Bio)

to be held as part of IEEE/ACM CCGrid 2014

Chicago, USA, May 26-29, 2014

http://www.arcos.inf.uc3m.es/~c4bio2014

BACKGROUND
----------------------

In the last 20 years, computational methods have become an important part of developing emerging technologies for the field of bioinformatics and biomedicine. Research areas such as biomodelling, molecular dynamics, genomics, neuroscience, cancer models, evolutionary biology, medical biology, biochemistry, biophysics, biotechnology, cell biology, nanobiotechnology, biological engineering, pharmacology, genetics therapy, or automatic diagnosis, rely heavily on large scale computational resources as they need to manage Tbytes or Pbytes of data with large-scale structural and functional relationships, TFlops or PFlops of computing power for simulating highly complex models, or many-task processes and workflows for processing and analyzing data.

As applications require more and more computational resources every day in order to increase the knowledge of biological and health processes, bio disciplines create new challenges of scale for computation, storage, and interpretation of petascale data that are difficult to solve with single clusters. Cloud computing has the potential to help solve these problems by offering a utility model based on highly flexible computing and storage capabilities and abstraction layers that allows overcoming many of the constraints present in dedicated systems. It may also increase research productivity by allowing sharing applications, tools, and algorithms in an easy way.

The aim of the workshop is to promote the synergies of the cloud computing and bio communities by exploring applications developed in clouds, cloud systems enhancements for bio, and new trends and needs shared between both communities. Thus, this workshop will feature articles that discuss the application of cloud computing to bioinformatics and biomedicine, including solutions to area problems and architectural adaptation of cloud systems to fit those problems.


TOPICS
-----------

Areas of interest of the workshop include, but are not limited to:

	 - Cloud-based bioinformatics applications
	 - Cloud-based biomedicine applications
	 - Cloud-based application in public health systems
	 - Modeling and simulation of complex biological processes
	 - Genomics and Molecular Structure evolution
	 - Molecular Dynamics
	 - Data intensive biomedical applications
	 - Clouds for big data manipulation in bioinformatics and biomedicine
	 - Ontologies and biomedical text mining using clouds
	 - Biological data mining and visualization using clouds
	 - Managing large scale biological and biomedical databases using clouds
	 - Visualization and analysis of biomedical images
	 - Integration and analysis of biomedical data
	 - Biosignals processing using clouds
	 - Computational Modeling and Data Integration
	 - Privacy issues for cloud-based biomedical applications
	 - Security challenges in big data and biomedicine
	 - Biocloud services and resource specification
	 - Cloud Computing architectures for bio*
	 - Data-centric versus computer-centric cloud architectures
	 - Hybrid infrastructures (cloud/physics) for bio applications.
	 - Resource provisioning for bioclouds
	 - Distributed cloud solutions
	 - Cloud solutions for biosensors and mobility
	 - Improved energy consumption of bio applications using clouds
	 - Programming paradigms and tools for bio-applications

SCHEDULE, IMPORTANT DATES
-------------------------------

	 - Submission: February 10th, 2014
	 - Author notification: March 1st, 2014
	 - Camera Ready papers due: March 14th, 2014
	 - Conference: May 26th-29th, 2014



COMMITTEE
------------------

Workshop Organizers:

	 - Prof. Jesus Carretero. University Carlos III of Madrid, Spain.
	 - Dr. Javier Garcia-Blas. University Carlos III of Madrid, Spain.
	 - Dr. Manuel Desco. Hospital Gregorio Maranon de Madrid. Spain.
	 - Prof. Dana Petcu. University of Timisoara, Romania.

Program Committee:

	 - Ivona Brandic. Vienna University of Technology, Austria.
	 - Rajkumar Buyya, The University of Melbourne, Australia.
	 - Alejandro Calderon, University Carlos III of Madrid, Spain.
	 - David E. Singh, University Carlos III of Madrid, Spain.
	 - Geoffrey Fox. Indiana University, USA.
	 - Felix Garcia-Carballeira. University Carlos III of Madrid, Spain. 
	 - Jose Daniel Garcia, University Carlos III of Madrid, Spain.
	 - Wolfgang Gentzsch. The UberCloud, USA.
	 - Pesole Graziano. University of Bari, Italy.
	 - Hsien-Da Huang. National Chiao Tung University, HsinChu, Taiwan.
	 - Florin Isaila, Argonne National Labs, USA.
	 - Cedrid Notredame. Center For Genomic Simulation, Spain.
	 - Javier Pascau, University Carlos III of Madrid, Spain.
	 - Jorge Ripoll, University Carlos III of Madrid, Spain.
	 - Ivan Rodero, Rutgers University, USA.
	 - Omer F. Rana. Cardiff University, UK.
	 - Saman K. Halgamuge. The University of Melbourne, Australia.
	 - Domenico Talia. University of Calabria, Italy.
	 - Peter J. Tonellato. Center for Biomedical Informatics, Harvard Medical School, USA.
	 - Oswaldo Trelles.University of Malaga. Spain.
	 - Jose Luis Vazquez-Poletti, University Complutense of Madrid, Spain.
	 - Miguel A. Vega-Rodriguez. University of Extremadura, Spain.
	 - Tin Wee Tan. National University of Singapore. Singapore.
	 - Roel Wuyts, IMEC, Belgium.
	 - Laurence T. Yang. St. Francis Xavier University, Canada.

PAPER SUBMISSION GUIDELINES
-------------------------------------------------

Authors are invited to submit papers electronically in PDF format. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter-size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Authors should make sure that their file will print on a printer that uses letter-size (8.5 x 11) paper. The official language of the conference is English. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees.

Paper submissions are limited to 10 pages in 2-column IEEE format including all figures and references. Submitted manuscripts exceeding this limit will be returned without review. For the final camera-ready version, authors with accepted papers may purchase additional pages at the following rates: 100 USD for each of the first two additional pages; 200 USD for each of the third and fourth additional pages.

The paper submission online system is open: https://www.easychair.org/conferences/?conf=c4bio2014 


=============================================================
Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)                                                         
NSF Center for Cloud and Autonomic Computing (CAC)
Department of Electrical and Computer Engineering            
Rutgers, The State University of New Jersey   
Office: CoRE Bldg, Rm 625                                                       
94 Brett Road, Piscataway, NJ 08854-8058
Phone: (732) 993-8837
Fax:   (732) 445-0593
Email: irodero at rutgers dot edu
WWW: http://nsfcac.rutgers.edu/people/irodero
=============================================================






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From noros at uci.edu  Tue Dec 17 13:36:15 2013
From: noros at uci.edu (noros)
Date: Tue, 17 Dec 2013 10:36:15 -0800
Subject: Connectionists: Android Based Robotics
Message-ID: <358ed90837bdce7a6667211dea3074da@uci.edu>

Dear colleagues,

The following website and project may be of interest to many 
connectionists involved in robotics 
(http://www.socsci.uci.edu/~jkrichma/ABR/index.html).
It presents the promising approach of creating robotic platforms using 
Android smartphones. The website also provides a technical report, 
source code and instructions for constructing a simple Android based 
robot. It also describes applications where Android based robots could 
visually track and follow objects while avoiding obstacles, or be 
controlled by a neural network to perform reinforcement learning and 
foraging tasks.

Best Regards,
Nicolas Oros and Jeffrey Krichmar

--
Nicolas Oros, Ph.D.
Research Scholar
Cognitive Anteater Robotics Laboratory
Department of Cognitive Sciences
2232 Social & Behavioral Sciences Gateway
University of California,Irvine
Irvine, CA 92697-5100
http://www.cogsci.uci.edu/~noros/

Jeffrey L. Krichmar, Ph.D.
Professor of robotics and computational neuroscience
Cognitive Anteater Robotics Laboratory
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu
http://www.socsci.uci.edu/~jkrichma

From bressler at fau.edu  Wed Dec 18 13:17:54 2013
From: bressler at fau.edu (Steven Bressler)
Date: Wed, 18 Dec 2013 13:17:54 -0500
Subject: Connectionists: Cognitive Neuroscience Faculty Position
Message-ID: <CA+CaCXLzjEftL5y2NtbFhJeJf8F=mKcjK9k821YGQn926Cdctw@mail.gmail.com>

FACULTY POSITION
COGNITIVE NEUROSCIENCE
FLORIDA ATLANTIC UNIVERSITY

The Center for Complex Systems and Brain Sciences, and the Department of
Psychology, at Florida Atlantic University invite applications for a
tenure-track faculty position in cognitive neuroscience at the Assistant
Professor level.  Candidates will have the opportunity to work in an
explicitly multidisciplinary setting and interact with cognitive and
behavioral neuroscientists in the Center and Department whose research
spans human, animal, and computational models. Ideal candidates will have a
strong program in one or more of the following areas: object recognition,
attention, memory, language, cognitive control.



Applicant Ph.D. in Neuroscience, Experimental Psychology, or a related
discipline, an excellent record of research productivity, the potential to
develop an independent and internationally recognized research program, and
strong commitment to undergraduate and graduate education. Active grant
funding and/or a successful history of grant support are desirable. An
approach that combines experimental (e.g. EEG, ERPs, or TMS, and/or
neuroimaging) and computational (e.g. network modeling, graph-theoretic
analysis) components is desirable.



*Special Instructions to applicants:*

This position is open until filled and may close without prior notice.



