From antonior at neuron.ffclrp.usp.br Thu Jun 2 10:32:45 2005
From: antonior at neuron.ffclrp.usp.br (Antonio Roque)
Date: Thu, 02 Jun 2005 11:32:45 -0300
Subject: Connectionists: 1st Latin American School on Computational
Neuroscience
In-Reply-To: <200502161030.39696.oreilly@psych.colorado.edu>
References: <200502161030.39696.oreilly@psych.colorado.edu>
Message-ID: <429F188D.5010406@neuron.ffclrp.usp.br>
--------------------------------------------------------------------------------------------------
Announcing
the I Latin American School on Computational Neuroscience
LASCON 2006
http://neuron.ffclrp.usp.br/lascon/home.htm
January 15-28 2006
University of Sao Paulo
Ribeirao Preto, SP Brazil
Faculty
David Beeman, University of Colorado, Boulder, CO, USA
James Bower, University of Texas, San Antonio, TX, USA
Kim Blackwell, George Mason University, Fairfax, VA, USA
Michael Hines, Yale University, New Haven, CT, USA
Michael Hasselmo, Boston University, Boston, MA, USA
Dieter Jaeger, Emory University, Atlanta, GA, USA
Roland Koberle, University of Sao Paulo, Sao Carlos, SP, Brazil
Marcelo Mazza, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Reynaldo Pinto, University of Sao Paulo, Sao Paulo, SP, Brazil
Arnd Roth, University College, London, UK
Michael Vanier, CALTECH, Pasadena, CA, USA
Charles Wilson, University of Texas, San Antonio, TX, USA
Organizer
Antonio Roque, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Co-organizer
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Scientific Committee
David Beeman, University of Colorado, Boulder, CO, USA
James Bower, University of Texas, San Antonio, TX, USA
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Deadline for student application: September 9, 2005 (Friday)
The I Latin American School on Computational Neuroscience (LASCON 2006)
aims at introducing advanced undergraduate and graduate students to the
use of methods for detailed modeling of neurons and neural circuits,
based on the Hodgkin-Huxley formalism, the cable equation and the
compartmental modeling technique. The use of these methods will be
illustrated with the development and investigation of numerical
simulations with the programs GENESIS and NEURON. The school is divided
in two weeks, the first one for theoretical lectures and hands on
tutorials, and the second one for invited lectures and the development
of project works by the students. Students will follow a highly
demanding schedule of morning lectures followed by afternoon and evening
computational laboratory sessions.
The School will be held at the campus of the University of S?o Paulo at
Ribeir?o Preto (a city about 313 km north of Sao Paulo). Course
applicants should be fluent in English (written/spoken) and have a solid
background in life and/or hard sciences (some experience in computer
programming is also desirable).
Applications are welcome and should be made by using the application
form on the school web page
(http://neuron.ffclrp.usp.br/lascon/home.htm). The number of students is
limited to 20 and priority will be given to students from Latin American
countries. Under exceptional circumstances, students from other areas of
the world could be accepted as well. Costs for accommodation and meals
will be covered by the school organization. In exceptional cases,
limited funding is available to partly cover travel expenses.
More information on the school can be found at
http://neuron.ffclrp.usp.br/lascon/home.htm
-------------------------------------------------------------------------------------------------
--
Dr. Ant?nio Carlos Roque
Associate Professor
Departamento de F?sica e Matem?tica
FFCLRP, Universidade de S?o Paulo
14040-901 Ribeir?o Preto-SP
Brazil
Tels: +55 16 602-3768 (office); +55 16 602-3859 (lab)
FAX: +55 16 633-9949
E-mail: antonior at neuron.ffclrp.usp.br
URL: http://neuron.ffclrp.usp.br
From brian.lindsley at oregonstate.edu Wed Jun 1 13:44:38 2005
From: brian.lindsley at oregonstate.edu (Lindsley, Brian)
Date: Wed, 1 Jun 2005 10:44:38 -0700
Subject: Connectionists: RESEARCH ASSOCIATE - OREGON STATE UNIVERSITY
Message-ID: <7FD26F7931D4E94CA14BBD2038DD6D2FBBCBB2@mtbaker.nws.oregonstate.edu>
POSITION ANNOUNCEMENT
Oregon State University
School of Electrical Engineering and Computer Science Research Associate
Position
The School of Electrical Engineering and Computer Science invites
applications for a full-time Research Associate (post-doctoral
researcher) with an anticipated start date of July 1, 2005. This
position will play a central role in the research and development of
several exciting, federally-funded research projects. The duties and
responsibilities of this position are the following: (a) Plan, carry
out, and publish research on machine learning and intelligent user
interfaces. (b) Implement prototype systems and perform experiments to
evaluate them. (c) Supervise graduate and undergraduate students in
their research. (d) Prepare and deliver talks and progress reports to
funding agencies and scientific meetings. (e) Write grant proposals and
attend funding agency meetings to obtain continuing funding for the
project. Salary is competitive, and benefits package includes several
options for health/dental/life insurance, retirement, as well as a
program of reduced tuition for employee or dependants (some restrictions
apply). This is a fixed-term, 12-month position, with reappointment at
the discretion of the hiring official, and contingent on the
availability of funding.
Qualifications
Required qualifications include:
PhD in computer science or a related field, strong mathematical
background, significant research experience, evidenced by at least two
research publications in machine learning, probabilistic reasoning,
knowledge representation and reasoning, search, intelligent use
interfaces, or intelligent personal assistants. Experience in at least
two of the following areas - knowledge representation frameworks
(logical and/or probabilistic), experience with reasoning methods
(logical and/or probabilistic), experience with experimental machine
learning research. Excellent written and spoken communication skills,
excellent programming and software engineering skills, excitement about
computer science research, and the ability to manage graduate and
undergraduate students working on research projects.
A demonstrable commitment to promoting and enhancing diversity is
preferred.
Research Group
Oregon State is a leader in machine learning and intelligent user
interfaces. The machine learning faculty include Tom Dietterich, Alan
Fern, Xiaoli Fern, Prasad Tadepalli, and Weng-Keen Wong. The
intelligent user interface faculty include Jon Herlocker, Margaret
Burnett, Martin Erwig, Mike Bailey, and Ron Metoyer. These two groups
have a combined staff of 3 postdocs and 2 software developers and
substantial funding from NSF and DARPA. Current projects include the
DARPA-funded CALO effort to build an integrated AI system for the
computer desktop, the NSF-funded TaskTracer project for supporting
multi-tasking knowledge workers, and the DARPA-funded Real World
Learning initiative in Knowledge-Intensive Learning. Future research
directions will likely focus on "transfer learning" across multiple
tasks, multiple people, and multiple organizations.
University and Community
OSU is one of only two American universities to hold the Land Grant, Sea
Grant, Sun Grant, and Space Grant designation and is a Carnegie
Doctoral/Research-Extensive university. OSU is located in Corvallis, a
community of 53,000 people situated in the Willamette Valley between
Portland and Eugene. Ocean beaches, lakes, rivers, forests, high
desert, the rugged Cascade and Coast Ranges, and the urban amenities of
the Portland metropolitan area are all within a 100-mile drive of
Corvallis. Approximately 15,700 undergraduate and 3,400 graduate
students are enrolled at OSU, including 2,600 U.S. students of color
and 950 international students.
The university has an institution-wide commitment to diversity,
multiculturalism, and community. We actively engage in recruiting and
retaining a diverse workforce and student body that includes members of
historically underrepresented groups. We strive to build and sustain a
welcoming and supportive campus environment. OSU provides outstanding
leadership opportunities for people interested in promoting and
enhancing diversity, nurturing creativity, and building community.
To Apply
For full consideration, please send the following materials by June 10,
2005 (hard copies only, no faxes or emails):
* letter of application, describing your research interests, and
qualifications for this position;
* copies of any relevant research publications (or pointers to such on
the web);
* a CV including the names, addresses, and telephone numbers of three
professional references, to:
Research Assistant Search
Committee/TD
School of Electrical Engineering
and Computer Science
Oregon State University
220 Owen Hall
Corvallis, OR 97331
Oregon State University is an Affirmative Action/Equal Opportunity
Employer
From myosioka at brain.riken.go.jp Thu Jun 2 09:55:17 2005
From: myosioka at brain.riken.go.jp (Masahiko Yoshioka)
Date: Thu, 02 Jun 2005 22:55:17 +0900 (JST)
Subject: Connectionists: Synchronization in gap-junction-coupled neurons
Message-ID: <20050602.225517.28796926.myosioka@brain.riken.go.jp>
Dear all,
We would like to announce another new paper on theoretical study of
spike synchronization in neural networks. In this paper we employ the
chaos synchronization theory to analyze stability of synchronization
in gap-junction-coupled neurons. We hope that the present study on gap
junctions and our previous study on chemical synapses
(http://arxiv.org/abs/nlin.PS/0504057) contribute together to a deeper
understanding of various synchronization phenomena in a large
population of neurons.
"Chaos synchronization in gap-junction-coupled neurons"
M. Yoshioka, Phys. Rev. E, in press.
http://arxiv.org/abs/nlin.CD/0505054
Depending on temperature the modified Hodgkin-Huxley (MHH) equations
exhibit a variety of dynamical behavior including intrinsic chaotic
firing. We analyze synchronization in a large ensemble of MHH neurons
that are interconnected with gap junctions. By evaluating tangential
Lyapunov exponents we clarify whether synchronous state of neurons is
chaotic or periodic. Then, we evaluate transversal Lyapunov exponents
to elucidate if this synchronous state is stable against infinitesimal
perturbations. Our analysis elucidates that with weak gap junctions,
stability of synchronization of MHH neurons shows rather complicated
change with temperature. We, however, find that with strong gap
junctions, synchronous state is stable over the wide range of
temperature irrespective of whether synchronous state is chaotic or
periodic. It turns out that strong gap junctions realize the robust
synchronization mechanism, which well explains synchronization in
interneurons in the real nervous system.
Best regards,
Masahiko Yoshioka
Brain Science Institute
The Institute of Physical and Chemical Research (RIKEN)
From oreilly at psych.colorado.edu Thu Jun 2 17:21:31 2005
From: oreilly at psych.colorado.edu (Randall C. O'Reilly)
Date: Thu, 2 Jun 2005 15:21:31 -0600
Subject: Connectionists: Call for Abstracts: CCN/NIMH Dynamical Neuroscience
Conference
Message-ID: <200506021521.31698.oreilly@psych.colorado.edu>
~ CALL-FOR-ABSTRACTS ~
1ST ANNUAL CONFERENCE ON COMPUTATIONAL COGNITIVE NEUROSCIENCE
and NIMH DYNAMICAL NEUROSCIENCE SATELLITE SYMPOSIUM of the
Annual Meeting of the Society for Neuroscience, Washington DC
Thu-Fri November 10 & 11, 2005
WWW.CCNCONFERENCE.ORG
______________________________________________________________________
Deadline for submissions: August 1, 2005
Meeting Registration and Abstract Submission are processed on-line at:
http://www.cmpinc.net/dynamical/
There are two categories of submissions:
* Poster only
* Short talk (15 min), with accompanying poster
Abstracts should be limited to 250 words. Women and underrepresented
minorities are especially encouraged to apply. Reviewing for posters will
be light and only to ensure appropriateness to the meeting. Talks will be
selected on the basis of research quality, relevance to conference theme,
and expected accessibility in a talk format.
Notification of acceptance will be made by September 1, 2005.
______________________________________________________________________
Conference information:
This is the inaugural meeting of what will be a rotating satellite
with other meetings, such as (tentative list): CNS (Cognitive
Neuroscience Society), HBM (Organization for Human Brain Mapping),
CogSci (Cognitive Science Society), Psychonomic Society, NIPS (Neural
Information Processing Systems Foundation), and COSYNE (Computational
and Systems Neuroscience)).
Featured Keynote Speakers:
James L. McClelland, Carnegie Mellon University
Title: Principles of Cognitive and Neural Processing
Daniel M. Wolpert, University College London/University of Cambridge
Title: Probabilistic Models of Sensorimotor Control
Discussion-Focused Symposia:
Decision Making
Chair: Michael Shadlen, University of Washington
Speakers: Carlos Brody, Cold Spring Harbor Laboratory
Yael Niv, Hebrew University (invited)
Leo Sugrue, Stanford University (invited)
Developmental Disorders
Chair: Michael Thomas, University of London
Speakers: Marc Joanisse, University of Western Ontario
Fred Dick, University of London
April Benasich, Rutgers University
Category Learning
Chair: Brad Love, University of Texas
Speakers: Greg Ashby, UC Santa Barbara
Paul Reber, Northwestern University
Episodic Memory: Interactions of the prefrontal cortex and hippocampal
formation involved in episodic and working memory
Chair: Michael Hasselmo, Boston University
Speakers: Kenneth Norman, Princeton University
Charan Ranganath, UC, Davis
Chantal Stern, Boston University
______________________________________________________________________
BACKGROUND:
The field of cognitive neuroscience has flourished due to advances
using multiple methodologies such as anatomy, physiology, imaging, and
behavior. Given the progress that has been made in each of these
areas, the time is ripe for strong theoretical frameworks that can
relate different levels of analysis, moving beyond basic
brain/behavior correlations. The emerging field of Computational
Cognitive Neuroscience (CCN) is ideally suited to help fill this need
through the use of mathematical analysis and explicit computational
models that bridge the gap between biological mechanisms and cognitive
function. This meeting focuses on research at the intersection of
neuroscience, cognitive psychology, and computational modeling, where
neuroscience-based computational models are used to simulate and
understand cognitive functions such as perception, attention, learning
and memory, language, and higher-level cognitive functions. CCN
research benefits greatly from collaboration with various non-modeling
researchers for developing and interpreting relevant empirical data. A
major goal for this conference is to create fruitful opportunities for
modelers and non-modelers to interact.
______________________________________________________________________
PLANNING COMMITTEE:
Todd Braver, Washington University, St Louis
Carlos Brody, Cold Spring Harbor
Jonathan Cohen, Princeton University
Dennis Glanzman, NIMH
Yuko Munakata, University of Colorado, Boulder
David Noelle, Vanderbilt University
Randall O'Reilly, University of Colorado, Boulder (Chair)
For more information and to sign up for the mailing list visit:
WWW.CCNCONFERENCE.ORG
______________________________________________________________________
From DGB at CDRH.FDA.GOV Fri Jun 3 10:43:32 2005
From: DGB at CDRH.FDA.GOV (Brown, David G.)
Date: Fri, 3 Jun 2005 10:43:32 -0400
Subject: Connectionists: Invitation to Participate--IJCNN 2005 Montreal
Message-ID: <60E5EBF1DFB4EC498E0ACAE75A49F8ED035DB852@drm558.cdrh.fda.gov>
Invitation to Participate -- IJCNN 2005 Montreal
The countdown to IJCNN 2005 has begun--plenary speakers have signed on,
paper acceptances have been mailed out, the program has been developed, and
registration is underway. The 2005 International Joint Conference on Neural
Networks is being held in Montreal Canada from July 31 to August 4.
Cosponsored by INNS and the IEEE Computational Intelligence Society and
supported by several universities and private companies, IJCNN'05 promises
to be a tremendously exciting meeting with a wide range of tutorials,
regular and special sessions, and post-conference workshops (on August 5).
Plenary speakers include Pierre Baldi, Mitsuo Kawato, Frank Lewis, Michael
Petrides, and Carver Mead.
Sixteen different tutorials are being offered on July 31 as the Conference
opens, and nearly six hundred papers will be presented, covering the full
breadth of artificial and natural neural intelligence topics. Register
on-line now to ensure your place in IJCNN 2005. Check in to the web site
http://www.ijcnn.org/ for further
details--including Conference and hotel registration and the Conference
program. Montreal is the place to be this July 31-August 5. See you there!
David
David G. Brown, Ph.D.
Director, Division of Imaging and Applied Mathematics
Center for Devices and Rad. Health (HFZ-140)
12720 Twinbrook Pkwy.
Rockville, MD 20852
301-443-3314 ext. 133
301-443-9101 fax
From sfr at unipg.it Thu Jun 2 05:30:35 2005
From: sfr at unipg.it (Simone G.O. FIORI)
Date: Thu, 02 Jun 2005 11:30:35 +0200
Subject: Connectionists: On differential-geometrical methods in neural
network learning
Message-ID: <1.5.4.32.20050602093035.01733d78@unipg.it>
Dear Colleagues,
the following 3 preprints, related to differential-
geometrical methods for neural network learning,
are available on the internet.
=========================================================
*Title:
Formulation and Integration of Learning Differential
Equations on the Stiefel Manifold
*Author:
Simone Fiori, University of Perugia (Italy)
*Journal:
IEEE Transactions on Neural Networks (IEEE-TNN)
*Abstract:
The present Letter aims at illustrating the relevance of
numerical integration of learning differential equations on
differential manifolds. In particular, the task of learning
with orthonormality constraints is dealt with, which is
naturally formulated as an optimization task with the compact
Stiefel manifold as neural parameter space. Intrinsic
properties of the derived learning algorithms, such as
stability and constraints preservation, are illustrated
through experiments on minor and independent component
analysis.
*Keywords:
Unsupervised neural network learning; Differential
Geometry; Riemannian manifold; Riemannian gradient;
Geodesics.
*Source:
http://www.unipg.it/sfr/publications/TNN05.pdf
=========================================================
*Title:
Quasi-Geodesic Neural Learning Algorithms over
the Orthogonal Group: A Tutorial
*Author:
Simone Fiori, University of Perugia (Italy)
*Journal: Journal of Machine Learning Research
(JMLR)
*Abstract:
The aim of this contribution is to present a tutorial
on learning algorithms for a single neural layer whose
connection matrix belongs to the orthogonal group. The
algorithms exploit geodesics appropriately connected
as piece-wise approximate integrals of the exact
differential learning equation. The considered learning
equations essentially arise from the Riemannian-gradient-
based optimization theory with deterministic and diffusion-
type gradient. The paper aims specifically at reviewing the
relevant mathematics (and at presenting it in as much
transparent way as possible in order to make it accessible
to Readers that do not possess a background in differential
geometry), at bringing together modern optimization methods
on manifolds and at comparing the different algorithms on a
common machine learning problem. As a numerical case-study,
we consider an application to non-negative independent
component analysis, although it should be recognized that
Riemannian gradient methods are general-purpose algorithms,
by no means limited to ICA-related applications.
*Keywords:
Differential geometry; Diffusion-type gradient; Lie groups;
Non-negative independent component analysis; Riemannian
gradient.
*Source:
http://www.jmlr.org/papers/volume6/fiori05a/fiori05a.pdf
========================================================
*Title:
Editorial: Special issue on ''Geometrical Methods in Neural
Networks and Learning''
*Authors:
Simone Fiori, University of Perugia (Italy)
Shun-ichi Amari, Brain Science Institute (RIKEN, Japan)
*Journal:
Neurocomputing
*Source:
http://www.unipg.it/sfr/publications/editorial_si_nng.pdf
=================================================
| Simone FIORI (Elec.Eng., Ph.D.) |
| * Faculty of Engineering - Perugia University * |
| * Polo Didattico e Scientifico del Ternano * |
| Loc. Pentima bassa, 21 - I-05100 TERNI (Italy) |
| eMail: fiori at unipg.it - Fax: +39 0744 492925 |
| Web: http://www.unipg.it/sfr/ |
=================================================
From ishikawa at brain.kyutech.ac.jp Fri Jun 3 02:42:46 2005
From: ishikawa at brain.kyutech.ac.jp (Masumi Ishikawa)
Date: Fri, 03 Jun 2005 15:42:46 +0900
Subject: Connectionists: Call for Papers(BrainIT2005)
Message-ID: <6.0.0.20.2.20050603153704.02893120@mail.brain.kyutech.ac.jp>
====================================================
We apologize if you receive multiple copies of this email.
Please distribute this announcement to all interested parties.
====================================================
BrainIT2005 CALL FOR PAPERS
The second international conference, BrainIT 2005, will be held in
Kitakyushu, Japan, on October 7-9, 2005, in order to establish the
foundations of the Brain-Inspired Information Technology. All working at
the frontiers of Brain Science to Information Technology including Robotics
are invited to participate in the second international conference, BrainIT
2005. At this conference, we will organize a special session on "Decision
and Behavioral Choice Organized by Natural and Artificial Brain" in
addition to invited papers from a wide range of fields from Brain Science
to Information Technology.
Invited Speakers
Edmund T. Rolls (Oxford University, UK)
Rolf Pfeifer (University of Zurich, Switzerland)
Mandyam V. Srinivasan (Australian National University, Australia)
Kenji Doya (Okinawa Institute of Science and Technology, Japan)
Joshua I. Gold (University of Pennsylvania, USA)
Walter J. Freeman (University of California, Berkeley, USA)
Andreas Konig (Technische Univ. Kaiserslautern, Germany)
Shu-Rong Wang (Institute of Biophysics, Chinese Academy of Sciences, China)
Samuel Kaski (Helsinki University of Technology, Finland)
Important Dates
Abstract (for presentation) Submission Deadline: July 25, 2005
Notification of Acceptance: August 31, 2005
Pre-registration Deadline: September 9, 2005
Paper (for Edited Book) Submission Deadline: October 31, 2005
Scope and Topics
BrainIT 2005 solicits experimental, computational, theoretical as well
as engineering papers relating the topics in the following non-exhaustive,
non-exclusive categories and keywords.
Categories and Keywords:
1. Vision system
2. Other sensory systems
3. Cognition
4. Emotion
5. Learning and Memory
6. Behavior
7. Motor controls
8. Languages
9. Dynamics
10. Neural computation
11. Neural networks
12. Brain-inspired intelligent machines
Papers that bridge brain science and information technology are
especially welcome. Regular papers may include speculative discussions on
Brain-Inspired Information Technology. BrainIT 2005 is open to all working
at the frontiers of Brain Science to Information Technology (modeling and
hardware realization) and provides the opportunity for presenting and
discussing ideas that pave the way for the new field, Brain-Inspired
Information Technology.
Instructions for Authors
Authors are requested to submit a 1-page A4-sized abstract by e-mail
attachment as a PDF file to brian-it at lsse.kyutech.ac.jp. Each abstract will
be independently reviewed by two reviewers. For further information, please
refer to the web site.
Registration
Registration is free of charge. However, we recommend your early
registration as the number of abstract books and other materials may be limited.
# Registration Site will open by July 2005.
Sponsors
* "World of brain computing interwoven out of animals and robots": The 21st
Century Center of Excellence Program of the Ministry of Education, Culture,
Sports, Science and Technology, Japan
* Kyushu Institute of Technology
* Kitakyushu Foundation for the Advancement of Industry, Science and
Technology (FAIS)
Secretariat:
Tetsuo FURUKAWA, PhD, Associate Professor
Phone: +81-93-695-6124, Fax: +81-93-695-6134
E-mail: brain-it at lsse.kyutech.ac.jp
For further information, please visit our web site:
http://conf.lsse.kyutech.ac.jp/~brain-it/
Masumi Ishikawa
Department of Brain Science and Engineering
Graduate School of Life Science and Systems Engineering
Kyushu Institute of Technology
2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196, Japan
Tel and Fax: +81-93-695-6106
Email: ishikawa at brain.kyutech.ac.jp
URL: http://www.brain.kyutech.ac.jp/~ishikawa
URL: http://www.lsse.kyutech.ac.jp/
From notify at teuscher.ch Mon Jun 6 12:06:54 2005
From: notify at teuscher.ch (Christof Teuscher)
Date: Mon, 6 Jun 2005 09:06:54 -0700
Subject: Connectionists: Bio-ADIT 2006 | Call for Papers
Message-ID: <7DE6C3AC-DB23-4312-89E8-D919DDDB6CF6@teuscher.ch>
****************************************************************
Bio-ADIT 2006 | Second Call for Papers
****************************************************************
The Second International Workshop on Biologically Inspired
Approaches to Advanced Information Technology
January 26 - 27, 2006
Senri Life Science Center, Osaka, Japan
Web site: http://www.ist.osaka-u.ac.jp/bio-adit2006
Sponsored by
- The 21st Century Center of Excellence Program of
The Ministry of Education, Culture, Sports, Science and
- Technology (MEXT), Japan, under the Program Title "Opening
Up New Information Technologies for Building a Networked
Symbiosis Environment"
Biologically inspired approaches have already proved successful in
achieving major breakthroughs in a wide variety of problems in
information technology (IT). A more recent trend is to explore the
applicability of bio-inspired approaches to the development of
self-organizing, evolving, adaptive and autonomous information
technologies, which will meet the requirements of next-generation
information systems, such as diversity, scalability, robustness,
and resilience. These new technologies will become a base on which
to build a networked symbiotic environment for pleasant, symbiotic
society of human beings in the 21st century.
Bio-ADIT 2006 follows the success of the first workshop Bio-ADIT 2004
held at the Swiss Federal Institute of Technology, Lausanne (EPFL),
Switzerland in January 2004. The workshop is intended to provide an
effective forum for original research results in the field of bio-
inspired approaches to advanced information technologies. It will
also serve to foster the connection between biological paradigms
and solutions to building the next-generation information systems.
SCOPE: The primary focus of the workshop is on new and original
research results in the areas of information systems inspired by
biology. We invite you to submit papers that present novel,
challenging, and innovative results. The topics include all aspects
of bio-inspired information technologies in networks,
distributed/parallel systems, hardware (including robotics) and
software. We also encourage you to submit papers dealing with:
- Self-organizing, self-repairing, self-replicating and
self-stabilizing systems
- Evolving and adapting systems
- Autonomous and evolutionary software and robotic systems
- Scalable, robust and resilient systems
- Complex biosystems
- Gene, protein and metabolic networks
- Symbiosis networks
- Synthetic biology for IT evolution
SUBMISSION OF PAPERS:
Authors are invited to submit complete and original papers. Papers
submitted should not have been previously published in any forum, nor
be under review for any journal or other conference. All submitted
papers will be refereed for quality, correctness, originality and
relevance. All accepted papers will be published in official
proceedings with an ISBN number by a major international publisher,
and be available at the conference.
Manuscripts should include an abstract and be limited to 16 pages in
single spaced and single column format. Submissions should include
the title, author(s), author's affiliation, e-mail address, fax number
and postal address. In the case of multiple authors, an indication of
which author is responsible for correspondence and preparing the
camera ready paper should also be included. Electronic submission is
strongly encouraged. Preferred file formats are PDF (.pdf) or
Postscript (.ps).
Visit our Web site at http://www.ist.osaka-u.ac.jp/bio-adit2006 for
more information. Please contact Dr. Masuzawa if you have to submit
hard copies. Manuscripts should be submitted by July 31, 2005 through
the Bio-ADIT Web site. Please contact the technical program co-chairs
for any questions:
Professor Auke Jan Ijspeert
School of Computer and Communication Sciences
Swiss Federal Institute of Technology, Lausanne (EPFL)
CH-1015 Lausanne, Switzerland
Tel: +41-21-693-2658
Fax: +41-21-693-3705
E-mail: Auke.Ijspeert at epfl.ch
Professor Toshimitsu Masuzawa
Graduate School of Information Science and Technology
Osaka University
1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
Tel: +81-6-6850-6580
Fax: +81-6-6850-6582
E-mail: masuzawa at ist.osaka-u.ac.jp
IMPORTANT DATES:
Paper submission deadline : July 31, 2005
Notification of acceptance : October 1, 2005
Camera ready papers due : October 20, 2005
STUDENT TRAVEL GRANTS:
A limited number of travel grants will be provided for students
attending Bio-ADIT 2006. Details of how to apply for a student
travel grant will be posted on the workshop Web site.
EXECUTIVE COMMITTEE:
General Co-Chairs:
- Daniel Mange (EPFL, Switzerland)
- Shojiro Nishio (Osaka University, Japan)
Technical Program Committee Co-Chairs:
- Auke Jan Ijspeert (EPFL, Switzerland)
- Toshimitsu Masuzawa (Osaka University, Japan)
Special Session Program Chair:
- Hiroshi Shimizu (Osaka University, Japan)
Finance Chair:
- Toru Fujiwara (Osaka University, Japan)
Publicity Co-chairs:
- Christof Teuscher (UCSD, USA)
- Yoshinori Takeuchi (Osaka University, Japan)
Internet Chair:
- Hideki Tode (Osaka University, Japan)
Publications Chair
- Shinji Kusumoto (Osaka University, Japan)
Local Arrangement Chair:
- Tatsuhiro Tsuchiya (Osaka University, Japan)
TECHNICAL PROGRAM COMMITTEE:
Co-Chairs:
- Auke Jan Ijspeert (EPFL, Switzerland)
- Toshimitsu Masuzawa (Osaka University, Japan)
Members (Tentative):
- Luc Berthouze (AIST, Japan)
- Marco Dorigo (Universite Libre de Bruxelles, Belgium)
- Raphael Holzer (EPFL, Switzerland)
- Koh Hosoda (Osaka University, Japan)
- Katsuo Inoue (Osaka University, Japan)
- Laurent Itti (University of Southern California, USA)
- Satoshi Kurihara (Osaka University, Japan)
- Anders Lansner (Royal Institute of Technology, Sweden)
- Vincent Lepetit (EPFL, Switzerland)
- James C. Liao (UCLA, USA)
- Wolfgang Maass (Graz University of Technology, Austria)
- Alberto Montresor (University of Bologna, Italy)
- Masayuki Murata (Osaka University, Japan)
- Mitsuyuki Nakao (Tohoku University, Japan)
- Chrystopher L. Nehaniv (University of Hertfordshire, UK)
- Masahiro Okamoto (Kyushu University, Japan)
- Takao Onoye (Osaka University, Japan)
- Ezequiel Di Paolo (University of Sussex, UK)
- Rolf Pfeifer (University of Zurich, Switzerland)
- Giovanna Di Marzo Serugendo (University of Geneva, Switzerland)
- Hiroshi Shimizu (Osaka University, Japan)
- Gregory Stephanopoulos (MIT, USA)
- Tim Taylor (University of Edinburgh, UK)
- Gianluca Tempesti (EPFL, Switzerland)
- Daniel Thalmann (EPFL, Switzerland)
- Tatsuhiro Tsuchiya (Osaka University, Japan)
- Sethu Vijayakumar (University of Edinburgh, UK)
- Koichi Wada (Nagoya Institute of Technology, Japan)
- Naoki Wakamiya (Osaka University, Japan)
- Hans V. Westerhoff (Vrije Universiteit Amsterdam, The Netherlands)
- Masafumi Yamashita (Kyushu University, Japan)
- Xin Yao (University of Birmingham, UK)
- Tom Ziemke (University of Skovde, Sweden)
Bio-ADIT STEERING COMMITTEE:
Chair:
- Hideo Miyahara (Osaka University, Japan)
Members:
- Albert-Laszlo Barabasi (University of Notre Dame, USA)
- Auke Jan Ijspeert (EPFL, Switzerland)
- Daniel Mange (EPFL, Switzerland)
- Masayuki Murata (Osaka University, Japan)
- Shojiro Nishio (Osaka University, Japan)
- Hiroshi Shimizu (Osaka University, Japan)
- Hans V. Westerhoff (Free University, The Netherlands)
--
Christof Teuscher, PhD
University of California, San Diego (UCSD)
http://www.teuscher.ch
From ckiw at inf.ed.ac.uk Tue Jun 7 05:54:00 2005
From: ckiw at inf.ed.ac.uk (Chris Williams)
Date: Tue, 7 Jun 2005 10:54:00 +0100 (BST)
Subject: Connectionists: UAI 2005: 26-29 July in Edinburgh, UK
Message-ID:
********************************************************************
THE TWENTY-FIRST INTERNATIONAL CONFERENCE ON
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (UAI-05)
CALL FOR PARTICIPATION
July 26-29, 2005
Edinburgh, Scotland
ACCOMODATION BOOKING DEADLINE 13TH JUNE
*********************************************************************
The Twenty First International Conference on Uncertainty in Artificial
Intelligence (UAI-05) will be held in Edinburgh, Scotland on July
26-29, 2005 at the University of Edinburgh. UAI is collocated with
IJCAI-05 which starts immediately after on July 29th.