All applicants must apply electronically to the currently posted position
on the Office of Human Resources' job website (https://jobs.fau.edu) by
completing the Faculty, Administrative, Managerial & Professional Position
Application and submitting the related documents.



The site permits the attachment of required/requested documentation. In
addition to completing the online application, please upload the following:
a cover letter, curriculum vitae, copies of official transcripts scanned
into an electronic format, statement of research interests and teaching
philosophy, sample publications, and letters from three references.



Confidential letters may be sent by email to the Search Committee Chair at
bressler at fau.edu. All other application materials must be submitted
electronically at https://jobs.fau.edu.



Degrees from outside the United States must be validated by an organization
belonging to the National Association of Credential Evaluation Service
(NACES), with an indication of the documents the evaluation was prepared
from (official transcripts, diplomas, dissertation abstracts). The
evaluation should be scanned and electronically attached to one's
application as with other US-based transcripts.



Prior to appointment, the candidate must submit official, sealed
transcripts from all institutions where graduate coursework was attempted,
whether or not a degree was obtained, as well as an original NACES
evaluation, if applicable. Transcripts must be issued to Florida Atlantic
University not to you as the student.



A background check will be required for the candidate selected for this
position. This position is subject to funding.



Individuals with disabilities requiring accommodation, please call
561-297-3057.
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From nando at cs.ubc.ca  Wed Dec 18 14:48:15 2013
From: nando at cs.ubc.ca (Nando de Freitas)
Date: Wed, 18 Dec 2013 11:48:15 -0800
Subject: Connectionists: DPhil Awards at Oxford University
Message-ID: <CAEMzN-Xe=4Dth1ZJqa7Awt2fKOo6UovZieNkgYXVP4_XgiWWpA@mail.gmail.com>

[apologies for duplicates]

The department of CS at the University of Oxford is offering several PhD
(aka DPhil) studentships to outstanding applicants.

http://www.cs.ox.ac.uk/news/682-full.html

I am looking new PhD students, with strong mathematical and programming
skills, to carry out work on deep learning, Bayesian optimization, and
machine learning at large.

http://www.cs.ox.ac.uk/people/nando.defreitas/

Applications are made online and information about how to apply, including
requirements and links to the online prospectus, colleges and university
funding, is available from:

www.cs.ox.ac.uk/admissions/dphil/

Oxford has recently hired many machine learning profs including Yeh Whye
Teh, Michael Osborne, Frank Wood, Arnaud Doucet, ... It is an exciting
place for research in this area.

Happy holidays!
Nando
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From pierre-yves.oudeyer at inria.fr  Wed Dec 18 16:39:14 2013
From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer)
Date: Wed, 18 Dec 2013 22:39:14 +0100
Subject: Connectionists: [publication and call for dialog] IEEE CIS
	Newsletter on Autonomous Mental Development, Fall 2013
Message-ID: <B1E32034-7567-4E84-A728-C7A9D41373A4@inria.fr>

Dear colleagues,

It is my pleasure to announce the release of the Fall 2013 issue of the IEEE CIS Newsletter on Autonomous Mental Development. This is the biannual newsletter of the computational developmental sciences and developmental robotics community, studying mechanisms of lifelong learning and development in machines and humans.

It is available at:

http://www.cse.msu.edu/amdtc/amdnl/AMDNL-V10-N2.pdf

=== Dialog initiated by Peter Ford Dominey, with responses from Brian MacWhinney, William Croft, Alistair Knott, Juyang Weng, Michael A. Arbib & Victor Barr?s
=== "How are Grammatical Constructions Linked to Embodied Meaning Representations?
This dialog investigates how structured embodied meanings, such as the temporal enfolding of events, and grammatical constructions to talk about these meanings, can be developed in humans and robots. Particular emphasis is put on the hypothesis that structured conceptual and linguistic meanings form within the flow of structured social interaction loops, which themselves act as a frame that guides the infant. The dialog also discusses how linguistic grammatical constructions interact with a sensorimotor system which may have itself a full-blown grammatical organization, which opens in itself stimulating research avenues.

=== New dialog initiated by Katerina Pastra
=== "Autonomous Acquisition of Sensorimotor Experiences: Any Role for Language?
Then, a new dialog initiation by Katerina Pastra formulates a bold hypothesis: language as a communication system may have evolved as a byproduct of language as a tool for (self-)organizing conceptual structures.
Those of you interested in reacting to this dialog initiation are welcome to submit a response (contact pierre-yves.oudeyer at inria.fr) by March 30th, 2014. The length of each response must be between 600 and 800 words (including references).

Seizing the opportunity of the approaching tenth anniversary of the Newsletter with continuously renewed scientific dialogues, an updated "look and feel? for the newsletter was designed by Fabien Benureau, who is the new editorial assistant of the newsletter. I would like to thank Fabien, and I hope everyone will enjoy it.

Let me remind you that previous issues of the newsletter are all open-access and available at: http://www.cse.msu.edu/amdtc/amdnl/

I wish you a stimulating reading!

Best regards,

Pierre-Yves Oudeyer,

Editor of the IEEE CIS Newsletter on Autonomous Mental Development
Research director, Inria
Head of Flower project-team
Inria and Ensta ParisTech, France
http://www.pyoudeyer.com
https://flowers.inria.fr

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From v.steuber at herts.ac.uk  Wed Dec 18 16:25:04 2013
From: v.steuber at herts.ac.uk (Steuber, Volker)
Date: Wed, 18 Dec 2013 21:25:04 +0000
Subject: Connectionists: PhD studentship in rehabilitation robotics /
 computational neuroscience
Message-ID: <18EF08266D889C41A14D1099C7102CE2BDF6B6B17A@UH-MAILSTOR.herts.ac.uk>

We invite applications for a PhD studentship in the Centre for Computer Science and Informatics Research at the University of Hertfordshire. The project will involve the design of adaptive rehabilitation and assistive robotics systems that are based on computational models of the cerebellum. For informal enquiries contact Dr Farshid Amirabdollahian (f.amirabdollahian2 at herts.ac.uk) or Dr Volker Steuber (v.steuber at herts.ac.uk). More information can be found on our webpages:

http://homepages.stca.herts.ac.uk/~fa08aap/ (Amirabdollahian)

http://homepages.stca.herts.ac.uk/~comqvs/ (Steuber)

and in our publications, for example

Radhika Chemuturi, Farshid Amirabdollahian and Kerstin Dautenhahn (2013). Adaptive training algorithm for robot-assisted upper-arm rehabilitation, applicable to individualised and therapeutic human-robot interaction. Journal of Neuroengineering and Rehabilitation 10:102.

Reinoud Maex and Volker Steuber (2013). An integrator circuit in cerebellar cortex. European Journal of Neuroscience 38, 2917-32. 

Volker Steuber and Dieter Jaeger (2012). Modeling the generation of output by the cerebellar nuclei. Neural Networks 47, 112-119.

Farshid Amirabdollahian and Garth Johnson (2011). Analysis of the results from use of haptic peg-in-hole task for assessment in neurorehabilitation. Journal of Applied Bionics and Biomechanics 8, 1-11.

Jason Rothman, Laurence Cathala, Volker Steuber and R. Angus Silver (2009). Synaptic depression enables neuronal gain control. Nature 457, 1015-1018.

Farshid Amirabdollahian, Rui Loureiro, Elizabeth Gradwell, Christine Collin, William Harwin, Garth Johnson (2007). Multivariate Analysis of the Fugl-Meyer Outcome Measures Assessing the Effectiveness of the GENTLE/S Robot-Mediated Stroke Therapy. Journal of Neuroengineering and Rehabilitation 4:4.

Applicants should have good computational and numerical skills and an excellent first degree in computer science, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,600 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Information about the current tuition fees can be found under http://www.herts.ac.uk/apply/fees-and-funding.

Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London.

Application forms should be returned to Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 20 January 2014. 


From Colin.Wise at uts.edu.au  Wed Dec 18 19:26:05 2013
From: Colin.Wise at uts.edu.au (Colin Wise)
Date: Thu, 19 Dec 2013 11:26:05 +1100
Subject: Connectionists: Season's Greetings from UTS: Advanced Analytics
	Institute (AAi)
Message-ID: <7385_1387480067_rBJJ7km2016955_8112393AA53A9B4A9BDDA6421F26C68A016E461F8E3E@MAILBOXCLUSTER.adsroot.uts.edu.au>



Dear Colleague,

Season's Greetings from UTS: Advanced Analytics Institute (AAi)
http://analytics.uts.edu.au/index.html


[cid:image002.jpg at 01CEFCAD.1B01D610]

        [cid:image004.jpg at 01CEFCAD.1B01D610]






















Thank you for your support in 2013 and we look forward to working with you in 2014.

An overview of 2014 AAi Public Short Courses Schedule - http://analytics.uts.edu.au/shortcourses/schedule.html  and we also do in-house corporate training.

We are happy to discuss all aspects of Advanced Analytics education and consulting for you and your organisation.

Regards


Colin Wise
Operations Manager

Faculty of Engineering & IT
The Advanced Analytics Institute

[cid:image007.png at 01CEFB1E.2075E130]

University of Technology, Sydney
Blackfriars Campus Building 2, Level 1
Tel. +61 2 9514 9267
M. 0448 916 589
Email: Colin.Wise at uts.edu.au<mailto:Colin.Wise at uts.edu.au>
AAI:  www.analytics.uts.edu.au/<http://www.analytics.uts.edu.au/>


AAI Email Policy - should you wish to not receive this periodic communication on Data Analytics Learning please reply to our email (to sender) with UNSUBSCRIBE in the Subject. We will delete you from our database. Thank you for your past and future support.