More details about conference program, including information about the
invited talks, tutorials, and technical papers are available on the
conference website http://www.cs.toronto.edu/uai2005/.
==================
REGISTRATION INFO
==================
The registration fee is $400 ($300 for students). To register, follow
the instructions on the registration site:
http://pos.brightdoc.com/uai2005
===================
ACCOMMODATIONS INFO
===================
Edinburgh, Scotland's capital city, is one of the greenest and
architecturally most beautiful cities in Northern Europe. It is rich
in architecture, social, cultural, learning and sporting facilities.
Please note that the UAI conference is taking place just before the
festivals start in the peak tourist season. We *STRONGLY* advise
attendees to book flights and hotels as soon as
possible. Accommodation is booked via the Edinburgh Conference Bureau,
which can only guarantee accommodation bookings made before
13th June 2005.
Fahiem Bacchus, Max Chickering, Tommi Jaakkola, and Chris Williams
Conference Organizers
UAI 2005
From dayan at gatsby.ucl.ac.uk Wed Jun 8 08:36:01 2005
From: dayan at gatsby.ucl.ac.uk (Peter Dayan)
Date: Wed, 8 Jun 2005 13:36:01 +0100
Subject: Connectionists: Behavioral and Brain Functions
In-Reply-To: <20050608085329.GB16153@flies.gatsby.ucl.ac.uk>
References: <50907.193.217.174.139.1114196535.squirrel@webmail.uio.no>
<20050422195120.GA28336@flies.gatsby.ucl.ac.uk>
<20050607155808.GB5355@flies.gatsby.ucl.ac.uk>
<50732.193.217.174.139.1118220211.squirrel@webmail.uio.no>
<20050608085329.GB16153@flies.gatsby.ucl.ac.uk>
Message-ID: <20050608123601.GE16153@flies.gatsby.ucl.ac.uk>
Behavioral and Brain Functions is a new, open access journal from
biomedcentral, edited by Terje Sagvolden. I enclose his invitation to
submit articles -- the journal's website is:
http://www.behavioralandbrainfunctions.com/
--------------------------------------------------------
Dear Colleague,
Behavioural and Brain Functions has now been launched and I would like
to invite you to submit your next manuscript.
Behavioural and Brain Functions is an Open Access, peer-reviewed,
online journal. We publish original human and animal research, reviews
and data modeling. We consider manuscripts in all areas of
neurobiology and behavior, giving priority to research that combines
both domains. Information about the journal is available at
www.behavioralandbrainfunctions.com.
Behavioral and Brain Functions is an interdisciplinary journal that
will cover developments in human and animal behavioral science,
neuroscience, neuropsychology, cognitive psychology, neurobiology,
linguistics, computer science, and philosophy. The journal will
consider the following types of article: research, book reviews,
commentaries, debate articles, hypotheses, methodology articles,
reviews, short reports and study protocols.
The journal is freely available (at www.behavioralandbrainfunctions.com)
and a number of articles has already been published. Further
information about the journal and its publisher is available from the
website.
Yours sincerely,
Terje Sagvolden
Editor-in-Chief, Behavioural and Brain Functions
From brian.lindsley at oregonstate.edu Mon Jun 13 18:32:24 2005
From: brian.lindsley at oregonstate.edu (Lindsley, Brian)
Date: Mon, 13 Jun 2005 15:32:24 -0700
Subject: Connectionists: EECS RESEARCH ASSOCIATE - OREGON STATE UNIVERSITY -
deadline extended
Message-ID: <7FD26F7931D4E94CA14BBD2038DD6D2FC70767@mtbaker.nws.oregonstate.edu>
POSITION ANNOUNCEMENT
Oregon State University
School of Electrical Engineering and Computer Science Research Associate
Position
The School of Electrical Engineering and Computer Science invites
applications for a full-time Research Associate (post-doctoral
researcher) with an anticipated start date of July 1, 2005. This
position will play a central role in the research and development of
several exciting, federally-funded research projects. The duties and
responsibilities of this position are the following: (a) Plan, carry
out, and publish research on machine learning and intelligent user
interfaces. (b) Implement prototype systems and perform experiments to
evaluate them. (c) Supervise graduate and undergraduate students in
their research. (d) Prepare and deliver talks and progress reports to
funding agencies and scientific meetings. (e) Write grant proposals and
attend funding agency meetings to obtain continuing funding for the
project. Salary is competitive, and benefits package includes several
options for health/dental/life insurance, retirement, as well as a
program of reduced tuition for employee or dependants (some restrictions
apply). This is a fixed-term, 12-month position, with reappointment at
the discretion of the hiring official, and contingent on the
availability of funding.
Qualifications
Required qualifications include:
PhD in computer science or a related field, strong mathematical
background, significant research experience, evidenced by at least two
research publications in machine learning, probabilistic reasoning,
knowledge representation and reasoning, search, intelligent use
interfaces, or intelligent personal assistants. Experience in at least
two of the following areas - knowledge representation frameworks
(logical and/or probabilistic), experience with reasoning methods
(logical and/or probabilistic), experience with experimental machine
learning research. Excellent written and spoken communication skills,
excellent programming and software engineering skills, excitement about
computer science research, and the ability to manage graduate and
undergraduate students working on research projects.
A demonstrable commitment to promoting and enhancing diversity is
preferred.
Research Group
Oregon State is a leader in machine learning and intelligent user
interfaces. The machine learning faculty include Tom Dietterich, Alan
Fern, Xiaoli Fern, Prasad Tadepalli, and Weng-Keen Wong. The
intelligent user interface faculty include Jon Herlocker, Margaret
Burnett, Martin Erwig, Mike Bailey, and Ron Metoyer. These two groups
have a combined staff of 3 postdocs and 2 software developers and
substantial funding from NSF and DARPA. Current projects include the
DARPA-funded CALO effort to build an integrated AI system for the
computer desktop, the NSF-funded TaskTracer project for supporting
multi-tasking knowledge workers, and the DARPA-funded Real World
Learning initiative in Knowledge-Intensive Learning. Future research
directions will likely focus on "transfer learning" across multiple
tasks, multiple people, and multiple organizations.
University and Community
OSU is one of only two American universities to hold the Land Grant, Sea
Grant, Sun Grant, and Space Grant designation and is a Carnegie
Doctoral/Research-Extensive university. OSU is located in Corvallis, a
community of 53,000 people situated in the Willamette Valley between
Portland and Eugene. Ocean beaches, lakes, rivers, forests, high
desert, the rugged Cascade and Coast Ranges, and the urban amenities of
the Portland metropolitan area are all within a 100-mile drive of
Corvallis. Approximately 15,700 undergraduate and 3,400 graduate
students are enrolled at OSU, including 2,600 U.S. students of color
and 950 international students.
The university has an institution-wide commitment to diversity,
multiculturalism, and community. We actively engage in recruiting and
retaining a diverse workforce and student body that includes members of
historically underrepresented groups. We strive to build and sustain a
welcoming and supportive campus environment. OSU provides outstanding
leadership opportunities for people interested in promoting and
enhancing diversity, nurturing creativity, and building community.
To Apply
For full consideration, please send the following materials by June 30,
2005 (hard copies only, no faxes or emails):
* letter of application, describing your research interests, and
qualifications for this position;
* copies of any relevant research publications (or pointers to such on
the web);
* a CV including the names, addresses, and telephone numbers of three
professional references, to:
Research Assistant Search
Committee/TD
School of Electrical Engineering
and Computer Science
Oregon State University
220 Owen Hall
Corvallis, OR 97331
Oregon State University is an Affirmative Action/Equal Opportunity
Employer
From drh at ecs.soton.ac.uk Mon Jun 13 12:04:26 2005
From: drh at ecs.soton.ac.uk (David R. Hardoon)
Date: Mon, 13 Jun 2005 17:04:26 +0100
Subject: Connectionists: PASCAL Network Workshops
Message-ID: <770F908A-9393-45CA-B410-46A7AF7FC982@ecs.soton.ac.uk>
Apologies for multiple copies recieved.
We are pleased to announce two PASCAL workshops that will run back to
back at Cumberland Lodge, Windsor Great Park, UK:
July 4-5th: Statistics and Optimization of Clustering Workshop, see
http://www.ecs.soton.ac.uk/~drh/SOCW/ for description and programme
July 6-7th: Principled methods of trading exploration and
exploitation, see http://www.ecs.soton.ac.uk/~drh/PMTEEW/ for
description and programme
Note that registration should be made by 27th June, see http://
www.ecs.soton.ac.uk/~drh/PMTEEW/TradingRegForm.pdf
Hope to see you there!
David R. Hardoon on behalf of all the organisers.
----------------------------------------------------------------------
"Who dares... wins"
David R. Hardoon drh at ecs.soton.ac.uk
Image, Speech, and Intelligent Systems Research Group
School of Electronics & Computer Science
University of Southampton
Office: +44 23 8059 4882 Fax: +44 23 8059 4498
Mobile: +44 79 6763 4954 http://www.ecs.soton.ac.uk/~drh/
From meeden at cs.swarthmore.edu Mon Jun 13 12:51:18 2005
From: meeden at cs.swarthmore.edu (Lisa Meeden)
Date: Mon, 13 Jun 2005 12:51:18 -0400 (EDT)
Subject: Connectionists: CFP Special Issue of Connection Science on
Developmental Robotics
Message-ID:
Connection Science Journal
http://www.tandf.co.uk/journals/titles/09540091.asp
Call for Papers: Due September 15, 2005
A Special Issue on Developmental Robotics
Guest Editors
Douglas Blank
Lisa Meeden
Developmental robotics is a new approach that focuses on the
autonomous self-organization of general-purpose control systems. It
takes its inspiration from developmental psychology and developmental
neuroscience. Developmental robotics is a move away from task-specific
methodologies where a robot is designed to solve a particular
pre-defined task (such as path planning to a goal location). This new
approach explores the kinds of behaviors that a robot can discover
through self-motivated actions based on its own physical morphology
and the dynamic structure of its environment. Initially a
developmental system might bootstrap itself with some innate
knowledge, but with experience could create more complex
representations and behaviors. Developmental robotics is different
from many learning and evolutionary systems in that the reinforcement
signal, teacher target, or fitness function comes from within the
system. In this manner, these systems are designed to rely more on
mechanisms such as intrinsic motivation or homeostasis.
We invite contributions on architectures for developmental robotics,
examples of developmental behavior in robots, as well as features or
mechanisms of developmental processing including, but not limited to:
self-organization, self-exploration, self-motivation, categorization,
value systems, and anticipation-driven
learning.
For more information on developmental robotics see:
http://DevelopmentalRobotics.org
Submission Instructions and Deadlines
Papers should follow the Connection Science guidelines:
http://www.tandf.co.uk/journals/authors/ccosauth.asp
Papers should be emailed as a PDF attachment to dblank at cs.brynmawr.edu
and meeden at cs.swarthmore.edu, the guest editors.
September 15, 2005 Papers due
October 15, 2005 Reviews returned to authors
November 15, 2005 Final versions of papers due
The special issue will be published in the first quarter of 2006.
From p.berkes at biologie.hu-berlin.de Mon Jun 13 07:56:28 2005
From: p.berkes at biologie.hu-berlin.de (p.berkes@biologie.hu-berlin.de)
Date: Mon, 13 Jun 2005 13:56:28 +0200 (CEST)
Subject: Connectionists: ANN: MDP 1.1.0
Message-ID:
MDP 1.1.0
---------
http://mdp-toolkit.sourceforge.net/
Modular toolkit for Data Processing (MDP) is a Python library to
perform data processing. Already implemented algorithms include:
Principal Component Analysis (PCA), Independent Component Analysis
(ICA), Slow Feature Analysis (SFA), and Growing Neural Gas (GNG).
MDP allows to combine different algorithms and other data processing
elements (nodes) into data processing sequences (flows). Moreover, it
provides a framework that makes the implementation of new algorithms
easy and intuitive.
MDP supports the most common numerical extensions to Python, currently
Numeric, Numarray, SciPy. When used together with SciPy and the symeig
package, MDP gives to the scientific programmer the full power of
well-known C and FORTRAN data processing libraries. MDP helps the
programmer to exploit Python object oriented design with C and FORTRAN
efficiency.
MDP has been written for research in neuroscience, but it has been
designed to be helpful in any context where trainable data processing
algorithms are used. Its simplicity on the user side together with the
reusability of the implemented nodes could make it also a valid
educational tool.
Requirements:
* Python >= 2.3
* one of the following Python numerical extensions:
Numeric, Numarray, or SciPy.
For optimal performance we recommend to use SciPy with LAPACK
and ATLAS libraries, and to install the symeig module.
(sorry for multiple posting)
--
Pietro Berkes
Institute for Theoretical Biology
Humboldt-Universitaet zu Berlin
Invalidenstrasse, 43
D-10115 Berlin, Germany
http://itb.biologie.hu-berlin.de/~berkes
From jf218 at cam.ac.uk Tue Jun 14 16:31:14 2005
From: jf218 at cam.ac.uk (Dr J. Feng)
Date: 14 Jun 2005 21:31:14 +0100
Subject: Connectionists: 12 posts (from lecturer to professor at the Centre
for System Biology)
Message-ID:
Dear All,
We have 12 posts open at System Biology Centre,
Warwick University. Please see
http://www2.warwick.ac.uk/services/personnel/jobsintro/academic/
for details.