UTS CRICOS Provider Code: 00099F
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From erik at oist.jp  Thu Dec 19 21:36:09 2013
From: erik at oist.jp (Erik De Schutter)
Date: Fri, 20 Dec 2013 11:36:09 +0900
Subject: Connectionists: Announcing Okinawa Computational Neuroscience
	Course 2014
Message-ID: <61C6E36B-3432-492E-9474-E87774ED074B@oist.jp>

OKINAWA COMPUTATIONAL NEUROSCIENCE COURSE 2014
          Methods, Neurons, Networks and Behaviors
                         June 16 - July 3, 2014
     Okinawa Institute of Science and Technology, Japan
                     https://groups.oist.jp/ocnc

The aim of the Okinawa 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 16th through July 3rd, 2014 at an oceanfront
seminar house of the Okinawa Institute of Science and Technology Graduate
University. Applications will open on January 6th and are through the course 
web page (https://groups.oist.jp/ocnc) only; they will close February 9th, 2014. 
Applicants are required to propose a project at the time of application. 
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. We invite those who are interested
in integrating experimental and computational approaches at each level, as
well as in bridging different levels of complexity.

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)
	? Tomoki Fukai (RIKEN, Japan)
	? Bernd Kuhn (OIST)
	? Javier Medina (University of Pennsylvania, USA)
	? Abigail Morrison (Forschungszentrum J?lich, Germany)
	? Yael Niv (Princeton University, USA)
	? Tony Prescott (University of Sheffield, UK)
	? Magnus Richardson (University of Warwick, UK)
	? Bernardo Sabatini (Harvard University, USA)
	? Ivan Soltesz (UC Irvine, USA)
	? Greg Stephens (OIST)
	? Greg Stuart (Eccles Institute of Neuroscience, Australia)
	? Josh Tenenbaum (MIT, USA)
	? Jeff Wickens (OIST)
	? Yoko Yazaki-Sugiyama (OIST)



From sala038 at aucklanduni.ac.nz  Thu Dec 19 21:42:57 2013
From: sala038 at aucklanduni.ac.nz (shafiq burki)
Date: Fri, 20 Dec 2013 15:42:57 +1300
Subject: Connectionists: PAKDD 3rd workshop of BIO-Inspired Data mining
	Techniques
Message-ID: <CAAxMm70dE3F5o6ktzgq690qfZ3csVWaUx2ON=rrb8RehXdu-YA@mail.gmail.com>

Call For Papers: PAKDD 3rd workshop on "Biologically Inspired Techniques
for Data Mining (BDM'14)

**********************************
Apologies for Multiple postings....
(deadline: 15, January 2014)
***********************************************************

++++++++++++++++++++++++++++++++++++++++++
To submit your paper use the following link:
Web site: https://conference.fos.auckland.ac.nz/bdm/bdm14/index.html
Submission page: https://www.easychair.org/conferences/?conf=bdm14

++++++++++++++++++++++++++++++++++++++


PAKDD 3rd workshop on "Biologically Inspired Techniques for Data Mining
(BDM'14)", is to be held in conjunction with 18th Pacific-Asia Conference
on Knowledge Discovery and Data Mining (PAKDD'14 ), 13-16 May, 2014,
Tainan, Taiwan. PAKDD is one of the major conferences in knowledge
discovery and data mining.

The workshop calls for high quality research papers outlining current
research, literature surveys, theoretical and empirical studies, and other
relevant work including but not limited to the following areas:

1. Particle Swarm Optimization (PSO)
PSO based clustering
PSO based classification
PSO based outlier detection
PSO based feature selection

2. Ant Colony Optimization (ACO)
ACO based clustering
ACO based classification
ACO based outlier detection
ACO based feature selection
ACO based rules mining
ACO based sequential patterns mining

3. Artificial Neural Networks (ANN)
ANN based pattern matching and discovery
Classification rules discovery using ANN
Forecasting and prediction analysis using ANN

4. Genetic Algorithms (GAs)
Clustering, classification and parameter tuning using GAs
GAs based feature extraction and selection
Learning Classifier Systems

5. Artificial Immune System(AIS)
AIS for intrusion detection
AIS for data clustering
AIS for decision support system

6. Fuzzy Systems (FS) and biologically inspired techniques
Fuzzy clustering
Fuzzy classification
Fuzzy Association rules discovery

7. Bee Colony Optimization (BCO)
BCO for pattern matching
Clustering using BCO
8. Evolutionary Neural Nets, Evolutionary SVMs, and Evolutionary Decision
Trees

9. Computational Intelligence in Recommender System


++++++++++++++++++++++++++++++++++++++++++
To submit your paper use the following link:
https://www.easychair.org/conferences/?conf=bdm14
++++++++++++++++++++++++++++++++++++++
For more information please contact:
Dr. Shafiq Alam, University of Auckland, New Zealand.
sala038 at aucklanduni.ac.nz
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From cookie at ucsd.edu  Wed Dec 18 20:10:53 2013
From: cookie at ucsd.edu (Santamaria, Cookie)
Date: Thu, 19 Dec 2013 01:10:53 +0000
Subject: Connectionists: 2nd Winter q-bio Mtg in HAWAII Feb. 2014 ***Early
 bird reg deadline DEC. 20, 2013***
In-Reply-To: <E3EF7B1A-A6F6-4D67-8B4E-C88889E783E4@ucsd.edu>
References: <E3EF7B1A-A6F6-4D67-8B4E-C88889E783E4@ucsd.edu>
Message-ID: <C7B5EF02F86AAE478060201138C5330A476D2BD8@XMAIL-MBX-BH2.AD.UCSD.EDU>


EARLY BIRD REGISTRATION DEADLINE: ***FRIDAY December 20, 2013***
https://www.uhbooks.hawaii.edu/conference/qbio2014.asp

THE SECOND ANNUAL WINTER Q-BIO MEETING
Quantitative Biology on the Hawaiian Islands
February 17-20, 2014
http://w-qbio.org/

The Winter q-bio meeting brings together scientists and engineers who are interested in all areas of q-bio. The venue for 2014 is the Hilton Waikoloa Village<http://www.hiltonwaikoloavillage.com/>, which is located on the Kohala Coast of Hawaii's Big Island. The resort lets you experience breathtaking tropical gardens, abundant wildlife, award-winning dining, world-class shopping, art and culture, and an array of activities. The Island of Hawaii is the youngest and biggest in the Hawaiian chain, providing a vast canvas of environments to discover--home of one of the world's most active volcanoes (Kilauea), the most massive mountain in the world (Maunaloa), and the largest park in the state (Hawaii Volcanoes National Park).

SPONSORED BY:
UC San Diego BioCircuits Institute and the San Diego Center for Systems Biology
The University of Hawaii at Manoa
UC San Diego Divisions of Biological Sciences and Engineering
The Office of Naval Research

2014 CONFIRMED SPEAKERS:
Naama Barkai, The Weizmann Institute of Science
Sangeeta Bhatia Massachusetts Institute of Technology
Hana El-Samad, University of California, San Francisco
Zev Gartner, University of California, San Francisco
Taekjip Ha, University of Illinois
Shigeru Kondo, Osaka University
Arthur Lander, University of California, Irvine
Andrew Murray, Harvard University
Steve Quake, Stanford University
Petra Schwille, Max Planck Institute
Jagesh Shah, Harvard Medical School
Christina Smolke, Stanford University
Aleksandra Walczak, Laboratoire de Physique Th?orique

CONFERENCE ORGANIZERS:
Kevin Bennett, University of Hawaii at Manoa
William Ditto, University of Hawaii at Manoa
Hana El-Samad, University of California, San Francisco
Jeff Hasty, University of California, San Diego
Alexander Hoffmann, University of California, San Diego
Galit Lahav, Harvard University
Eva-Maria Schoetz-Collins, University of California, San Diego
Chao Tang, Peking University
Lev Tsimring, University of California, San Diego

***REGISTRATION NOW OPEN***
Registration fee covers conference venue, registration reception, banquet, coffee & snacks.

EARLY BIRD REGISTRATION ($500/$425 Student) DEADLINE: December 20, 2013
REGULAR REGISTRATION ($600/$525 Student) DEADLINE: January 31, 2014
LATE REGISTRATION ($675/$600 Student) After January 31, 2014

REGISTER NOW: http://w-qbio.org/

HOTEL:  A block of rooms has been reserved for registered conference participants at a negotiated rate of $199 per night at the Hilton Waikoloa Village<http://www.hiltonwaikoloavillage.com/>. The rooms will be available soon on a first-come, first-served basis, so book early!

DEADLINE TO SUBMIT ABSTRACTS HAS PASSED

We encourage you to forward this message to any colleagues that may be interested in taking part in this exciting event.