Computational Neuroscience is one of the two areas (the other
is Microbiology) the Centre will focus on.
with best regards
Jianfeng
Professor JF Feng
Centre for Scientific Computing
and Computer Science
Warwick University
UK
http://www.dcs.warwick.ac.uk/~feng
From michael at chaos.gwdg.de Wed Jun 15 19:07:53 2005
From: michael at chaos.gwdg.de (Michael Herrmann)
Date: Thu, 16 Jun 2005 01:07:53 +0200 (CEST)
Subject: Connectionists: Tutorial course on Computational Neuroscience
Message-ID:
Applications are invited for a tutorial course on
COMPUTATIONAL NEUROSCIENCE at Goettingen, Germany
September 20 - 24, 2005
organized by J. M. Herrmann, S. Treue and T. Geisel
The course is intended to provide graduate students and young researchers
from all parts of neuroscience with working knowledge of theoretical and
computational methods in neuroscience and to acquaint them with recent
developments in this field. The course includes tutorials and lectures on
the following topics:
Misha Tsodyks (Rehovot)
"Dynamic synaptic transmission in neocortical circuits"
Michael Rudolph (Gif-sur-Yvette)
"Neuronal dynamics in the active brain"
Richard Kempter (Berlin)
"Learning, memory, and plasticity in the hippocampus"
Florentin Woergoetter (Stirling)
"Learning and plasticity in behaving systems"
Stefan Treue (Goettingen)
"Mechanisms and models of visual attention"
The course takes place at the Department of Nonlinear Dynamics of the
Max-Planck Institute for Dynamics and Selforganization, Bunsenstr. 10,
D-37073 Goettingen. A course fee of 100 Euro includes participation in the
tutorials, study materials, and part of the social events. The number of
participants is limited to about 30. Course language is English.
To apply please fill in the application form at:
www.chaos.gwdg.de/~michael/CNS_course_2005/
by July 24, 2005.
For further information please contact: cns-course at chaos.gwdg.de
*********************************************************************
* Dr. J. Michael Herrmann Georg August University Goettingen *
* Tel. : +49 (0)551 5176424 Institute for Nonlinear Dynamics *
* Fax : +49 (0)551 5176439 Bunsenstr. 10, D-37073 Goettingen *
* EMail: michael at chaos.gwdg.de http://www.chaos.gwdg.de *
*********************************************************************
From hitzler at aifb.uni-karlsruhe.de Thu Jun 16 05:59:58 2005
From: hitzler at aifb.uni-karlsruhe.de (Pascal Hitzler)
Date: Thu, 16 Jun 2005 11:59:58 +0200
Subject: Connectionists: NeSy'05 at IJCAI-05: Call for Participation
Message-ID: <42B14D9E.4060908@aifb.uni-karlsruhe.de>
[Apologies for crosspostings]
Call for Participation
Workshop on Neural-Symbolic Learning and Reasoning (NeSy'05)
at IJCAI-05, Edinburgh, Scotland, July 31st, 2005
------------------------------------------------------------
Artificial Intelligence researchers continue to face huge challenges in
their quest to develop truly intelligent systems. The recent
developments in the field of neural-symbolic integration bring an
opportunity to integrate well-founded symbolic artificial intelligence
with robust neural computing machinery to help tackle some of these
challenges.
The Workshop on Neural-Symbolic Learning and Reasoning is intended to
create an atmosphere of exchange of ideas, providing a forum for the
presentation and discussion of the key topics related to neural-symbolic
integration. Topics of interest include:
* The representation of symbolic knowledge by connectionist systems;
* Integrated neural-symbolic learning approaches;
* Extraction of symbolic knowledge from trained neural networks;
* Integrated neural-symbolic reasoning;
* Biological inspiration for neural-symbolic integration;
* Applications in robotics, semantic web, engineering,
bioinformatics, etc.
Preliminary Programme
---------------------
9.15 Opening
9.30 - 10.30 Keynote: Ron Sun
coffee break
11.00 - 11.15 (position paper) Pascal Hitzler, Sebastian Bader, Artur
Garcez: Ontology Learning as a Use-Case for Neural-Symbolic Integration.
11.20 - 11.45 Ernesto Burattini, Edoardo Datteri, Guglielmo Tamburrini:
Neuro-symbolic programs for robots.
11.50 - 12.15 Laurent Orseau: The Principle of Presence: A Heuristic
for Growing Knowledge Structured Neural Networks.
lunch break
13.45 - 14.10 Yuuya Sugita, Jun Tani: Learning Segmentation of Behavior
to Situated Combinatorial Semantics.
14.15 - 14.40 Sebastian Bader, Pascal Hitzler, Andras Witzel:
Integrating First-Order Logic Programs and Connectionist Systems - A
Constructive Approach.
14.45 - 15.00 (position paper) Li Su, Howard Bowman, Brad Wyble:
Symbolic Encoding of Neural Networks using Communicating Automata with
Applications to Verification of Neural Network Based Controllers.
coffee break
15:30 - 15.45 (position paper) Henrik Jacobsson, Tom Ziemke: Rethinking
Rule Extraction from Recurrent Neural Networks.
15.50 - 16.15 Jens Lehmann, Sebastian Bader, Pascal Hitzler: Extracting
Reduced Logic Programs from Artificial Neural Networks.
16.20 - 17.20 Keynote: Steffen Hlldobler: Logic Programs and
Connectionist Systems.
17.30 Closing
Workshop Organisers
-------------------
Artur d'Avila Garcez (City University London, UK)
Jeff Elman (University of California, San Diego, USA)
Pascal Hitzler (AIFB, University of Karlsruhe, Germany)
Programme Committee
-------------------
Artur d'Avila Garcez (City University London, UK)
Howard Blair (Syracuse University, USA)
Jeff Elman (University of California San Diego, USA)
Dov Gabbay (Kings College London, UK)
Marco Gori (University of Siena, Italy)
Barbara Hammer (University of Osnabrck, Germany)
Pascal Hitzler (University Karlsruhe, Germany)
Steffen Hlldobler (TU Dresden, Germany)
Luis Lamb (Federal University of Rio Grande do Sul, Brazil)
John Lloyd (The Australian National University, Australia)
Asim Roy (Arizona State University, USA)
Antony K. Seda (University College Cork, Ireland)
Jude Shavlik (University of Wisconsin, USA)
Rudi Setiono (National University, Singapore)
Alessandro Sperduti (University of Padova, Italy)
Stefan Wermter (University of Sunderland, UK)
Gerson Zaverucha (UFRJ, Brazil)
Keynote speakers
----------------
Steffen Hlldobler (TU Dresden, Germany)
Ron Sun (Rensselaer Polytechnic Institute, USA)
Additional Information
----------------------
General questions concerning the workshop should be addressed to
nesy at soi.city.ac.uk
Workshop website: http://www.neural-symbolic.org/NeSy05/
--
Dr. Pascal Hitzler
Institute AIFB, University of Karlsruhe, 76128 Karlsruhe
email: hitzler at aifb.uni-karlsruhe.de fax: +49 721 608 6580
web: http://www.pascal-hitzler.de phone: +49 721 608 4751
http://www.neural-symbolic.org
From sml at essex.ac.uk Thu Jun 16 10:12:20 2005
From: sml at essex.ac.uk (Lucas, Simon M)
Date: Thu, 16 Jun 2005 15:12:20 +0100
Subject: Connectionists: Neural network format survey
Message-ID:
Dear All,
I'm conducting a survey to find out
more about the formats you use (if any)
to publish and exchange neural network
instances.
The purpose of this, amongst other things,
is to help to decide on a format for possible
forthcoming neural network (and perhaps
other learnable model) design competitions
(for example, a possible objective would be
to find the best pure neural network Go player).
I note that the predicitive model markup language
can describe neural networks:
http://www.dmg.org/v3-0/NeuralNetwork.html
though it's not clear to me whether this is widely
used in practice.
Please respond to me by email: sml at essex.ac.uk
If there are sufficient responses, I'll post
a summary to this list in a few weeks time.
Best regards,
Simon Lucas
--------------------------------------------------
Dr. Simon Lucas
Department of Computer Science
University of Essex
Colchester CO4 3SQ
United Kingdom
Email: sml at essex.ac.uk
http://cswww.essex.ac.uk/staff/lucas/lucas.htm
--------------------------------------------------
From t.heskes at science.ru.nl Tue Jun 21 04:47:08 2005
From: t.heskes at science.ru.nl (Tom Heskes)
Date: Tue, 21 Jun 2005 10:47:08 +0200
Subject: Connectionists: junior researcher
Message-ID: <42B7D40C.7070605@science.ru.nl>
[with apologies for cross-posting]
Marie Curie junior research fellow on Artificial Intelligence at the
Radboud University Nijmegen, The Netherlands
A junior research position is available at the Institute of Computing
and Information Sciences, Radboud University Nijmegen. The junior
researcher will work on the Marie Curie project "Artificial Intelligence
for Industrial Applications", a collaboration between the bearing
manufacturer SKF and ten different research groups throughout Europe.
The position is for three years and aims towards a PhD. The fellowship
is governed by the format of the Marie Curie Early Stage Training
programme, which excludes (in this case) Dutch candidates and prefers
residents of the European union and associated countries.
Candidates should have a degree in computer science, mathematics,
physics, mechanical engineering, artificial intelligence or a related
study and have to be fluent in English.
For more information, see http://www.cs.ru.nl/~tomh/ai4ia_vacancy.html
or contact Tom Heskes at tomh at cs.ru.nl.
From emipar at tsc.uc3m.es Wed Jun 22 11:09:29 2005
From: emipar at tsc.uc3m.es (Emilio Parrado-Hernandez)
Date: Wed, 22 Jun 2005 17:09:29 +0200
Subject: Connectionists: CFP: JMLR special topic on Machine Learning and
Large Scale Optimization
Message-ID: <42B97F29.5020806@tsc.uc3m.es>
--
====================================================
Emilio Parrado-Hernandez
Visiting Lecturer
Department of Signal Processing and Communications,
Universidad Carlos III de Madrid
Avenida de la Universidad 30, 28911 Leganes, Spain
Phone: +34 91 6248738
Fax: +34 91 6248749
====================================================
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From mvanross at inf.ed.ac.uk Fri Jun 24 06:36:26 2005
From: mvanross at inf.ed.ac.uk (Mark van Rossum)
Date: Fri, 24 Jun 2005 11:36:26 +0100
Subject: Connectionists: Postdoctoral fellowship in Computational
Neuroscience
Message-ID: <1119609386.5182.68.camel@localhost>
Postdoctoral Fellowship in Computational Neuroscience
We invite applications for a 5 years EPSRC funded postdoctoral
fellowship to work on theoretical and computational models of neural
information processing and plasticity in the neocortex.
Applicants should have a strong background in mathematics, physics,
computer science, or computational neuroscience and have a commitment
to a future research career in neuroscience. Prior biological or
neuroscience training is not required.
The fellowship allows for top class research in a stimulating
environment. The project involves a large number of labs in the UK
working together to understand cortical computation and its functional
circuitry. With regular meetings and collaborations, it brings together
cortical modellers and physiologists from the UK and abroad. The
Edinburgh component of this work will supervised by David Willshaw and
Mark van Rossum of the Institute for Adaptive and Neural Computation,
School of Informatics.
Edinburgh is one of the leading centres in the UK for Comp Neuroscience.
The institute hosts the EPSRC/MRC Doctoral Training Centre in
Neuroinformatics. It provides a large, active community in computational
neuroscience with strong links with the neuroscience research groups in
Edinburgh and the wider area. Edinburgh has been voted as 'best place to
live in Britain'.
The expected starting data is late summer. The maximal duration is five
years.
To apply please go to www.jobs.ed.ac.uk, vacancy ref. 3004670, and click
on further information for information where to send your application.
Inquiries can be addressed to Mark van Rossum, mvanross at inf.ed.ac.uk
Weblinks: www.anc.ed.ac.uk, www.anc.ed.ac.uk/neuroinformatics,
www.anc.ed.ac.uk/~david/, homepages.inf.ed.ac.uk/mvanross,
From wduch at phys.uni.torun.pl Mon Jun 27 14:58:42 2005
From: wduch at phys.uni.torun.pl (Wlodzislaw Duch)
Date: Mon, 27 Jun 2005 20:58:42 +0200
Subject: Connectionists: ICANN 2005 "Building A Brain" and other workshops
Message-ID: <20050627185841.19F0AA310B@nobel.phys.uni.torun.pl>
ICANN 2005 Workshops - calls for papers
Full-day workshop will be held at the Nicolaus Copernicus University in Torun on
Thursday, Sept. 15th, after the main ICANN'2005 conference.
http://www.ibspan.waw.pl/ICANN-2005/
Calls for papers for the Bioinformatics Workshop, Neuroinformatics Workshop and
the Biomimetic Workshop are at:
http://www.ibspan.waw.pl/ICANN-2005/workshops.html
An additional "Building A Brain" Workshop, organized by John G. Taylor (KCL
London) and Wlodek Duch (NCU Torun/NTU Singapore), has just been announced. In
recent years several projects aiming at a very large scale simulation of brain
functions, neocortex, or even the whole brain, have been formulated. They range
from detailed models of single cortical columns, through simulation of the whole
cortex, to models of the brain based on some specific ideas, such as the
Artificial Brain Architecture and Cognitive Control Understanding System
(ABACCUS) proposed recently. This workshop aims at discusions of the weak and
strong points of these various proposals.
Transportation by buses from Warsaw to Torun on Wednesday evening will be
arranged. For this extra day we plan to have separate volumes of the Springer
Studies in Computational Intelligence focused on a single topic; special issues
of journals may also be arranged by workshop organizers. The 25 Euro
registartion fee includes transportation, lunch and workshop publication costs.
We are looking forward to see you in Torun, a beautiful medieval town in central
Poland that is on the UNESCO World Cultural and Natural Heritage list, see:
http://www.torun.pl/portal/main/index_en.php
Wlodzislaw Duch, general co-chair of the ICANN'2005.
Google: Duch
From t.heskes at science.ru.nl Wed Jun 29 05:13:40 2005
From: t.heskes at science.ru.nl (Tom Heskes)
Date: Wed, 29 Jun 2005 11:13:40 +0200
Subject: Connectionists: two postdoc positions on BCI
Message-ID: <42C26644.8050508@science.ru.nl>
[with apologies for cross-posting]
Two postdoc positions on Brain Computer Interfacing at the Radboud
University Nijmegen, The Netherlands
Two postdoc positions are available at the Institute of Computing and
Information Sciences and F.C. Donders Centre for Cognitive Neuroimaging,
both at the Radboud University Nijmegen. The postdocs will work on the
STW project "Bayesian brain computer interfacing - interpretation of
patient intentions from single-trial EEG". Project leaders are Tom
Heskes and Ole Jensen.
The positions are for three years ("machine learning") and two years
("source modeling/adaptive filtering"), both with possible extension of
another year. The preferred starting date is September 1, 2005.
Candidates should have a PhD degree in computer science, mathematics,
physics, artificial intelligence, cognitive science or a related study,
with a strong background in signal processing/machine learning.
For more information, see http://www.cs.ru.nl/~tomh/bci_vacancies.html
or contact us at tomh at cs.ru.nl or ole.jensen at fcdonders.ru.nl.
From BGabrys at bournemouth.ac.uk Thu Jun 30 11:59:02 2005
From: BGabrys at bournemouth.ac.uk (Bogdan Gabrys)
Date: Thu, 30 Jun 2005 16:59:02 +0100
Subject: Connectionists: PhD Studentship: multiple classifier and prediction
systems
Message-ID: <5DA146E1E559B341A0C85AB49E01F22205F7D3DD@tamar.bournemouth.ac.uk>
EPSRC/BT funded Industrial CASE Studentship
Computational Intelligence Research Group (CIRG)
School of Design, Engineering and Computing,
Bournemouth University, United Kingdom
Applications are invited for a 3 year PhD research studentship to work on a project entitled "High Performance Fusion Systems" which is jointly funded by EPSRC and British Telecommunications plc (BT) under the EPSRC CASE scheme.
The proposed research project will investigate and develop various approaches for highly efficient multiple classifier (prediction) systems composed of actively generated, well performing and decorrelated classifiers (predictors). The emphasis will be put on the automatic avoidance of data overfitting accompanied by complexity and reliability control appropriate for potential industrial applications.
Combination, aggregation and fusion of information are major problems for all kinds of knowledge-based systems, from image processing to decision making, from pattern recognition to automatic learning. Various statistical, machine learning and hybrid intelligent techniques will be used for processing and modelling of imperfect data and information.
The student will be joining a Computational Intelligence Research Group and will be primarily based in the School of Design, Engineering & Computing in Bournemouth but will also spend up to 3 months in each year of the project duration at the BT research labs in Ipswich.
The studentship carries a remuneration of ?12000 pa tax-free and payment of tuition fees at home/EU rate. The successful applicant will need to have a permanent residency status in the UK.
Applicants should have a strong mathematical background and hold a first or upper second class honours degree or equivalent in computer science, mathematics, physics, engineering, statistics or a similar discipline. Additionally the candidate should have strong programming experience using any or combination of C, C++, Matlab or Java. Knowledge of ORACLE and/or Access will be an advantage.
For further details please contact Prof. Bogdan Gabrys, e-mail: bgabrys at bournemouth.ac.uk.
Interested candidates should send a letter of application and a detailed CV with the names and addresses of two referees to: Prof. Bogdan Gabrys, Computational Intelligence Research Group, School of DEC, Bournemouth University, Poole House, Talbot Campus, Poole, BH12 5BB, UK. The applications can be also sent by e-mail.
---------------------------------------------------------------------------------
Prof Bogdan Gabrys
Computational Intelligence Research Group
School of Design, Engineering & Computing
Bournemouth University, Poole House
Talbot Campus, Fern Barrow
Poole, BH12 5BB
United Kingdom
Tel: +44 (0)1202 595298
Fax: +44 (0) 1202 595314
E-mail: bgabrys at bournemouth.ac.uk
WWW: http://dec.bournemouth.ac.uk/staff/bgabrys/
---------------------------------------------------------------------------
From bower at uthscsa.edu Thu Jun 30 16:27:42 2005
From: bower at uthscsa.edu (Jim Bower)
Date: Thu, 30 Jun 2005 15:27:42 -0500
Subject: Connectionists: Postdoctoral Neuroengineering position on Cape Cod
Message-ID:
Postdoctoral position in neurobiology / engineering in Woods Hole
A 4-year DARPA research project, funded annually, to steer the
behavior of sharks in the natural environment through stimulation of
selected sensory brain areas. Expertise in brain stimulation,
multi-electrode recording and neural data analysis most desirable.
Interfacing with wireless data transmission and stereotactic
electrode positioning.
Send applications and inquiries to
Jelle Atema, PhD
Professor
Boston University Marine Program
Marine Biological Laboratory
Woods Hole, MA 02543
Boston University is an Equal Opportunity/Affirmative Action Employer
From schwenk at limsi.fr Thu Jun 30 08:03:40 2005
From: schwenk at limsi.fr (Holger Schwenk)
Date: Thu, 30 Jun 2005 14:03:40 +0200
Subject: Connectionists: Machine learning and speech recogniton,
PhD and postdoc at LIMSI, Paris
Message-ID: <42C3DF9C.4060403@limsi.fr>
New learning algorithms for large vocabulary Speech Recognition
PhD and postdoc positions at LIMSI-CNRS, Orsay, France
The speech processing group at LIMSI-CNRS in Orsay (near Paris) has a long
experience in conducting research in all aspects of speech processing. We have
developed large vocabulary speech recognizers for broadcast news and
conversation speech in several languages (English, French, German, Spanish,
Chinese, Arabic, ...). We are currently involved in several national and
international projects, in particular the integrated European projects TC-STAR
and CHIL.
Funding for a 3 year PhD and a 1 year position (renewable) is available.
Support for conference travel is provided. We are in particular interested in
candidates working on the application of new promising learning algorithms from
the general machine learning community to large vocabulary speech recognition.
When large amounts of acoustic training data are available (>500h), it seems
suboptimal to train the acoustic models directly on all the data. We want to
explore alternative ways to take better advantage of the available resources,
e.g. adaptive data selection, resampling techniques or mixture models. It is
also common to combine several speech recognizers using system combination
(rover and consensus network combination). These multiple systems are usually
build in an ad-hoc way and it would be better to train explicitly systems that
combine well. This could be done by boosting-like methods that construct
sequentially classifiers in function of the errors of the preceding ones.
Another topic of interest are continuous space language models. We want to
investigate different alternative probability estimators and techniques for
unsupervised language model adaptation. A large Linux cluster is available to
support compute extensive research.
The candidate for the PhD position should hold a master in Computer Science,
Electric Engineering or equivalent with experience in the following areas:
large vocabulary continuous speech recognition, machine learning, neural
networks and statistics. Good programming skills in C and working experience
on Linux machines is a necessary condition. The candidate for the postdoc
position is expected to have an established research record in the same areas.
The positions are available immediately.
Application should be sent to Holger Schwenk (schwenk at limsi.fr) or Jean-Luc
Gauvain (gauvain at limsi.fr) with a detailed CV, list of followed classes (for
the PhD position), list of publications (for the postdoc position), and letters
of recommendation or name of references.
From antonior at neuron.ffclrp.usp.br Thu Jun 2 10:32:45 2005
From: antonior at neuron.ffclrp.usp.br (Antonio Roque)
Date: Thu, 02 Jun 2005 11:32:45 -0300
Subject: Connectionists: 1st Latin American School on Computational
Neuroscience
In-Reply-To: <200502161030.39696.oreilly@psych.colorado.edu>
References: <200502161030.39696.oreilly@psych.colorado.edu>
Message-ID: <429F188D.5010406@neuron.ffclrp.usp.br>
--------------------------------------------------------------------------------------------------
Announcing
the I Latin American School on Computational Neuroscience
LASCON 2006
http://neuron.ffclrp.usp.br/lascon/home.htm
January 15-28 2006
University of Sao Paulo
Ribeirao Preto, SP Brazil
Faculty
David Beeman, University of Colorado, Boulder, CO, USA
James Bower, University of Texas, San Antonio, TX, USA
Kim Blackwell, George Mason University, Fairfax, VA, USA
Michael Hines, Yale University, New Haven, CT, USA
Michael Hasselmo, Boston University, Boston, MA, USA
Dieter Jaeger, Emory University, Atlanta, GA, USA
Roland Koberle, University of Sao Paulo, Sao Carlos, SP, Brazil
Marcelo Mazza, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Reynaldo Pinto, University of Sao Paulo, Sao Paulo, SP, Brazil
Arnd Roth, University College, London, UK
Michael Vanier, CALTECH, Pasadena, CA, USA
Charles Wilson, University of Texas, San Antonio, TX, USA
Organizer
Antonio Roque, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Co-organizer
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Scientific Committee
David Beeman, University of Colorado, Boulder, CO, USA
James Bower, University of Texas, San Antonio, TX, USA
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Rodrigo Oliveira, University of Sao Paulo, Ribeirao Preto, SP, Brazil
Deadline for student application: September 9, 2005 (Friday)
The I Latin American School on Computational Neuroscience (LASCON 2006)
aims at introducing advanced undergraduate and graduate students to the
use of methods for detailed modeling of neurons and neural circuits,
based on the Hodgkin-Huxley formalism, the cable equation and the
compartmental modeling technique. The use of these methods will be
illustrated with the development and investigation of numerical
simulations with the programs GENESIS and NEURON. The school is divided
in two weeks, the first one for theoretical lectures and hands on
tutorials, and the second one for invited lectures and the development
of project works by the students. Students will follow a highly
demanding schedule of morning lectures followed by afternoon and evening
computational laboratory sessions.
The School will be held at the campus of the University of S?o Paulo at
Ribeir?o Preto (a city about 313 km north of Sao Paulo). Course
applicants should be fluent in English (written/spoken) and have a solid
background in life and/or hard sciences (some experience in computer
programming is also desirable).
Applications are welcome and should be made by using the application
form on the school web page
(http://neuron.ffclrp.usp.br/lascon/home.htm). The number of students is
limited to 20 and priority will be given to students from Latin American
countries. Under exceptional circumstances, students from other areas of
the world could be accepted as well. Costs for accommodation and meals
will be covered by the school organization. In exceptional cases,
limited funding is available to partly cover travel expenses.
More information on the school can be found at
http://neuron.ffclrp.usp.br/lascon/home.htm
-------------------------------------------------------------------------------------------------
--
Dr. Ant?nio Carlos Roque
Associate Professor
Departamento de F?sica e Matem?tica
FFCLRP, Universidade de S?o Paulo
14040-901 Ribeir?o Preto-SP
Brazil
Tels: +55 16 602-3768 (office); +55 16 602-3859 (lab)
FAX: +55 16 633-9949
E-mail: antonior at neuron.ffclrp.usp.br
URL: http://neuron.ffclrp.usp.br
From brian.lindsley at oregonstate.edu Wed Jun 1 13:44:38 2005
From: brian.lindsley at oregonstate.edu (Lindsley, Brian)
Date: Wed, 1 Jun 2005 10:44:38 -0700
Subject: Connectionists: RESEARCH ASSOCIATE - OREGON STATE UNIVERSITY
Message-ID: <7FD26F7931D4E94CA14BBD2038DD6D2FBBCBB2@mtbaker.nws.oregonstate.edu>
POSITION ANNOUNCEMENT
Oregon State University
School of Electrical Engineering and Computer Science Research Associate
Position
The School of Electrical Engineering and Computer Science invites
applications for a full-time Research Associate (post-doctoral
researcher) with an anticipated start date of July 1, 2005. This
position will play a central role in the research and development of
several exciting, federally-funded research projects. The duties and
responsibilities of this position are the following: (a) Plan, carry
out, and publish research on machine learning and intelligent user
interfaces. (b) Implement prototype systems and perform experiments to
evaluate them. (c) Supervise graduate and undergraduate students in
their research. (d) Prepare and deliver talks and progress reports to
funding agencies and scientific meetings. (e) Write grant proposals and
attend funding agency meetings to obtain continuing funding for the
project. Salary is competitive, and benefits package includes several
options for health/dental/life insurance, retirement, as well as a
program of reduced tuition for employee or dependants (some restrictions
apply). This is a fixed-term, 12-month position, with reappointment at
the discretion of the hiring official, and contingent on the
availability of funding.
Qualifications
Required qualifications include:
PhD in computer science or a related field, strong mathematical
background, significant research experience, evidenced by at least two
research publications in machine learning, probabilistic reasoning,
knowledge representation and reasoning, search, intelligent use
interfaces, or intelligent personal assistants. Experience in at least
two of the following areas - knowledge representation frameworks
(logical and/or probabilistic), experience with reasoning methods
(logical and/or probabilistic), experience with experimental machine
learning research. Excellent written and spoken communication skills,
excellent programming and software engineering skills, excitement about
computer science research, and the ability to manage graduate and
undergraduate students working on research projects.
A demonstrable commitment to promoting and enhancing diversity is
preferred.
Research Group
Oregon State is a leader in machine learning and intelligent user
interfaces. The machine learning faculty include Tom Dietterich, Alan
Fern, Xiaoli Fern, Prasad Tadepalli, and Weng-Keen Wong. The
intelligent user interface faculty include Jon Herlocker, Margaret
Burnett, Martin Erwig, Mike Bailey, and Ron Metoyer. These two groups
have a combined staff of 3 postdocs and 2 software developers and
substantial funding from NSF and DARPA. Current projects include the
DARPA-funded CALO effort to build an integrated AI system for the
computer desktop, the NSF-funded TaskTracer project for supporting
multi-tasking knowledge workers, and the DARPA-funded Real World
Learning initiative in Knowledge-Intensive Learning. Future research
directions will likely focus on "transfer learning" across multiple
tasks, multiple people, and multiple organizations.
University and Community
OSU is one of only two American universities to hold the Land Grant, Sea
Grant, Sun Grant, and Space Grant designation and is a Carnegie
Doctoral/Research-Extensive university. OSU is located in Corvallis, a
community of 53,000 people situated in the Willamette Valley between
Portland and Eugene. Ocean beaches, lakes, rivers, forests, high
desert, the rugged Cascade and Coast Ranges, and the urban amenities of
the Portland metropolitan area are all within a 100-mile drive of
Corvallis. Approximately 15,700 undergraduate and 3,400 graduate
students are enrolled at OSU, including 2,600 U.S. students of color
and 950 international students.
The university has an institution-wide commitment to diversity,
multiculturalism, and community. We actively engage in recruiting and
retaining a diverse workforce and student body that includes members of
historically underrepresented groups. We strive to build and sustain a
welcoming and supportive campus environment. OSU provides outstanding
leadership opportunities for people interested in promoting and
enhancing diversity, nurturing creativity, and building community.
To Apply
For full consideration, please send the following materials by June 10,
2005 (hard copies only, no faxes or emails):
* letter of application, describing your research interests, and
qualifications for this position;
* copies of any relevant research publications (or pointers to such on
the web);
* a CV including the names, addresses, and telephone numbers of three
professional references, to:
Research Assistant Search
Committee/TD
School of Electrical Engineering
and Computer Science
Oregon State University
220 Owen Hall
Corvallis, OR 97331
Oregon State University is an Affirmative Action/Equal Opportunity
Employer
From myosioka at brain.riken.go.jp Thu Jun 2 09:55:17 2005
From: myosioka at brain.riken.go.jp (Masahiko Yoshioka)
Date: Thu, 02 Jun 2005 22:55:17 +0900 (JST)
Subject: Connectionists: Synchronization in gap-junction-coupled neurons
Message-ID: <20050602.225517.28796926.myosioka@brain.riken.go.jp>
Dear all,
We would like to announce another new paper on theoretical study of
spike synchronization in neural networks. In this paper we employ the
chaos synchronization theory to analyze stability of synchronization
in gap-junction-coupled neurons. We hope that the present study on gap
junctions and our previous study on chemical synapses
(http://arxiv.org/abs/nlin.PS/0504057) contribute together to a deeper
understanding of various synchronization phenomena in a large
population of neurons.
"Chaos synchronization in gap-junction-coupled neurons"
M. Yoshioka, Phys. Rev. E, in press.
http://arxiv.org/abs/nlin.CD/0505054
Depending on temperature the modified Hodgkin-Huxley (MHH) equations
exhibit a variety of dynamical behavior including intrinsic chaotic
firing. We analyze synchronization in a large ensemble of MHH neurons
that are interconnected with gap junctions. By evaluating tangential
Lyapunov exponents we clarify whether synchronous state of neurons is
chaotic or periodic. Then, we evaluate transversal Lyapunov exponents
to elucidate if this synchronous state is stable against infinitesimal
perturbations. Our analysis elucidates that with weak gap junctions,
stability of synchronization of MHH neurons shows rather complicated
change with temperature. We, however, find that with strong gap
junctions, synchronous state is stable over the wide range of
temperature irrespective of whether synchronous state is chaotic or
periodic. It turns out that strong gap junctions realize the robust
synchronization mechanism, which well explains synchronization in
interneurons in the real nervous system.