Questions should be emailed to: coordinator at w-qbio.org<mailto:coordinator at w-qbio.org>
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From areynolds2 at vcu.edu  Fri Dec 20 19:00:52 2013
From: areynolds2 at vcu.edu (Angela M Reynolds)
Date: Fri, 20 Dec 2013 19:00:52 -0500
Subject: Connectionists: ABSTRACT DEADLINE 12/22/2013: Conference & Bard
 Ermentrout's 60th Birthday: Nonlinear Dynamics and Stochastic Methods
Message-ID: <CAEnUCfxaTGtriAWDctggTd_-exav5Ffiuaa8Pg1YNoxwPvfRHQ@mail.gmail.com>

Nonlinear dynamics and stochastic methods: from neuroscience to other
biological applications

March 10-12, 2014

Pittsburgh, PA



This conference on nonlinear dynamics and stochastic methods will bring
together a mix of senior and junior scientists to report on theoretical
methods that proved successful in mathematical neuroscience, and to
encourage their dissemination and application to modeling in computational
medicine and other biological fields. *This conference will coincide with a
celebration of G. Bard Ermentrout's sixtieth birthday. *The invited
speakers will present on mathematical topics such as dynamical systems,
multi-scale modeling, phase resetting curves, pattern formation and
statistical methods. The mathematical tools will be demonstrated in the
context of the following main topics: i) Rhythms in biological systems; ii)
The geometry of systems with multiple time scales; iii) Pattern formation
in biological systems; iv) Stochastic models: statistical methods and mean
field approximations.


The conference runs from March 10-12, 2014 at the University of Pittsburgh,
Pittsburgh, PA. Travel support may become available for young
investigators. Currently, this conference is partial funded by the
Mathematical Biosciences Institute and the University of Pittsburgh.


REGISTRATION, ABSTRACT SUBMISSION, AND SCHEDULE:

http://homepage.math.uiowa.edu/~rcurtu/conferencePitt2014.htm

Important Dates: December 22, 2013: Deadline for travel award application
and abstract submission.


SPONSORS:

Department of Mathematics, University of Pittsburgh

Mathematical Biosciences Institute

National Science Foundation (pending)


CONTACT:  rodica-curtu at uiowa.edu or areynolds2 at vcu.edu


*Confirmed Speakers:*

Paul Bressloff (University of Utah)

Carson Chow (National Institutes of Health)

Sharon Crook (Arizona State University)

Jack Cowan (University of Chicago)

Jonathan Drover (Cornell Medical College, NYC)

Leah Edelstein-Keshet (University of British Columbia, Vancouver - Canada)
Roberto Fernandez Galan (Case Western Reserve University)

Pranay Goel (Indian Institute of Science, Education and Research, Pune -
India)

Boris Gutkin (Ecole Normale Superieure/ ENS, Paris - France)

Zachary Kilpatrick (University of Houston)

Nancy Kopell (Boston University)

Cheng Ly (Virginia Commonwealth University)

Remus Osan (Georgia State University)

George Oster (University of California, Berkeley)

John Rinzel (New York University)

Jonathan Rubin (University of Pittsburgh)

Daniel Simons (University of Pittsburgh)

David Terman (Ohio State University)

If you have questions now please contact one of the organizers, Angela
Reynolds, areynolds2 at vcu.edu <areynolds at vcu.edu>, or Rodica Curtu,
rodica-curtu at uiowa.edu.



Virginia Commonwealth University
Department of Mathematics and Applied Mathematics
Assistant Professor
areynolds2 at vcu.edu
804-828-5664
Grace Harris Hall 4176
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From jbednar at inf.ed.ac.uk  Fri Dec 20 18:36:58 2013
From: jbednar at inf.ed.ac.uk (James A. Bednar)
Date: Fri, 20 Dec 2013 23:36:58 +0000
Subject: Connectionists: Fully reproducible cortical modelling
Message-ID: <21172.54426.166908.160251@hebb.inf.ed.ac.uk>

We are pleased to announce the availability of a comprehensive new
example of modelling topographic maps in the visual cortex, suitable
as a ready-to-run starting point for future research.  This example
consists of:

1. A new J. Neuroscience paper (Stevens et al. 2013a) describing
   the GCAL model and showing that is is stable, robust, and adaptive,
   developing orientation maps like those observed in ferret V1.

2. A new open-source Python software package, Lancet, for launching
   simulations and collating the results into publishable figures.

3. A new Frontiers in Neuroinformatics paper (Stevens et al. 2013b)
   describing a lightweight and practical workflow for doing
   reproducible research using Lancet and IPython.

4. An IPython notebook showing the precise steps necessary to
   reproduce the 842 simulation runs required to reproduce the
   complete set of figures and text of Stevens et al. (2013a),
   using the Topographica simulator (topographica.org).

5. A family of Python packages that were once part of Topographica but
   are now usable by a broader audience. These packages include
   'param' for specifying parameters declaratively, 'imagen' for
   defining 0D, 1D, and 2D distributions (such as visual stimuli), and
   'featuremapper' for analyzing the activity of neural populations
   (e.g. to estimate receptive fields, feature maps, or tuning curves).

The resulting recipe for building mechanistic models of cortical map
development should be an excellent way for new researchers
to start doing work in this area.

Jean-Luc R. Stevens, Judith S. Law, Jan Antolik,
Philipp Rudiger, Chris Ball, and James A. Bednar

Computational Systems Neuroscience Group
The University of Edinburgh
http://homepages.inf.ed.ac.uk/jbednar/research.html

_______________________________________________________________________________

1. STEVENS et. al. 2013a: GCAL model

Our recent paper:

   Jean-Luc R. Stevens, Judith S. Law, Jan Antolik, and James
   A. Bednar. Mechanisms for stable, robust, and adaptive
   development of orientation maps in the primary visual cortex.
   Journal of Neuroscience, 33:15747-15766, 2013.
   http://dx.doi.org/10.1523/JNEUROSCI.1037-13.2013

shows how the GCAL model was designed to replace previous models of V1
development that were unstable and not robust.  The model in this
paper accurately reproduces the process of orientation map development
in ferrets, as illustrated in this animation comparing GCAL, a simpler
model, and chronic optical imaging data from ferrets:

   http://homepages.inf.ed.ac.uk/jbednar/gcal_stab.html


2. LANCET

Lancet is a lightweight Python package that offers a set of flexible
components to allow researchers to declare their intentions succinctly
and reproducibly. Lancet makes it easy to specify a parameter space,
run jobs, and collate the output from an external simulator or
analysis tool. The approach is fully general, to allow the researcher
to switch between different software tools and platforms as necessary.
Lancet can be obtained from:

   http://ioam.github.io/lancet


3. STEVENS et. al. 2013b: LANCET/IPYTHON workflow

   Jean-Luc R. Stevens, Marco I. Elver, and James A. Bednar.
   An Automated and Reproducible Workflow for Running and Analyzing
   Neural Simulations Using Lancet and IPython Notebook.
   Frontiers in Neuroinformatics, in press, 2013.
   http://www.frontiersin.org/Journal/10.3389/fninf.2013.00044/abstract

Lancet is designed to integrate well into an exploratory workflow
within the Notebook environment offered by the IPython project. In an
IPython notebook, you can generate data, carry out analyses, and plot
the results interactively, with a complete record of all the code used.
Together with Lancet, it becomes practical to automate every step
needed to generate a publication within IPython Notebook, concisely
and reproducibly.  This new paper describes the reproducible workflow
and shows how to use it in your own projects.


4. NOTEBOOKS for Stevens et al. 2013a

As an extended example of how to use Lancet with IPython to do
reproducible research, the complete recipe for reproducing Stevens et
al. 2013a is available in models/stevens.jn13 of Topographica's GitHub
repository.  The first of two notebooks defines the model, alternating
between code specification, a textual description of the key model
properties with figures, and interactive visualization of the model's
initial weights and training stimuli. The second notebook can be run
to quickly generate the last three published figures (at half
resolution) but can also launch all 842, high-quality simulations
needed to reproduce all the published figures in the paper.  Static
copies of these notebooks, along with instructions for downloading
runnable versions, can be viewed here:

   http://topographica.org/_static/gcal.html
   http://topographica.org/_static/stevens_jn13.html


5. PARAM, IMAGEN, and FEATUREMAPPER

The Topographica simulator has been refactored into several fully
independent Python projects available on GitHub (http://ioam.github.io).
These projects are intended to be useful to a wide audience of both
computational and experimental neuroscientists:

   param: The parameters offered by param allow scientific Python
   programs to be written declaratively, with type and range checking,
   optional documentation strings, dynamically generated values,
   default values and many other features.

   imagen: Imagen offers a set of 0D,1D and 2D pattern
   distributions. These patterns may be procedurally generated or
   loaded from files. They can be used to generate simple scalar
   values, such as values drawn from a specific random distribution,
   or for generating complex, resolution-independent composite image
   pattern distributions typically used as visual stimuli (e.g. Gabor
   and Gaussian patches or masked sinusoidal gratings).

   featuremapper: Featuremapper allows the response properties of a
   neural population to be measured from any simulator or experimental
   setup that can give estimates of the neural activity values in
   response to an input pattern. Featuremapper may be used to measure
   preference and selectivity maps for various stimulus features (e.g
   orientation and direction of visual stimuli, or frequency for
   auditory stimuli), to compute tuning curves for these features, or
   to measure receptive fields, regardless of the underlying
   implementation of the model or experimental setup.