Best regards,
Masahiko Yoshioka
Brain Science Institute
The Institute of Physical and Chemical Research (RIKEN)
From oreilly at psych.colorado.edu Thu Jun 2 17:21:31 2005
From: oreilly at psych.colorado.edu (Randall C. O'Reilly)
Date: Thu, 2 Jun 2005 15:21:31 -0600
Subject: Connectionists: Call for Abstracts: CCN/NIMH Dynamical Neuroscience
Conference
Message-ID: <200506021521.31698.oreilly@psych.colorado.edu>
~ CALL-FOR-ABSTRACTS ~
1ST ANNUAL CONFERENCE ON COMPUTATIONAL COGNITIVE NEUROSCIENCE
and NIMH DYNAMICAL NEUROSCIENCE SATELLITE SYMPOSIUM of the
Annual Meeting of the Society for Neuroscience, Washington DC
Thu-Fri November 10 & 11, 2005
WWW.CCNCONFERENCE.ORG
______________________________________________________________________
Deadline for submissions: August 1, 2005
Meeting Registration and Abstract Submission are processed on-line at:
http://www.cmpinc.net/dynamical/
There are two categories of submissions:
* Poster only
* Short talk (15 min), with accompanying poster
Abstracts should be limited to 250 words. Women and underrepresented
minorities are especially encouraged to apply. Reviewing for posters will
be light and only to ensure appropriateness to the meeting. Talks will be
selected on the basis of research quality, relevance to conference theme,
and expected accessibility in a talk format.
Notification of acceptance will be made by September 1, 2005.
______________________________________________________________________
Conference information:
This is the inaugural meeting of what will be a rotating satellite
with other meetings, such as (tentative list): CNS (Cognitive
Neuroscience Society), HBM (Organization for Human Brain Mapping),
CogSci (Cognitive Science Society), Psychonomic Society, NIPS (Neural
Information Processing Systems Foundation), and COSYNE (Computational
and Systems Neuroscience)).
Featured Keynote Speakers:
James L. McClelland, Carnegie Mellon University
Title: Principles of Cognitive and Neural Processing
Daniel M. Wolpert, University College London/University of Cambridge
Title: Probabilistic Models of Sensorimotor Control
Discussion-Focused Symposia:
Decision Making
Chair: Michael Shadlen, University of Washington
Speakers: Carlos Brody, Cold Spring Harbor Laboratory
Yael Niv, Hebrew University (invited)
Leo Sugrue, Stanford University (invited)
Developmental Disorders
Chair: Michael Thomas, University of London
Speakers: Marc Joanisse, University of Western Ontario
Fred Dick, University of London
April Benasich, Rutgers University
Category Learning
Chair: Brad Love, University of Texas
Speakers: Greg Ashby, UC Santa Barbara
Paul Reber, Northwestern University
Episodic Memory: Interactions of the prefrontal cortex and hippocampal
formation involved in episodic and working memory
Chair: Michael Hasselmo, Boston University
Speakers: Kenneth Norman, Princeton University
Charan Ranganath, UC, Davis
Chantal Stern, Boston University
______________________________________________________________________
BACKGROUND:
The field of cognitive neuroscience has flourished due to advances
using multiple methodologies such as anatomy, physiology, imaging, and
behavior. Given the progress that has been made in each of these
areas, the time is ripe for strong theoretical frameworks that can
relate different levels of analysis, moving beyond basic
brain/behavior correlations. The emerging field of Computational
Cognitive Neuroscience (CCN) is ideally suited to help fill this need
through the use of mathematical analysis and explicit computational
models that bridge the gap between biological mechanisms and cognitive
function. This meeting focuses on research at the intersection of
neuroscience, cognitive psychology, and computational modeling, where
neuroscience-based computational models are used to simulate and
understand cognitive functions such as perception, attention, learning
and memory, language, and higher-level cognitive functions. CCN
research benefits greatly from collaboration with various non-modeling
researchers for developing and interpreting relevant empirical data. A
major goal for this conference is to create fruitful opportunities for
modelers and non-modelers to interact.
______________________________________________________________________
PLANNING COMMITTEE:
Todd Braver, Washington University, St Louis
Carlos Brody, Cold Spring Harbor
Jonathan Cohen, Princeton University
Dennis Glanzman, NIMH
Yuko Munakata, University of Colorado, Boulder
David Noelle, Vanderbilt University
Randall O'Reilly, University of Colorado, Boulder (Chair)
For more information and to sign up for the mailing list visit:
WWW.CCNCONFERENCE.ORG
______________________________________________________________________
From DGB at CDRH.FDA.GOV Fri Jun 3 10:43:32 2005
From: DGB at CDRH.FDA.GOV (Brown, David G.)
Date: Fri, 3 Jun 2005 10:43:32 -0400
Subject: Connectionists: Invitation to Participate--IJCNN 2005 Montreal
Message-ID: <60E5EBF1DFB4EC498E0ACAE75A49F8ED035DB852@drm558.cdrh.fda.gov>
Invitation to Participate -- IJCNN 2005 Montreal
The countdown to IJCNN 2005 has begun--plenary speakers have signed on,
paper acceptances have been mailed out, the program has been developed, and
registration is underway. The 2005 International Joint Conference on Neural
Networks is being held in Montreal Canada from July 31 to August 4.
Cosponsored by INNS and the IEEE Computational Intelligence Society and
supported by several universities and private companies, IJCNN'05 promises
to be a tremendously exciting meeting with a wide range of tutorials,
regular and special sessions, and post-conference workshops (on August 5).
Plenary speakers include Pierre Baldi, Mitsuo Kawato, Frank Lewis, Michael
Petrides, and Carver Mead.
Sixteen different tutorials are being offered on July 31 as the Conference
opens, and nearly six hundred papers will be presented, covering the full
breadth of artificial and natural neural intelligence topics. Register
on-line now to ensure your place in IJCNN 2005. Check in to the web site
http://www.ijcnn.org/ for further
details--including Conference and hotel registration and the Conference
program. Montreal is the place to be this July 31-August 5. See you there!
David
David G. Brown, Ph.D.
Director, Division of Imaging and Applied Mathematics
Center for Devices and Rad. Health (HFZ-140)
12720 Twinbrook Pkwy.
Rockville, MD 20852
301-443-3314 ext. 133
301-443-9101 fax
From sfr at unipg.it Thu Jun 2 05:30:35 2005
From: sfr at unipg.it (Simone G.O. FIORI)
Date: Thu, 02 Jun 2005 11:30:35 +0200
Subject: Connectionists: On differential-geometrical methods in neural
network learning
Message-ID: <1.5.4.32.20050602093035.01733d78@unipg.it>
Dear Colleagues,
the following 3 preprints, related to differential-
geometrical methods for neural network learning,
are available on the internet.
=========================================================
*Title:
Formulation and Integration of Learning Differential
Equations on the Stiefel Manifold
*Author:
Simone Fiori, University of Perugia (Italy)
*Journal:
IEEE Transactions on Neural Networks (IEEE-TNN)
*Abstract:
The present Letter aims at illustrating the relevance of
numerical integration of learning differential equations on
differential manifolds. In particular, the task of learning
with orthonormality constraints is dealt with, which is
naturally formulated as an optimization task with the compact
Stiefel manifold as neural parameter space. Intrinsic
properties of the derived learning algorithms, such as
stability and constraints preservation, are illustrated
through experiments on minor and independent component
analysis.
*Keywords:
Unsupervised neural network learning; Differential
Geometry; Riemannian manifold; Riemannian gradient;
Geodesics.
*Source:
http://www.unipg.it/sfr/publications/TNN05.pdf
=========================================================
*Title:
Quasi-Geodesic Neural Learning Algorithms over
the Orthogonal Group: A Tutorial
*Author:
Simone Fiori, University of Perugia (Italy)
*Journal: Journal of Machine Learning Research
(JMLR)
*Abstract:
The aim of this contribution is to present a tutorial
on learning algorithms for a single neural layer whose
connection matrix belongs to the orthogonal group. The
algorithms exploit geodesics appropriately connected
as piece-wise approximate integrals of the exact
differential learning equation. The considered learning
equations essentially arise from the Riemannian-gradient-
based optimization theory with deterministic and diffusion-
type gradient. The paper aims specifically at reviewing the
relevant mathematics (and at presenting it in as much
transparent way as possible in order to make it accessible
to Readers that do not possess a background in differential
geometry), at bringing together modern optimization methods
on manifolds and at comparing the different algorithms on a
common machine learning problem. As a numerical case-study,
we consider an application to non-negative independent
component analysis, although it should be recognized that
Riemannian gradient methods are general-purpose algorithms,
by no means limited to ICA-related applications.
*Keywords:
Differential geometry; Diffusion-type gradient; Lie groups;
Non-negative independent component analysis; Riemannian
gradient.
*Source:
http://www.jmlr.org/papers/volume6/fiori05a/fiori05a.pdf
========================================================
*Title:
Editorial: Special issue on ''Geometrical Methods in Neural
Networks and Learning''
*Authors:
Simone Fiori, University of Perugia (Italy)
Shun-ichi Amari, Brain Science Institute (RIKEN, Japan)
*Journal:
Neurocomputing
*Source:
http://www.unipg.it/sfr/publications/editorial_si_nng.pdf
=================================================
| Simone FIORI (Elec.Eng., Ph.D.) |
| * Faculty of Engineering - Perugia University * |
| * Polo Didattico e Scientifico del Ternano * |
| Loc. Pentima bassa, 21 - I-05100 TERNI (Italy) |
| eMail: fiori at unipg.it - Fax: +39 0744 492925 |
| Web: http://www.unipg.it/sfr/ |
=================================================
From ishikawa at brain.kyutech.ac.jp Fri Jun 3 02:42:46 2005
From: ishikawa at brain.kyutech.ac.jp (Masumi Ishikawa)
Date: Fri, 03 Jun 2005 15:42:46 +0900
Subject: Connectionists: Call for Papers(BrainIT2005)
Message-ID: <6.0.0.20.2.20050603153704.02893120@mail.brain.kyutech.ac.jp>
====================================================
We apologize if you receive multiple copies of this email.
Please distribute this announcement to all interested parties.
====================================================
BrainIT2005 CALL FOR PAPERS
The second international conference, BrainIT 2005, will be held in
Kitakyushu, Japan, on October 7-9, 2005, in order to establish the
foundations of the Brain-Inspired Information Technology. All working at
the frontiers of Brain Science to Information Technology including Robotics
are invited to participate in the second international conference, BrainIT
2005. At this conference, we will organize a special session on "Decision
and Behavioral Choice Organized by Natural and Artificial Brain" in
addition to invited papers from a wide range of fields from Brain Science
to Information Technology.
Invited Speakers
Edmund T. Rolls (Oxford University, UK)
Rolf Pfeifer (University of Zurich, Switzerland)
Mandyam V. Srinivasan (Australian National University, Australia)
Kenji Doya (Okinawa Institute of Science and Technology, Japan)
Joshua I. Gold (University of Pennsylvania, USA)
Walter J. Freeman (University of California, Berkeley, USA)
Andreas Konig (Technische Univ. Kaiserslautern, Germany)
Shu-Rong Wang (Institute of Biophysics, Chinese Academy of Sciences, China)
Samuel Kaski (Helsinki University of Technology, Finland)
Important Dates
Abstract (for presentation) Submission Deadline: July 25, 2005
Notification of Acceptance: August 31, 2005
Pre-registration Deadline: September 9, 2005
Paper (for Edited Book) Submission Deadline: October 31, 2005
Scope and Topics
BrainIT 2005 solicits experimental, computational, theoretical as well
as engineering papers relating the topics in the following non-exhaustive,
non-exclusive categories and keywords.
Categories and Keywords:
1. Vision system
2. Other sensory systems
3. Cognition
4. Emotion
5. Learning and Memory
6. Behavior
7. Motor controls
8. Languages
9. Dynamics
10. Neural computation
11. Neural networks
12. Brain-inspired intelligent machines
Papers that bridge brain science and information technology are
especially welcome. Regular papers may include speculative discussions on
Brain-Inspired Information Technology. BrainIT 2005 is open to all working
at the frontiers of Brain Science to Information Technology (modeling and
hardware realization) and provides the opportunity for presenting and
discussing ideas that pave the way for the new field, Brain-Inspired
Information Technology.
Instructions for Authors
Authors are requested to submit a 1-page A4-sized abstract by e-mail
attachment as a PDF file to brian-it at lsse.kyutech.ac.jp. Each abstract will
be independently reviewed by two reviewers. For further information, please
refer to the web site.
Registration
Registration is free of charge. However, we recommend your early
registration as the number of abstract books and other materials may be limited.
# Registration Site will open by July 2005.
Sponsors
* "World of brain computing interwoven out of animals and robots": The 21st
Century Center of Excellence Program of the Ministry of Education, Culture,
Sports, Science and Technology, Japan
* Kyushu Institute of Technology
* Kitakyushu Foundation for the Advancement of Industry, Science and
Technology (FAIS)
Secretariat:
Tetsuo FURUKAWA, PhD, Associate Professor
Phone: +81-93-695-6124, Fax: +81-93-695-6134
E-mail: brain-it at lsse.kyutech.ac.jp
For further information, please visit our web site:
http://conf.lsse.kyutech.ac.jp/~brain-it/
Masumi Ishikawa
Department of Brain Science and Engineering
Graduate School of Life Science and Systems Engineering
Kyushu Institute of Technology
2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196, Japan
Tel and Fax: +81-93-695-6106
Email: ishikawa at brain.kyutech.ac.jp
URL: http://www.brain.kyutech.ac.jp/~ishikawa
URL: http://www.lsse.kyutech.ac.jp/
From notify at teuscher.ch Mon Jun 6 12:06:54 2005
From: notify at teuscher.ch (Christof Teuscher)
Date: Mon, 6 Jun 2005 09:06:54 -0700
Subject: Connectionists: Bio-ADIT 2006 | Call for Papers
Message-ID: <7DE6C3AC-DB23-4312-89E8-D919DDDB6CF6@teuscher.ch>
****************************************************************
Bio-ADIT 2006 | Second Call for Papers
****************************************************************
The Second International Workshop on Biologically Inspired
Approaches to Advanced Information Technology
January 26 - 27, 2006
Senri Life Science Center, Osaka, Japan
Web site: http://www.ist.osaka-u.ac.jp/bio-adit2006
Sponsored by
- The 21st Century Center of Excellence Program of
The Ministry of Education, Culture, Sports, Science and
- Technology (MEXT), Japan, under the Program Title "Opening
Up New Information Technologies for Building a Networked
Symbiosis Environment"
Biologically inspired approaches have already proved successful in
achieving major breakthroughs in a wide variety of problems in
information technology (IT). A more recent trend is to explore the
applicability of bio-inspired approaches to the development of
self-organizing, evolving, adaptive and autonomous information
technologies, which will meet the requirements of next-generation
information systems, such as diversity, scalability, robustness,
and resilience. These new technologies will become a base on which
to build a networked symbiotic environment for pleasant, symbiotic
society of human beings in the 21st century.
Bio-ADIT 2006 follows the success of the first workshop Bio-ADIT 2004
held at the Swiss Federal Institute of Technology, Lausanne (EPFL),
Switzerland in January 2004. The workshop is intended to provide an
effective forum for original research results in the field of bio-
inspired approaches to advanced information technologies. It will
also serve to foster the connection between biological paradigms
and solutions to building the next-generation information systems.
SCOPE: The primary focus of the workshop is on new and original
research results in the areas of information systems inspired by
biology. We invite you to submit papers that present novel,
challenging, and innovative results. The topics include all aspects
of bio-inspired information technologies in networks,
distributed/parallel systems, hardware (including robotics) and
software. We also encourage you to submit papers dealing with:
- Self-organizing, self-repairing, self-replicating and
self-stabilizing systems
- Evolving and adapting systems
- Autonomous and evolutionary software and robotic systems
- Scalable, robust and resilient systems
- Complex biosystems
- Gene, protein and metabolic networks
- Symbiosis networks
- Synthetic biology for IT evolution
SUBMISSION OF PAPERS:
Authors are invited to submit complete and original papers. Papers
submitted should not have been previously published in any forum, nor
be under review for any journal or other conference. All submitted
papers will be refereed for quality, correctness, originality and
relevance. All accepted papers will be published in official
proceedings with an ISBN number by a major international publisher,
and be available at the conference.
Manuscripts should include an abstract and be limited to 16 pages in
single spaced and single column format. Submissions should include
the title, author(s), author's affiliation, e-mail address, fax number
and postal address. In the case of multiple authors, an indication of
which author is responsible for correspondence and preparing the
camera ready paper should also be included. Electronic submission is
strongly encouraged. Preferred file formats are PDF (.pdf) or
Postscript (.ps).
Visit our Web site at http://www.ist.osaka-u.ac.jp/bio-adit2006 for
more information. Please contact Dr. Masuzawa if you have to submit
hard copies. Manuscripts should be submitted by July 31, 2005 through
the Bio-ADIT Web site. Please contact the technical program co-chairs
for any questions:
Professor Auke Jan Ijspeert
School of Computer and Communication Sciences
Swiss Federal Institute of Technology, Lausanne (EPFL)
CH-1015 Lausanne, Switzerland
Tel: +41-21-693-2658
Fax: +41-21-693-3705
E-mail: Auke.Ijspeert at epfl.ch
Professor Toshimitsu Masuzawa
Graduate School of Information Science and Technology
Osaka University
1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
Tel: +81-6-6850-6580
Fax: +81-6-6850-6582
E-mail: masuzawa at ist.osaka-u.ac.jp
IMPORTANT DATES:
Paper submission deadline : July 31, 2005
Notification of acceptance : October 1, 2005
Camera ready papers due : October 20, 2005
STUDENT TRAVEL GRANTS:
A limited number of travel grants will be provided for students
attending Bio-ADIT 2006. Details of how to apply for a student
travel grant will be posted on the workshop Web site.
EXECUTIVE COMMITTEE:
General Co-Chairs:
- Daniel Mange (EPFL, Switzerland)
- Shojiro Nishio (Osaka University, Japan)
Technical Program Committee Co-Chairs:
- Auke Jan Ijspeert (EPFL, Switzerland)
- Toshimitsu Masuzawa (Osaka University, Japan)
Special Session Program Chair:
- Hiroshi Shimizu (Osaka University, Japan)
Finance Chair:
- Toru Fujiwara (Osaka University, Japan)
Publicity Co-chairs:
- Christof Teuscher (UCSD, USA)
- Yoshinori Takeuchi (Osaka University, Japan)
Internet Chair:
- Hideki Tode (Osaka University, Japan)
Publications Chair
- Shinji Kusumoto (Osaka University, Japan)
Local Arrangement Chair:
- Tatsuhiro Tsuchiya (Osaka University, Japan)
TECHNICAL PROGRAM COMMITTEE:
Co-Chairs:
- Auke Jan Ijspeert (EPFL, Switzerland)
- Toshimitsu Masuzawa (Osaka University, Japan)
Members (Tentative):
- Luc Berthouze (AIST, Japan)
- Marco Dorigo (Universite Libre de Bruxelles, Belgium)
- Raphael Holzer (EPFL, Switzerland)
- Koh Hosoda (Osaka University, Japan)
- Katsuo Inoue (Osaka University, Japan)
- Laurent Itti (University of Southern California, USA)
- Satoshi Kurihara (Osaka University, Japan)
- Anders Lansner (Royal Institute of Technology, Sweden)
- Vincent Lepetit (EPFL, Switzerland)
- James C. Liao (UCLA, USA)
- Wolfgang Maass (Graz University of Technology, Austria)
- Alberto Montresor (University of Bologna, Italy)
- Masayuki Murata (Osaka University, Japan)
- Mitsuyuki Nakao (Tohoku University, Japan)
- Chrystopher L. Nehaniv (University of Hertfordshire, UK)
- Masahiro Okamoto (Kyushu University, Japan)
- Takao Onoye (Osaka University, Japan)
- Ezequiel Di Paolo (University of Sussex, UK)
- Rolf Pfeifer (University of Zurich, Switzerland)
- Giovanna Di Marzo Serugendo (University of Geneva, Switzerland)
- Hiroshi Shimizu (Osaka University, Japan)
- Gregory Stephanopoulos (MIT, USA)
- Tim Taylor (University of Edinburgh, UK)
- Gianluca Tempesti (EPFL, Switzerland)
- Daniel Thalmann (EPFL, Switzerland)
- Tatsuhiro Tsuchiya (Osaka University, Japan)
- Sethu Vijayakumar (University of Edinburgh, UK)
- Koichi Wada (Nagoya Institute of Technology, Japan)
- Naoki Wakamiya (Osaka University, Japan)
- Hans V. Westerhoff (Vrije Universiteit Amsterdam, The Netherlands)
- Masafumi Yamashita (Kyushu University, Japan)
- Xin Yao (University of Birmingham, UK)
- Tom Ziemke (University of Skovde, Sweden)
Bio-ADIT STEERING COMMITTEE:
Chair:
- Hideo Miyahara (Osaka University, Japan)
Members:
- Albert-Laszlo Barabasi (University of Notre Dame, USA)
- Auke Jan Ijspeert (EPFL, Switzerland)
- Daniel Mange (EPFL, Switzerland)
- Masayuki Murata (Osaka University, Japan)
- Shojiro Nishio (Osaka University, Japan)
- Hiroshi Shimizu (Osaka University, Japan)
- Hans V. Westerhoff (Free University, The Netherlands)
--
Christof Teuscher, PhD
University of California, San Diego (UCSD)
http://www.teuscher.ch
From ckiw at inf.ed.ac.uk Tue Jun 7 05:54:00 2005
From: ckiw at inf.ed.ac.uk (Chris Williams)
Date: Tue, 7 Jun 2005 10:54:00 +0100 (BST)
Subject: Connectionists: UAI 2005: 26-29 July in Edinburgh, UK
Message-ID:
********************************************************************
THE TWENTY-FIRST INTERNATIONAL CONFERENCE ON
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (UAI-05)
CALL FOR PARTICIPATION
July 26-29, 2005
Edinburgh, Scotland
ACCOMODATION BOOKING DEADLINE 13TH JUNE
*********************************************************************
The Twenty First International Conference on Uncertainty in Artificial
Intelligence (UAI-05) will be held in Edinburgh, Scotland on July
26-29, 2005 at the University of Edinburgh. UAI is collocated with
IJCAI-05 which starts immediately after on July 29th.
More details about conference program, including information about the
invited talks, tutorials, and technical papers are available on the
conference website http://www.cs.toronto.edu/uai2005/.
==================
REGISTRATION INFO
==================
The registration fee is $400 ($300 for students). To register, follow
the instructions on the registration site:
http://pos.brightdoc.com/uai2005
===================
ACCOMMODATIONS INFO
===================
Edinburgh, Scotland's capital city, is one of the greenest and
architecturally most beautiful cities in Northern Europe. It is rich
in architecture, social, cultural, learning and sporting facilities.
Please note that the UAI conference is taking place just before the
festivals start in the peak tourist season. We *STRONGLY* advise
attendees to book flights and hotels as soon as
possible. Accommodation is booked via the Edinburgh Conference Bureau,
which can only guarantee accommodation bookings made before
13th June 2005.
Fahiem Bacchus, Max Chickering, Tommi Jaakkola, and Chris Williams
Conference Organizers
UAI 2005
From dayan at gatsby.ucl.ac.uk Wed Jun 8 08:36:01 2005
From: dayan at gatsby.ucl.ac.uk (Peter Dayan)
Date: Wed, 8 Jun 2005 13:36:01 +0100
Subject: Connectionists: Behavioral and Brain Functions
In-Reply-To: <20050608085329.GB16153@flies.gatsby.ucl.ac.uk>
References: <50907.193.217.174.139.1114196535.squirrel@webmail.uio.no>
<20050422195120.GA28336@flies.gatsby.ucl.ac.uk>
<20050607155808.GB5355@flies.gatsby.ucl.ac.uk>
<50732.193.217.174.139.1118220211.squirrel@webmail.uio.no>
<20050608085329.GB16153@flies.gatsby.ucl.ac.uk>
Message-ID: <20050608123601.GE16153@flies.gatsby.ucl.ac.uk>
Behavioral and Brain Functions is a new, open access journal from
biomedcentral, edited by Terje Sagvolden. I enclose his invitation to
submit articles -- the journal's website is:
http://www.behavioralandbrainfunctions.com/
--------------------------------------------------------
Dear Colleague,
Behavioural and Brain Functions has now been launched and I would like
to invite you to submit your next manuscript.
Behavioural and Brain Functions is an Open Access, peer-reviewed,
online journal. We publish original human and animal research, reviews
and data modeling. We consider manuscripts in all areas of
neurobiology and behavior, giving priority to research that combines
both domains. Information about the journal is available at
www.behavioralandbrainfunctions.com.
Behavioral and Brain Functions is an interdisciplinary journal that
will cover developments in human and animal behavioral science,
neuroscience, neuropsychology, cognitive psychology, neurobiology,
linguistics, computer science, and philosophy. The journal will
consider the following types of article: research, book reviews,
commentaries, debate articles, hypotheses, methodology articles,
reviews, short reports and study protocols.
The journal is freely available (at www.behavioralandbrainfunctions.com)
and a number of articles has already been published. Further
information about the journal and its publisher is available from the
website.
Yours sincerely,
Terje Sagvolden
Editor-in-Chief, Behavioural and Brain Functions
From brian.lindsley at oregonstate.edu Mon Jun 13 18:32:24 2005
From: brian.lindsley at oregonstate.edu (Lindsley, Brian)
Date: Mon, 13 Jun 2005 15:32:24 -0700
Subject: Connectionists: EECS RESEARCH ASSOCIATE - OREGON STATE UNIVERSITY -
deadline extended
Message-ID: <7FD26F7931D4E94CA14BBD2038DD6D2FC70767@mtbaker.nws.oregonstate.edu>
POSITION ANNOUNCEMENT
Oregon State University
School of Electrical Engineering and Computer Science Research Associate
Position
The School of Electrical Engineering and Computer Science invites
applications for a full-time Research Associate (post-doctoral
researcher) with an anticipated start date of July 1, 2005. This
position will play a central role in the research and development of
several exciting, federally-funded research projects. The duties and
responsibilities of this position are the following: (a) Plan, carry
out, and publish research on machine learning and intelligent user
interfaces. (b) Implement prototype systems and perform experiments to
evaluate them. (c) Supervise graduate and undergraduate students in
their research. (d) Prepare and deliver talks and progress reports to
funding agencies and scientific meetings. (e) Write grant proposals and
attend funding agency meetings to obtain continuing funding for the
project. Salary is competitive, and benefits package includes several
options for health/dental/life insurance, retirement, as well as a
program of reduced tuition for employee or dependants (some restrictions
apply). This is a fixed-term, 12-month position, with reappointment at
the discretion of the hiring official, and contingent on the
availability of funding.
Qualifications
Required qualifications include:
PhD in computer science or a related field, strong mathematical
background, significant research experience, evidenced by at least two
research publications in machine learning, probabilistic reasoning,
knowledge representation and reasoning, search, intelligent use
interfaces, or intelligent personal assistants. Experience in at least
two of the following areas - knowledge representation frameworks
(logical and/or probabilistic), experience with reasoning methods
(logical and/or probabilistic), experience with experimental machine
learning research. Excellent written and spoken communication skills,
excellent programming and software engineering skills, excitement about
computer science research, and the ability to manage graduate and
undergraduate students working on research projects.
A demonstrable commitment to promoting and enhancing diversity is
preferred.
Research Group
Oregon State is a leader in machine learning and intelligent user
interfaces. The machine learning faculty include Tom Dietterich, Alan
Fern, Xiaoli Fern, Prasad Tadepalli, and Weng-Keen Wong. The
intelligent user interface faculty include Jon Herlocker, Margaret
Burnett, Martin Erwig, Mike Bailey, and Ron Metoyer. These two groups
have a combined staff of 3 postdocs and 2 software developers and
substantial funding from NSF and DARPA. Current projects include the
DARPA-funded CALO effort to build an integrated AI system for the
computer desktop, the NSF-funded TaskTracer project for supporting
multi-tasking knowledge workers, and the DARPA-funded Real World
Learning initiative in Knowledge-Intensive Learning. Future research
directions will likely focus on "transfer learning" across multiple
tasks, multiple people, and multiple organizations.
University and Community
OSU is one of only two American universities to hold the Land Grant, Sea
Grant, Sun Grant, and Space Grant designation and is a Carnegie
Doctoral/Research-Extensive university. OSU is located in Corvallis, a
community of 53,000 people situated in the Willamette Valley between
Portland and Eugene. Ocean beaches, lakes, rivers, forests, high
desert, the rugged Cascade and Coast Ranges, and the urban amenities of
the Portland metropolitan area are all within a 100-mile drive of
Corvallis. Approximately 15,700 undergraduate and 3,400 graduate
students are enrolled at OSU, including 2,600 U.S. students of color
and 950 international students.
The university has an institution-wide commitment to diversity,
multiculturalism, and community. We actively engage in recruiting and
retaining a diverse workforce and student body that includes members of
historically underrepresented groups. We strive to build and sustain a
welcoming and supportive campus environment. OSU provides outstanding
leadership opportunities for people interested in promoting and
enhancing diversity, nurturing creativity, and building community.
To Apply
For full consideration, please send the following materials by June 30,
2005 (hard copies only, no faxes or emails):
* letter of application, describing your research interests, and
qualifications for this position;
* copies of any relevant research publications (or pointers to such on
the web);
* a CV including the names, addresses, and telephone numbers of three
professional references, to:
Research Assistant Search
Committee/TD
School of Electrical Engineering
and Computer Science
Oregon State University
220 Owen Hall
Corvallis, OR 97331
Oregon State University is an Affirmative Action/Equal Opportunity
Employer
From drh at ecs.soton.ac.uk Mon Jun 13 12:04:26 2005
From: drh at ecs.soton.ac.uk (David R. Hardoon)
Date: Mon, 13 Jun 2005 17:04:26 +0100
Subject: Connectionists: PASCAL Network Workshops
Message-ID: <770F908A-9393-45CA-B410-46A7AF7FC982@ecs.soton.ac.uk>
Apologies for multiple copies recieved.