_______________________________________________________________________________

@Article{stevens:jn13,
     title        = "Mechanisms for Stable, Robust, and Adaptive
                     Development of Orientation Maps in the Primary
                     Visual Cortex",
     author       = "Jean-Luc R. Stevens and Judith S. Law and
                     J\'{a}n Antol\'{i}k and James A. Bednar",
     year         = 2013,
     journal      = "Journal of Neuroscience",
     volume       = "33",
     pages        = "15747-15766",
     url          = "http://dx.doi.org/10.1523/JNEUROSCI.1037-13.2013",
     urlalt       = "http://homepages.inf.ed.ac.uk/jbednar/papers/stevens.jn13.pdf",
     abstract     = "Development of orientation maps in ferret and cat
         primary visual cortex (V1) has been shown to be stable, in that
         the earliest measurable maps are similar in form to the eventual
         adult map, robust, in that similar maps develop in both dark
         rearing and in a variety of normal visual environments, and yet
         adaptive, in that the final map pattern reflects the statistics
         of the specific visual environment. How can these three
         properties be reconciled? Using mechanistic models of the
         development of neural connectivity in V1, we show for the first
         time that realistic stable, robust, and adaptive map development
         can be achieved by including two low-level mechanisms originally
         motivated from single-neuron results. Specifically, contrast
         gain control in the retinal ganglion cells and the lateral
         geniculate nucleus reduces variation in the presynaptic drive
         due to differences in input patterns, while homeostatic
         plasticity of V1 neuron excitability reduces the postsynaptic
         variability in firing rates. Together these two mechanisms,
         thought to be applicable across sensory systems in general, lead
         to biological maps that develop stably and robustly, yet adapt
         to the visual environment. The modeling results suggest that
         topographic map stability is a natural outcome of low-level
         processes of adaptation and normalization. The resulting model
         is more realistic, simpler, far more robust, and is thus a good
         starting point for future studies of cortical map development.",
}

@Article{stevens:fin13,
    author       = "Jean-Luc R. Stevens and Marco I. Elver and James
                    A. Bednar",
    title        = "An Automated and Reproducible Workflow for Running
                    and Analyzing Neural Simulations Using {Lancet} and
                    {IPython} {Notebook}",
    journal      = "Frontiers in Neuroinformatics",
    year         = 2013,
    note         = "In press",
    url          = "http://www.frontiersin.org/neuroinformatics/10.3389/fninf.2013.00044/abstract",
    abstract     = "Lancet is a new, simulator-independent Python
                    utility for succinctly specifying, launching, and
                    collating results from large batches of interrelated
                    computationally demanding program runs. This paper
                    demonstrates how to combine Lancet with IPython
                    Notebook to provide a flexible, lightweight, and
                    agile workflow for fully reproducible scientific
                    research.  This informal and pragmatic approach uses
                    IPython Notebook to capture the steps in a
                    scientific computation as it is gradually automated
                    and made ready for publication, without mandating
                    the use of any separate application that can
                    constrain scientific exploration and innovation.
                    The resulting notebook concisely records each step
                    involved in even very complex computational
                    processes that led to a particular figure or
                    numerical result, allowing the complete chain of
                    events to be replicated automatically.
                    Lancet was originally designed to help solve
                    problems in computational neuroscience, such as
                    analyzing the sensitivity of a complex simulation to
                    various parameters, or collecting the results from
                    multiple runs with different random starting points.
                    However, because it is never possible to know in
                    advance what tools might be required in future
                    tasks, Lancet has been designed to be completely
                    general, supporting any type of program as long as
                    it can be launched as a process and can return
                    output in the form of files. For instance, Lancet is
                    also heavily used by one of the authors in a
                    separate research group for launching batches of
                    microprocessor simulations.  This general design
                    will allow Lancet to continue supporting a given
                    research project even as the underlying approaches
                    and tools change.",
}

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.


From grlmc at urv.cat  Sat Dec 21 11:11:45 2013
From: grlmc at urv.cat (GRLMC)
Date: Sat, 21 Dec 2013 17:11:45 +0100
Subject: Connectionists: AlCoB 2014: 3rd call for papers
Message-ID: <3D69799502A641DCBA46CAF0DC5C9DED@Carlos1>

*To be removed from our mailing list, please respond to this message with
UNSUBSCRIBE in the subject line*


*********************************************************************

1st INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY

AlCoB 2014

Tarragona, Spain

July 1-3, 2014

Organized by:

Research Group on Mathematical Linguistics (GRLMC)
Rovira i Virgili University

http://grammars.grlmc.com/alcob2014/

*********************************************************************


AIMS:

AlCoB aims at promoting and displaying excellent research using string and
graph algorithms and combinatorial optimization to deal with problems in
biological sequence analysis, genome rearrangement, evolutionary trees, and
structure prediction.

The conference will address several of the current challenges in
computational biology by investigating algorithms aimed at: 1) assembling
sequence reads into a complete genome, 2) identifying gene structures in the
genome, 3) recognizing regulatory motifs, 4) aligning nucleotides and
comparing genomes, 5) reconstructing regulatory networks of genes, and 6)
inferring the evolutionary phylogeny of species.

Particular focus will be put on methodology and significant room will be
reserved to young scholars at the beginning of their career.

VENUE:

AlCoB 2014 will take place in Tarragona, located 90 kms. to the south of
Barcelona. The venue will be the Catalunya Campus.

SCOPE:

Topics of either theoretical or applied interest include, but are not
limited to:

Exact sequence analysis
Approximate sequence analysis
Pairwise sequence alignment
Multiple sequence alignment
Sequence assembly
Genome rearrangement
Regulatory motif finding
Phylogeny reconstruction
Phylogeny comparison
Structure prediction
Compressive genomics
Proteomics: molecular pathways, interaction networks ...
Transcriptomics: splicing variants, isoform inference and quantification,
differential analysis 

Next-generation sequencing: population genomics, metagenomics,
metatranscriptomics ...
Microbiome analysis
Systems biology

STRUCTURE:

AlCoB 2014 will consist of:

invited talks
invited tutorials
peer-reviewed contributions

INVITED SPEAKERS:

Michael Galperin (National Center for Biotechnology Information, Bethesda),
Comparative Genomics Approaches to Identifying Functionally Related Genes

Uwe Ohler (Max-Delbr?ck Centre for Molecular Medicine, Berlin), Decoding
Non-coding Regulatory Regions in DNA and RNA (tutorial)

Jason Papin (University of Virginia, Charlottesville), Network Analysis of
Microbial Pathogens

PROGRAMME COMMITTEE:

Tatsuya Akutsu (Kyoto, JP)
Amihood Amir (Ramat-Gan, IL)
Alberto Apostolico (Atlanta, US)
Joel Bader (Baltimore, US)
Pierre Baldi (Irvine, US)
Serafim Batzoglou (Stanford, US)
Bonnie Berger (Cambridge, US)
Francis Y.L. Chin (Hong Kong, HK)
Benny Chor (Tel Aviv, IL)
Keith A. Crandall (Washington, US)
Bhaskar DasGupta (Chicago, US)
Joaqu?n Dopazo (Valencia, ES)
Liliana Florea (Baltimore, US)
Olivier Gascuel (Montpellier, FR)
David Gilbert (Uxbridge, UK)
Gaston H. Gonnet (Zurich, CH)
Roderic Guig? (Barcelona, ES)
Dan Gusfield (Davis, US)
Vasant Honavar (University College, US)
Sorin Istrail (Providence, US)
Tao Jiang (Riverside, US)
Inge Jonassen (Bergen, NO)
Anders Krogh (Copenhagen, DK)
Giovanni Manzini (Alessandria, IT)
Carlos Mart?n-Vide (Tarragona, ES, chair)
Satoru Miyano (Tokyo, JP)
Burkhard Morgenstern (G?ttingen, DE)
Shinichi Morishita (Tokyo, JP)
C?dric Notredame (Barcelona, ES)
Graziano Pesole (Bari, IT)
Mark Ragan (Brisbane, AU)
Timothy Ravasi (Thuwal, SA)
Allen G. Rodrigo (Durham, US)
Steven Salzberg (Baltimore, US)
David Sankoff (Ottawa, CA)
Thomas Schiex (Toulouse, FR)
Jo?o C. Setubal (S?o Paulo, BR)
Steven Skiena (Stony Brook, US)
Peter F. Stadler (Leipzig, DE)
Wing-Kin Sung (Singapore, SG)
Alfonso Valencia (Madrid, ES)
Jacques van Helden (Marseille, FR)
Arndt von Haeseler (Vienna, AT)
Lusheng Wang (Hong Kong, HK)
Limsoon Wong (Singapore, SG)
Xiaohui Xie (Irvine, US)
Dong Xu (Columbia, US)
Zohar Yakhini (Santa Clara, US)
Alex Zelikovsky (Atlanta, US)
Michael Q. Zhang (Dallas, US)

ORGANIZING COMMITTEE:

Adrian Horia Dediu (Tarragona)
Carlos Mart?n-Vide (Tarragona, chair)
Bianca Truthe (Magdeburg)
Florentina Lilica Voicu (Tarragona)

SUBMISSIONS:

Authors are invited to submit non-anonymized papers in English presenting
original and unpublished research. Papers should not exceed 12 single-spaced
pages (including eventual appendices) and should be formatted according to
the standard format for Springer Verlag's LNCS series (see
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

Submissions have to be uploaded to:

https://www.easychair.org/conferences/?conf=alcob2014

PUBLICATIONS:

A volume of proceedings published by Springer in the LNCS/LNBI series will
be available by the time of the conference.

A special issue of IEEE/ACM Transactions on Computational Biology and
Bioinformatics (TCBB, 2012 impact factor: 1.616) will be later published
containing peer-reviewed extended versions of some of the papers contributed
to the conference. Submissions to it will be by invitation.

REGISTRATION:

The period for registration is open from September 21, 2013 to July 1, 2014.
The registration form can be found at:

http://grammars.grlmc.com/alcob2014/Registration.php

DEADLINES:

Paper submission: February 4, 2014 (23:59 CET)
Notification of paper acceptance or rejection: March 15, 2014
Final version of the paper for the LNCS/LNBI proceedings: March 22, 2014
Early registration: March 29, 2014
Late registration: June 17, 2014
Starting of the conference: July 1, 2014
End of the conference: July 3, 2014
Submission to the post-conference TCBB special issue: October 3, 2014

QUESTIONS AND FURTHER INFORMATION:

florentinalilica.voicu at urv.cat

POSTAL ADDRESS:

AlCoB 2014
Research Group on Mathematical Linguistics (GRLMC)
Rovira i Virgili University
Av. Catalunya, 35
43002 Tarragona, Spain

Phone: +34 977 559543
Fax: +34 977 558386

ACKNOWLEDGEMENTS:

Departament d?Economia i Coneixement, Generalitat de Catalunya
Universitat Rovira i Virgili



From irodero at cac.rutgers.edu  Sat Dec 21 03:30:49 2013
From: irodero at cac.rutgers.edu (Ivan Rodero)
Date: Sat, 21 Dec 2013 03:30:49 -0500
Subject: Connectionists: CSWC 2014 - Call for Papers
In-Reply-To: <22CF346C-98EC-4D5B-9500-D0B9FE60551A@rutgers.edu>
References: <51EC7783-DCAD-4364-B1DC-576C726BAA31@rutgers.edu>
 <A3268A87-2686-4D90-B817-9E1B340EAE5B@rutgers.edu>
 <6F339279-23CD-4553-95DF-B1F906F948E3@rutgers.edu>
 <FC60849F-46B5-4F22-8B92-2805B877FE28@rutgers.edu>
 <0957F75F-5AB9-4144-B62D-87D225B34E42@rutgers.edu>
 <A8A21F51-A1B1-4D34-A774-26FBA4982BBE@rutgers.edu>
 <A56F46BC-0955-4734-A683-A66A88234352@rutgers.edu>
 <22CF346C-98EC-4D5B-9500-D0B9FE60551A@rutgers.edu>
Message-ID: <99D17D7E-34C0-47B7-B641-C756E67D169A@rutgers.edu>

--------------------------------------------------------------------------------------------------

Please accept our apologies if you receive multiple copies of this CFP!

--------------------------------------------------------------------------------------------------

============================================================

4th International Workshop on Cloud Services and Web 2.0 Technologies for Collaboration (CSWC 2014)
As part of The 2014 International Conference on Collaboration Technologies and Systems (CTS 2014)

http://cts2014.cisedu.info/2-conference/workshops/workshop-01-cswc

May 19-23, 2014
The Commons Hotel, Minneapolis, Minnesota, USA
In Cooperation with ACM, IEEE, and IFIP (Pending)

Submission Deadline: January 14, 2014

Submissions could be for full papers, short papers, poster papers, or posters

============================================================

SCOPE AND OBJECTIVES

Recent technology directions have highlighted the remarkable commercial developments in the cloud arena combined with a suite of Web 2.0 technologies around mashups, gadgets and social networking.  These have clear relevance to collaborative systems and sensor grids that involve evolution of grid architectures to clouds or to fresh approaches such as social networking to building virtual organizations.  This workshop explores this area and invites exploratory papers as well as mature research contributions.  

CSWC Possible topics include but are not limited to: 

	? Performance and experience using Clouds and Web 2.0 to support sensors or collaboration
	? Relation of Grids and Clouds in their application to sensors or collaboration
	? Data driven applications and use of emerging technologies like Mashups, gadgets and Hadoop
	? Clouds for Social Networking and Virtual Organizations
	? Security, Privacy, and Trust issues in Clouds and Web 2.0
	? MapReduce
	? Virtualization
	? Interoperability and Standardization
	? e-Science
	? Architectures
	? Services and Applications
	? Models for Managing Clouds of Clouds and including Inter-networking
	? Mobile clouds -- Architectures and Performance

SUBMISSION INSTRUCTIONS:

You are invited to submit original and unpublished research works on above and other topics related to Cloud services and Web 2.0 technologies for Collaboration, distributed sensing and related topics.  Submitted papers must not have been published or simultaneously submitted elsewhere.  Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and email addresses.  Please, indicate clearly the corresponding author and include up to 6 keywords from the above list of topics and an abstract of no more than 400 words.  The full manuscript should be at most 8 pages using the two-column IEEE format.  Additional pages will be charged additional fee.  Short papers (up to 4 pages), poster papers and poster (please refer to http://cts2014.cisedu.info/home/posters   for the posters submission details)  will also be accepted.  Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments.  

Submit a PDF copy of your full manuscript via email to the workshop organizers at 

https://www.easychair.org/conferences/?conf=cswc2014.   

Only PDF files will be accepted, sent by email to the workshop organizers.  Each paper will receive a minimum of three reviews.  Papers will be selected based on their originality, relevance, contributions, technical clarity, and presentation.  Submission implies the willingness of at least one of the authors to register and present the paper, if accepted.  Authors of accepted papers must guarantee that their papers will be registered and presented at the workshop.  

Accepted papers will be published in the Conference proceedings.  Instructions for final manuscript format and requirements will be posted on the CTS 2014 Conference web site.  It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference.  The proceedings is projected to be included in the IEEE Digital Library and indexed by all major indexing services accordingly.  

If you have any questions about paper submission or the workshop, please contact the workshop organizers.  

IMPORTANT DATES
Paper Submissions: -------------------------------------- January 14, 2014
Acceptance Notification: --------------------------------  February 07, 2014
Camera Ready Papers and Registration Due: ---------  February 21, 2014
Conference Dates:  ---------------------------------------  May 19 - 23, 2014

WORKSHOP ORGANIZERS:

Geoffrey Charles Fox  
Indiana University - Bloomington, Indiana, USA
gcf at indiana.edu

Ivan Rodero  
Rutgers University, New Jersey, USA
irodero at rutgers.edu

Leandro Navarro  
Universitat Polit?cnica de Catalunya, Spain
leandro at ac.upc.edu

Kyle Chard
University of Chicago/Argonne National Laboratory
chard at uchicago.edu

Technical Program Committee:

All submitted papers will be reviewed by the Workshop's technical program committee members following similar criteria used in CTS 2014.  

Ernesto	Damiani, University of Milan
Hangwei Qian, VMware Inc.
Ioan Raicu, Illinois Institute of Technology
Ivan	Rodero, Rutgers University
Luis	Vaquero	, HP Labs	
Choonhan Youn, San Diego Supercomputer Center, University of California, San Diego
Jia	Zhang, Carnegie Mellon University - Silicon Valley
(To be completed)

For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organization, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference?s web site at URL:  http://cts2014.cisedu.info/   or contact one of the Conference's organizers or Co-Chairs.

=============================================================
Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)                                                         
NSF Center for Cloud and Autonomic Computing (CAC)
Department of Electrical and Computer Engineering            
Rutgers, The State University of New Jersey   
Office: CoRE Bldg, Rm 625                                                       
94 Brett Road, Piscataway, NJ 08854-8058
Phone: (732) 993-8837
Fax:   (732) 445-0593
Email: irodero at rutgers dot edu
WWW: http://nsfcac.rutgers.edu/people/irodero
=============================================================

From benoit.frenay at uclouvain.be  Tue Dec 24 04:54:41 2013
From: benoit.frenay at uclouvain.be (=?ISO-8859-1?Q?Beno=EEt_Fr=E9nay?=)
Date: Tue, 24 Dec 2013 10:54:41 +0100
Subject: Connectionists: Neurocomputing Special Issue: Advances in Learning
	with Label Noise
Message-ID: <52B959E1.8050402@uclouvain.be>

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From agostino.gibaldi at unige.it  Sun Dec 29 16:37:08 2013
From: agostino.gibaldi at unige.it (Agostino Gibaldi)
Date: Sun, 29 Dec 2013 22:37:08 +0100
Subject: Connectionists: CFP - Emerging Spatial Competences: From Machine
 Perception to, Sensorimotor Intelligence
Message-ID: <52C09604.30600@unige.it>

Dear Researcher,


We would like to remind you the Special Issue on *"Emerging Spatial 
Competences: From Machine Perception to Sensorimotor Intelligence"*, 
organized by the PSPC Lab (www.pspc.unige.it) for the journal RAS - 
Robotics and Autonomous Systems 
<http://www.journals.elsevier.com/robotics-and-autonomous-systems/>.


The Special Issue (see below for a more detailed description) aims to 
investigate how the mutual influence between the perception of the 
environment and the interaction with it can be extended to support 
co-evolution mechanisms of perceptual and motor processes. Considering 
your expertise in the topics**we would be glad to receive a contribution 
from you. All the received contributions will be refereed by a panel of 
experts according to the policies of the RASjournal.


*We use the occasion to wish you a Merry Christmas and a Happy New Year!!!*


Regards,

Agostino Gibaldi


**

*Robotics and Autonomous Systems Journal*

**

*Special Issue on "Emerging Spatial Competences: From Machine Perception 
to Sensorimotor Intelligence"*


CALL FOR PAPERS

*_Aims and Objectives_*

Following the recent evolution of robotics and AI in different fields of 
application, the increasing complexity of the *actions* that an 
artificial**agent needs to perform, is directly dependent on the 
complexity of the *sensory information *that it can acquire and 
*interpret*, /i.e./ *perceive*.

>From this point of view, an efficient and internal representation of the 
sensory information is at the base of a robot to develop a *human-like 
capability* of interaction with the surrounding environment. 
Particularly, in the space at a *reachable distance*, not only visual 
and auditory, but also tactile and proprioceptive information rise to be 
relevant to gain a comprehensive spatial cognition. This information, 
coming from different senses, can be in principle integrated and used to 
experience an awareness of the environment both to actively interact 
with it, and to calibrate the interaction itself. Besides, the early 
sensory and sensorimotor mechanisms, that at a first glance may appear 
simple processes, are grounded on highly structured and complex 
algorithms that are far from being understood and modeled. By exploiting 
an early synergy between *sensing modules*and *motor control*, the loop 
between action and perception comes to be not just closed at system 
level, but shortened at an inner one. This would allow not only the 
emergence of *spatial competences* but also their *continuous 
adaptation*to changes in the environment or in the body, which could 
modify its interactions with the world.

The aim of this special issue is to survey a state of the art of 
methodologies, concepts, algorithms and techniques that would serve as 
bricks on which to build and develop artificial agents with such a 
spatial competence; perceptual and cognitive understanding of space 
should emerge from sensorimotor exercise.


The *action-perception loop* has never been so close!

*_
Paper Submission_*

We invite original contributions that provide novel solutions to address 
the relevant topics including but not limited to:

  *

    -Theoretical or practical aspects of machine sensing (for computer
    vision, robot audition, artificial touch, etc.)

    -Multisensory data fusion, processing, learning and integration

    -Computational neural modeling

    -Embodied robotics: perception, cognition, and behaviors

    -Machine learning for sensorimotor control and intelligence

    -Neural networks: models, theories, learning algorithms and applications

    -Engineering application of sensorimotor intelligence to pattern
    recognition, computer vision, speech recognition, human-robot
    interactions.

As a follow-up of the IJCNN 2013 special session, we invite in 
particular the special session participants to submit profoundly 
extended versions of their conference submission to go through a new 
peer review process, together with contributions not published in the 
conference proceedings. **

Papers should be typeset according to the format instructions for the 
Robotics and Autonomous Systems Journal, available on the Elsevier web 
site 
(http://www.elsevier.com/journals/robotics-and-autonomous-systems/0921-8890/guide-for-authors). 



*_Important Dates_*

?January 31, 2014: Paper submission deadline

?March 31, 2014: Notification of paper acceptance

?April 30, 2014: Camera ready paper submission

?Late Spring 2014: Expected publication date

*_Guest editors_*

*Agostino Gibaldi*, agostino.gibaldi at unige.it

Department of Informatics, Bioengineering, Robotics and System Engineering

University of Genoa, Italy

Advanced ResearchCenteron Electronic Systems (ARCES)

University of Bologna, Italy

/Agostino Gibaldi received his degree in Biomedical Engineering from the 
University of Genoa, Italy, in 2007, and his Ph.D. in 2011. Since the 
master thesis he is with the Physical Structure of Perception and 
Computation (PSPC) Group where he is actually a post doc. Recently, he 
joined the Computer Vision Group of the //Advanced Research Center on 
Electronic Systems (ARCES), working on data analysis computer aided 
diagnosis for CT perfusion related to tumour lesions. //His research 
interests are related to cortical models of V1, MT and MST areas, in 
relation with the estimation of disparity, the control of vergence eye 
movements, and the optic flow analysis for navigation, for their 
real-time implementation on robot platforms so to obtain active 
behaviours and adaptation to the environment. Aside, he also worked on 
neural networks and learning, eye tracking algorithms, camera 
calibration, 3D data modelling for virtual reality, CT perfusion and 
image registration./

//

*Silvio P. Sabatini* <http://www.pspc.unige.it/>, silvio.sabatini at unige.it

Department of Informatics, Bioengineering, Robotics and System Engineering

University of Genoa, Italy

http://www.pspc.unige.it/~silvio/home/ 
<http://www.pspc.unige.it/%7Esilvio/home/>

/Silvio P. Sabatini received the Laurea Degree in Electronics 
Engineering and the Ph.D. in Computer Science from the //University//of 
//Genoa//in 1992 and 1996. He is currently Associate Professor of 
Bioengineering at the Department of Informatics, Bioengineering, 
Robotics and System Engineering of the //University//of //Genoa//. In 
1995 he promoted the creation of the "Physical Structure of Perception 
and Computation" (PSPC) Lab to develop models that capture the 
"physicalist" nature of the information processing occurring in the 
visual cortex, to understand the signal processing strategies adopted by 
the brain, and to build novel algorithms and architectures for 
artificial perception machines. His research interests relate to visual 
coding and multidimensional signal representation, early-cognitive 
models for visually-guided behavior, and robot vision. He is author of 
more than 100 papers in peer-reviewed journals, book chapters and 
international conference proceedings./

//

*Sylvain Argentieri* <http://people.isir.upmc.fr/argentieri>, 
sylvain.argentieri at upmc.fr

Institute for Intelligent Systems and Robotics (ISIR)

Universit? Pierre et Marie Curie, Paris, France

http://www.isir.upmc.fr/index.php?op=view_profil&id=113&old=N&lang=fr 
<http://www.isir.upmc.fr/index.php?op=view_profil&id=113&old=N%E2%8C%A9=fr>

/Sylvain Argentieri received his Master's degrees in Robotics from the 
Pierre et Marie Curie University, Paris, and in Electronics from Ecole 
Normale Sup?rieure, Cachan, France, in 2003. He then received his Ph.D. 
in Computer Science from the //Paul////Sabatier////University//, 
//Toulouse//, //France//, in 2006. After two years as an Assistant 
Professor at LAAS-CNRS (Laboratory for Analysis and Architecture of 
Systems) in the same University, he is now Associate Professor at the 
"Active Multimodal Perception" group in the Institute for Intelligent 
Systems and Robotics of the //Pierre//et 
//Marie////Curie////University//since 2008. He also obtained in 2002 the 
highest teaching diploma in //France//(Agr?gation externe) in 
Electronical Science. His research interests relate to artificial 
audition in a robotics context, from array processing methods to 
binaural approaches, for sound source localization, speaker recognition, 
human-robot interaction, etc. He is also interested in active approaches 
to multimodal perception and sensorimotor integration./

//

*Zhengping Ji*, jizhengp at gmail.com <mailto:jizhengp at gmail.com>

Advanced Image Research Laboratory (AIRL)

Samsung, Pasadena, CA, U.S.A

http://cnls.lanl.gov/External/people/Zhengping_Ji.php

/Zhengping Ji received his B.S. degree in Electrical Engineering from 
Sichuan University//, //China, in 2003 and the Ph.D. in Computer Science 
from Michigan State University, USA, in 2008. From 2009 to 2010, he held 
a postdoctoral fellow position at the Center for the Neural Basis of 
Cognition, //Carnegie////Mellon////University//, working on the DARPA 
RealNose Project. After that, he spent two years in Los Alamos National 
Laboratory, where he was a Research Associate conducting researches on 
computational modelling of the brain's visual pathways. He is now a 
Senior Research Scientist at Advanced Image Research Laboratory of 
Samsung Electronics. His current research interests lie in computer 
vision, computational neuroscience and machine learning. Specifically, 
he seeks to develop a series of deep learning models to generate 
cortex-like hierarchical sparse representation for a variety of tasks in 
vision, including generic object recognition, object detection and 
segmentation, image denoising and compression, and vision-based 
autonomous navigation. He is a Vice Chair of Task Force on Bio-Inspired 
Self-Organizing Collective Systems at IEEE Computational Intelligence 
Society, and a committee member of the Brain-Mind Institute, USA./

//

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From areynolds2 at vcu.edu  Sun Dec 29 19:01:50 2013
From: areynolds2 at vcu.edu (Angela Reynolds)
Date: Mon, 30 Dec 2013 07:01:50 +0700
Subject: Connectionists: ABSTRACT DEADLINE NOW 1/2/2013 (11:59 pm EST):
	Conference & Bard Ermentrout's 60th Birthday: Nonlinear
	Dynamics and Stochastic Methods
In-Reply-To: <CAEnUCfxaTGtriAWDctggTd_-exav5Ffiuaa8Pg1YNoxwPvfRHQ@mail.gmail.com>
References: <CAEnUCfxaTGtriAWDctggTd_-exav5Ffiuaa8Pg1YNoxwPvfRHQ@mail.gmail.com>
Message-ID: <15E22618-E38F-4DB1-8437-8B405D12BA19@vcu.edu>


> Nonlinear dynamics and stochastic methods: from neuroscience to other biological applications
> 
> 
> March 10-12, 2014
> 
> Pittsburgh, PA
> 
>  
> 
> This conference on nonlinear dynamics and stochastic methods will bring together a mix of senior and junior scientists to report on theoretical methods that proved successful in mathematical neuroscience, and to encourage their dissemination and application to modeling in computational medicine and other biological fields. This conference will coincide with a celebration of G. Bard Ermentrout's sixtieth birthday. The invited speakers will present on mathematical topics such as dynamical systems, multi-scale modeling, phase resetting curves, pattern formation and statistical methods. The mathematical tools will be demonstrated in the context of the following main topics: i) Rhythms in biological systems; ii) The geometry of systems with multiple time scales; iii) Pattern formation in biological systems; iv) Stochastic models: statistical methods and mean field approximations.
> 
> 
> The conference runs from March 10-12, 2014 at the University of Pittsburgh, Pittsburgh, PA. Travel support may become available for young investigators. Currently, this conference is partial funded by the Mathematical Biosciences Institute and the University of Pittsburgh. 
> 
> 
> 
> REGISTRATION, ABSTRACT SUBMISSION, AND SCHEDULE:
> 
> http://homepage.math.uiowa.edu/~rcurtu/conferencePitt2014.htm
>  
> 
> Important Dates: December 22, 2013: Deadline for travel award application and abstract submission.
> 
> 
> SPONSORS:
> 
> Department of Mathematics, University of Pittsburgh
> 
> Mathematical Biosciences Institute
> 
> National Science Foundation (pending)
> 
>  
> CONTACT:  rodica-curtu at uiowa.edu or areynolds2 at vcu.edu
> 
> 
> Confirmed Speakers:
> 
> Paul Bressloff (University of Utah)
> 
> Carson Chow (National Institutes of Health)
> 
> Sharon Crook (Arizona State University) 
> 
> Jack Cowan (University of Chicago)
> 
> Jonathan Drover (Cornell Medical College, NYC)
> 
> Leah Edelstein-Keshet (University of British Columbia, Vancouver - Canada)
> 
> Roberto Fernandez Galan (Case Western Reserve University)
> 
> Pranay Goel (Indian Institute of Science, Education and Research, Pune - India)
> 
> Boris Gutkin (Ecole Normale Superieure/ ENS, Paris - France)
> 
> Zachary Kilpatrick (University of Houston)
> 
> Nancy Kopell (Boston University)
> 
> Cheng Ly (Virginia Commonwealth University)
> 
> Remus Osan (Georgia State University)
> 
> George Oster (University of California, Berkeley)
> 
> John Rinzel (New York University)
> 
> Jonathan Rubin (University of Pittsburgh)
> 
> Daniel Simons (University of Pittsburgh)
> 
> David Terman (Ohio State University)
> If you have questions now please contact one of the organizers, Angela Reynolds, areynolds2 at vcu.edu, or Rodica Curtu, rodica-curtu at uiowa.edu.
> 
> 
> 
> 
> Virginia Commonwealth University
> Department of Mathematics and Applied Mathematics
> Assistant Professor
> areynolds2 at vcu.edu
> 804-828-5664
> Grace Harris Hall 4176
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From fwood at robots.ox.ac.uk  Mon Dec 30 16:44:18 2013
From: fwood at robots.ox.ac.uk (Frank Wood)
Date: Mon, 30 Dec 2013 16:44:18 -0500
Subject: Connectionists: Oxford : postdoc positions available :
	probabilistic programming
Message-ID: <CAPkXis_woB8EtAFnkiySVKV6S2-QVRYAAyu8w4jysdq1O+jAkg@mail.gmail.com>

 We are seeking two full-time probabilistic programming postdocs to join
Dr. Frank Wood?s research group at the Department of (Information)
Engineering Science at Oxford.  The posts are funded by DARPA under its
Probabilistic Programming for Advanced Machine Learning program (
http://tinyurl.com/fwoxpp) and are available immediately.



Oxford is part of a MIT/Oxford/Cambridge collaborative team. Dr. Wood (in
Engineering) and Dr. Nando de Freitas (in Computer Science) are tasked with
engaging in research on general-purpose inference and probabilistic
programming applications. Oxford participants are already closely
collaborating with both MIT (Dr. Vikash Mansingkha and Dr. Joshua
Tenenbaum) on the development of a practical, scalable probabilistic
programming environment and Cambridge (Dr. Zoubin Ghahramani) on models,
inference, and applications.  Candidates will be responsible for conducting
wide-ranging, largely self-determined research at the intersection of
probability, statistics, inference, modeling, compiler and language theory,
and applications.  Candidates will also be responsible for contributing to
the development of a practical, deployable, scalable probabilistic
programming system.  Candidates will be expected to travel between sites
and to collaborate widely.



Ideal candidates will possess a) a strong machine learning background (with
strengths in unsupervised generative modeling, general-purpose
sampling-based inference, and Bayesian nonparametrics), b) a strong
computer science background (with strengths in automata theory, compiler
and interpreter design, and practical functional coding ability) and c) a
strong inference and probability theory background.  Candidates with
excellent inference and languages theoretical backgrounds are particularly
encouraged to apply.



Candidates must possess a PhD in computer science, statistics, or another
closely related discipline.



Informal enquiries may be addressed to Frank Wood  (email:
fwood at robots.ox.ac.uk). Please include ?[PPAML PDRA]? in the subject line.



More information can be found under id 111173  on
http://www.eng.ox.ac.uk/about-us/jobs
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From juergen at idsia.ch  Tue Dec 31 10:52:22 2013
From: juergen at idsia.ch (Juergen Schmidhuber)
Date: Tue, 31 Dec 2013 16:52:22 +0100
Subject: Connectionists: Marie Curie Experienced Researcher Fellowship at
	the Swiss AI Lab IDSIA
Message-ID: <7D4AB21A-7447-4274-9025-FCF942792FA2@idsia.ch>

We offer a prestigious Marie Curie Experienced Researcher Fellowship [1]. The general goal is to advance the state of the art in Machine Learning / Perception / Computer Vision / Artificial Intelligence, in the context of ongoing research projects at the Swiss AI Lab IDSIA. Special restrictions apply [2].

Blurb: 

Join the Deep Learning team that won more international competitions in machine learning and pattern recognition than any other research group [3-8], also the first team to create superhuman visual classifiers [4], with the first Deep Learners  to win contests in object detection [5] and image segmentation [6]. We are at the Swiss AI Lab IDSIA [9], in the world's leading science nation [10], also the world's most competitive country for the 5th year in a row [11] - since 2009, when our neural networks (NN) became the first Deep Learners to win official international competitions [7]. We are interested in candidates applying for our prestigious Marie Curie Experienced Researcher Fellowship connected to the ProtoTouch project [2]. We offer a highly competitive Swiss salary. Please follow the instructions [1]. Next deadline 20 January 2014.

References:

[1] Application instructions under  http://www.idsia.ch/~juergen/pro2014.html

[2] ProtoTouch project funded by a Marie Curie Experienced Researcher Fellowship  http://cordis.europa.eu/projects/rcn/105932_en.html . Note the very special constraints: Experienced Researchers must, at the time of recruitment, be in possession of a doctoral degree or have at least 4 years of full-time equivalent research experience. Experienced researchers must ALSO have less than 5 years of full-time equivalent research experience. See guidelines http://www.idsia.ch/~juergen/mariecurieguide.pdf

[3] Deep Learning since 1991 - our deep NN have, so far, won 9 important contests in pattern recognition, image segmentation, object detection  - deeplearn it!  www.deeplearning.it

[4] 2011: First superhuman visual pattern recognition in an official international competition (with secret test set known only to the organisers) - twice better than humans, three times better than the closest artificial NN competitor, six times better than the best non-neural method  http://www.idsia.ch/~juergen/superhumanpatternrecognition.html

[5] 2012: First Deep Learner to win a contest on object detection in large images: our deep NN won both the ICPR 2012 Contest and the MICCAI 2013 Grand Challenge on Mitosis Detection (important for cancer prognosis etc, perhaps the most important application area of Deep Learning)  http://www.idsia.ch/~juergen/deeplearningwinsMICCAIgrandchallenge.html

[6] 2012: First Deep Learner to win a pure image segmentation competition: our deep NN won the ISBI'12 Brain Image Segmentation Challenge (relevant for the billion ? brain projects in EU and US)  http://www.idsia.ch/~juergen/deeplearningwinsbraincontest.html

[7] 2009: First Deep Learner to win international competitions in general: deep LSTM recurrent neural networks won 3 connected handwriting contests at ICDAR 2009, performing simultaneous segmentation and recognition  http://www.idsia.ch/~juergen/handwriting.html

[8] Overview: My first Deep Learner of 1991 + Deep Learning timeline 1962-2013 (also summarises the origins of backpropagation, still the central algorithm of Deep Learning)  www.deeplearning.me 

[9] The Swiss AI Lab IDSIA   http://www.idsia.ch/

[10] The world's leading science nation with the most Nobels/patents/citations/funding per capita  http://www.idsia.ch/~juergen/switzerland.html

[11] Global Competitiveness Reports 2009-2013  http://en.wikipedia.org/wiki/Global_Competitiveness_Report   
http://www.reuters.com/article/2013/09/03/us-economy-competitiveness-idUSBRE98215T20130903


J?rgen Schmidhuber
http://www.idsia.ch/~juergen/