We are pleased to announce two PASCAL workshops that will run back to
back at Cumberland Lodge, Windsor Great Park, UK:
July 4-5th: Statistics and Optimization of Clustering Workshop, see
http://www.ecs.soton.ac.uk/~drh/SOCW/ for description and programme
July 6-7th: Principled methods of trading exploration and
exploitation, see http://www.ecs.soton.ac.uk/~drh/PMTEEW/ for
description and programme
Note that registration should be made by 27th June, see http://
www.ecs.soton.ac.uk/~drh/PMTEEW/TradingRegForm.pdf
Hope to see you there!
David R. Hardoon on behalf of all the organisers.
----------------------------------------------------------------------
"Who dares... wins"
David R. Hardoon drh at ecs.soton.ac.uk
Image, Speech, and Intelligent Systems Research Group
School of Electronics & Computer Science
University of Southampton
Office: +44 23 8059 4882 Fax: +44 23 8059 4498
Mobile: +44 79 6763 4954 http://www.ecs.soton.ac.uk/~drh/
From meeden at cs.swarthmore.edu Mon Jun 13 12:51:18 2005
From: meeden at cs.swarthmore.edu (Lisa Meeden)
Date: Mon, 13 Jun 2005 12:51:18 -0400 (EDT)
Subject: Connectionists: CFP Special Issue of Connection Science on
Developmental Robotics
Message-ID:
Connection Science Journal
http://www.tandf.co.uk/journals/titles/09540091.asp
Call for Papers: Due September 15, 2005
A Special Issue on Developmental Robotics
Guest Editors
Douglas Blank
Lisa Meeden
Developmental robotics is a new approach that focuses on the
autonomous self-organization of general-purpose control systems. It
takes its inspiration from developmental psychology and developmental
neuroscience. Developmental robotics is a move away from task-specific
methodologies where a robot is designed to solve a particular
pre-defined task (such as path planning to a goal location). This new
approach explores the kinds of behaviors that a robot can discover
through self-motivated actions based on its own physical morphology
and the dynamic structure of its environment. Initially a
developmental system might bootstrap itself with some innate
knowledge, but with experience could create more complex
representations and behaviors. Developmental robotics is different
from many learning and evolutionary systems in that the reinforcement
signal, teacher target, or fitness function comes from within the
system. In this manner, these systems are designed to rely more on
mechanisms such as intrinsic motivation or homeostasis.
We invite contributions on architectures for developmental robotics,
examples of developmental behavior in robots, as well as features or
mechanisms of developmental processing including, but not limited to:
self-organization, self-exploration, self-motivation, categorization,
value systems, and anticipation-driven
learning.
For more information on developmental robotics see:
http://DevelopmentalRobotics.org
Submission Instructions and Deadlines
Papers should follow the Connection Science guidelines:
http://www.tandf.co.uk/journals/authors/ccosauth.asp
Papers should be emailed as a PDF attachment to dblank at cs.brynmawr.edu
and meeden at cs.swarthmore.edu, the guest editors.
September 15, 2005 Papers due
October 15, 2005 Reviews returned to authors
November 15, 2005 Final versions of papers due
The special issue will be published in the first quarter of 2006.
From p.berkes at biologie.hu-berlin.de Mon Jun 13 07:56:28 2005
From: p.berkes at biologie.hu-berlin.de (p.berkes@biologie.hu-berlin.de)
Date: Mon, 13 Jun 2005 13:56:28 +0200 (CEST)
Subject: Connectionists: ANN: MDP 1.1.0
Message-ID:
MDP 1.1.0
---------
http://mdp-toolkit.sourceforge.net/
Modular toolkit for Data Processing (MDP) is a Python library to
perform data processing. Already implemented algorithms include:
Principal Component Analysis (PCA), Independent Component Analysis
(ICA), Slow Feature Analysis (SFA), and Growing Neural Gas (GNG).
MDP allows to combine different algorithms and other data processing
elements (nodes) into data processing sequences (flows). Moreover, it
provides a framework that makes the implementation of new algorithms
easy and intuitive.
MDP supports the most common numerical extensions to Python, currently
Numeric, Numarray, SciPy. When used together with SciPy and the symeig
package, MDP gives to the scientific programmer the full power of
well-known C and FORTRAN data processing libraries. MDP helps the
programmer to exploit Python object oriented design with C and FORTRAN
efficiency.
MDP has been written for research in neuroscience, but it has been
designed to be helpful in any context where trainable data processing
algorithms are used. Its simplicity on the user side together with the
reusability of the implemented nodes could make it also a valid
educational tool.
Requirements:
* Python >= 2.3
* one of the following Python numerical extensions:
Numeric, Numarray, or SciPy.
For optimal performance we recommend to use SciPy with LAPACK
and ATLAS libraries, and to install the symeig module.
(sorry for multiple posting)
--
Pietro Berkes
Institute for Theoretical Biology
Humboldt-Universitaet zu Berlin
Invalidenstrasse, 43
D-10115 Berlin, Germany
http://itb.biologie.hu-berlin.de/~berkes
From jf218 at cam.ac.uk Tue Jun 14 16:31:14 2005
From: jf218 at cam.ac.uk (Dr J. Feng)
Date: 14 Jun 2005 21:31:14 +0100
Subject: Connectionists: 12 posts (from lecturer to professor at the Centre
for System Biology)
Message-ID:
Dear All,
We have 12 posts open at System Biology Centre,
Warwick University. Please see
http://www2.warwick.ac.uk/services/personnel/jobsintro/academic/
for details.
Computational Neuroscience is one of the two areas (the other
is Microbiology) the Centre will focus on.
with best regards
Jianfeng
Professor JF Feng
Centre for Scientific Computing
and Computer Science
Warwick University
UK
http://www.dcs.warwick.ac.uk/~feng
From michael at chaos.gwdg.de Wed Jun 15 19:07:53 2005
From: michael at chaos.gwdg.de (Michael Herrmann)
Date: Thu, 16 Jun 2005 01:07:53 +0200 (CEST)
Subject: Connectionists: Tutorial course on Computational Neuroscience
Message-ID:
Applications are invited for a tutorial course on
COMPUTATIONAL NEUROSCIENCE at Goettingen, Germany
September 20 - 24, 2005
organized by J. M. Herrmann, S. Treue and T. Geisel
The course is intended to provide graduate students and young researchers
from all parts of neuroscience with working knowledge of theoretical and
computational methods in neuroscience and to acquaint them with recent
developments in this field. The course includes tutorials and lectures on
the following topics:
Misha Tsodyks (Rehovot)
"Dynamic synaptic transmission in neocortical circuits"
Michael Rudolph (Gif-sur-Yvette)
"Neuronal dynamics in the active brain"
Richard Kempter (Berlin)
"Learning, memory, and plasticity in the hippocampus"
Florentin Woergoetter (Stirling)
"Learning and plasticity in behaving systems"
Stefan Treue (Goettingen)
"Mechanisms and models of visual attention"
The course takes place at the Department of Nonlinear Dynamics of the
Max-Planck Institute for Dynamics and Selforganization, Bunsenstr. 10,
D-37073 Goettingen. A course fee of 100 Euro includes participation in the
tutorials, study materials, and part of the social events. The number of
participants is limited to about 30. Course language is English.
To apply please fill in the application form at:
www.chaos.gwdg.de/~michael/CNS_course_2005/
by July 24, 2005.
For further information please contact: cns-course at chaos.gwdg.de
*********************************************************************
* Dr. J. Michael Herrmann Georg August University Goettingen *
* Tel. : +49 (0)551 5176424 Institute for Nonlinear Dynamics *
* Fax : +49 (0)551 5176439 Bunsenstr. 10, D-37073 Goettingen *
* EMail: michael at chaos.gwdg.de http://www.chaos.gwdg.de *
*********************************************************************
From hitzler at aifb.uni-karlsruhe.de Thu Jun 16 05:59:58 2005
From: hitzler at aifb.uni-karlsruhe.de (Pascal Hitzler)
Date: Thu, 16 Jun 2005 11:59:58 +0200
Subject: Connectionists: NeSy'05 at IJCAI-05: Call for Participation
Message-ID: <42B14D9E.4060908@aifb.uni-karlsruhe.de>
[Apologies for crosspostings]
Call for Participation
Workshop on Neural-Symbolic Learning and Reasoning (NeSy'05)
at IJCAI-05, Edinburgh, Scotland, July 31st, 2005
------------------------------------------------------------
Artificial Intelligence researchers continue to face huge challenges in
their quest to develop truly intelligent systems. The recent
developments in the field of neural-symbolic integration bring an
opportunity to integrate well-founded symbolic artificial intelligence
with robust neural computing machinery to help tackle some of these
challenges.
The Workshop on Neural-Symbolic Learning and Reasoning is intended to
create an atmosphere of exchange of ideas, providing a forum for the
presentation and discussion of the key topics related to neural-symbolic
integration. Topics of interest include:
* The representation of symbolic knowledge by connectionist systems;
* Integrated neural-symbolic learning approaches;
* Extraction of symbolic knowledge from trained neural networks;
* Integrated neural-symbolic reasoning;
* Biological inspiration for neural-symbolic integration;
* Applications in robotics, semantic web, engineering,
bioinformatics, etc.
Preliminary Programme
---------------------
9.15 Opening
9.30 - 10.30 Keynote: Ron Sun
coffee break
11.00 - 11.15 (position paper) Pascal Hitzler, Sebastian Bader, Artur
Garcez: Ontology Learning as a Use-Case for Neural-Symbolic Integration.
11.20 - 11.45 Ernesto Burattini, Edoardo Datteri, Guglielmo Tamburrini:
Neuro-symbolic programs for robots.
11.50 - 12.15 Laurent Orseau: The Principle of Presence: A Heuristic
for Growing Knowledge Structured Neural Networks.
lunch break
13.45 - 14.10 Yuuya Sugita, Jun Tani: Learning Segmentation of Behavior
to Situated Combinatorial Semantics.
14.15 - 14.40 Sebastian Bader, Pascal Hitzler, Andras Witzel:
Integrating First-Order Logic Programs and Connectionist Systems - A
Constructive Approach.
14.45 - 15.00 (position paper) Li Su, Howard Bowman, Brad Wyble:
Symbolic Encoding of Neural Networks using Communicating Automata with
Applications to Verification of Neural Network Based Controllers.
coffee break
15:30 - 15.45 (position paper) Henrik Jacobsson, Tom Ziemke: Rethinking
Rule Extraction from Recurrent Neural Networks.
15.50 - 16.15 Jens Lehmann, Sebastian Bader, Pascal Hitzler: Extracting
Reduced Logic Programs from Artificial Neural Networks.
16.20 - 17.20 Keynote: Steffen Hlldobler: Logic Programs and
Connectionist Systems.
17.30 Closing
Workshop Organisers
-------------------
Artur d'Avila Garcez (City University London, UK)
Jeff Elman (University of California, San Diego, USA)
Pascal Hitzler (AIFB, University of Karlsruhe, Germany)
Programme Committee
-------------------
Artur d'Avila Garcez (City University London, UK)
Howard Blair (Syracuse University, USA)
Jeff Elman (University of California San Diego, USA)
Dov Gabbay (Kings College London, UK)
Marco Gori (University of Siena, Italy)
Barbara Hammer (University of Osnabrck, Germany)
Pascal Hitzler (University Karlsruhe, Germany)
Steffen Hlldobler (TU Dresden, Germany)
Luis Lamb (Federal University of Rio Grande do Sul, Brazil)
John Lloyd (The Australian National University, Australia)
Asim Roy (Arizona State University, USA)
Antony K. Seda (University College Cork, Ireland)
Jude Shavlik (University of Wisconsin, USA)
Rudi Setiono (National University, Singapore)
Alessandro Sperduti (University of Padova, Italy)
Stefan Wermter (University of Sunderland, UK)
Gerson Zaverucha (UFRJ, Brazil)
Keynote speakers
----------------
Steffen Hlldobler (TU Dresden, Germany)
Ron Sun (Rensselaer Polytechnic Institute, USA)
Additional Information
----------------------
General questions concerning the workshop should be addressed to
nesy at soi.city.ac.uk
Workshop website: http://www.neural-symbolic.org/NeSy05/
--
Dr. Pascal Hitzler
Institute AIFB, University of Karlsruhe, 76128 Karlsruhe
email: hitzler at aifb.uni-karlsruhe.de fax: +49 721 608 6580
web: http://www.pascal-hitzler.de phone: +49 721 608 4751
http://www.neural-symbolic.org
From sml at essex.ac.uk Thu Jun 16 10:12:20 2005
From: sml at essex.ac.uk (Lucas, Simon M)
Date: Thu, 16 Jun 2005 15:12:20 +0100
Subject: Connectionists: Neural network format survey
Message-ID:
Dear All,
I'm conducting a survey to find out
more about the formats you use (if any)
to publish and exchange neural network
instances.
The purpose of this, amongst other things,
is to help to decide on a format for possible
forthcoming neural network (and perhaps
other learnable model) design competitions
(for example, a possible objective would be
to find the best pure neural network Go player).
I note that the predicitive model markup language
can describe neural networks:
http://www.dmg.org/v3-0/NeuralNetwork.html
though it's not clear to me whether this is widely
used in practice.
Please respond to me by email: sml at essex.ac.uk
If there are sufficient responses, I'll post
a summary to this list in a few weeks time.
Best regards,
Simon Lucas
--------------------------------------------------
Dr. Simon Lucas
Department of Computer Science
University of Essex
Colchester CO4 3SQ
United Kingdom
Email: sml at essex.ac.uk
http://cswww.essex.ac.uk/staff/lucas/lucas.htm
--------------------------------------------------
From t.heskes at science.ru.nl Tue Jun 21 04:47:08 2005
From: t.heskes at science.ru.nl (Tom Heskes)
Date: Tue, 21 Jun 2005 10:47:08 +0200
Subject: Connectionists: junior researcher
Message-ID: <42B7D40C.7070605@science.ru.nl>
[with apologies for cross-posting]
Marie Curie junior research fellow on Artificial Intelligence at the
Radboud University Nijmegen, The Netherlands
A junior research position is available at the Institute of Computing
and Information Sciences, Radboud University Nijmegen. The junior
researcher will work on the Marie Curie project "Artificial Intelligence
for Industrial Applications", a collaboration between the bearing
manufacturer SKF and ten different research groups throughout Europe.
The position is for three years and aims towards a PhD. The fellowship
is governed by the format of the Marie Curie Early Stage Training
programme, which excludes (in this case) Dutch candidates and prefers
residents of the European union and associated countries.
Candidates should have a degree in computer science, mathematics,
physics, mechanical engineering, artificial intelligence or a related
study and have to be fluent in English.
For more information, see http://www.cs.ru.nl/~tomh/ai4ia_vacancy.html
or contact Tom Heskes at tomh at cs.ru.nl.
From emipar at tsc.uc3m.es Wed Jun 22 11:09:29 2005
From: emipar at tsc.uc3m.es (Emilio Parrado-Hernandez)
Date: Wed, 22 Jun 2005 17:09:29 +0200
Subject: Connectionists: CFP: JMLR special topic on Machine Learning and
Large Scale Optimization
Message-ID: <42B97F29.5020806@tsc.uc3m.es>
--
====================================================
Emilio Parrado-Hernandez
Visiting Lecturer
Department of Signal Processing and Communications,
Universidad Carlos III de Madrid
Avenida de la Universidad 30, 28911 Leganes, Spain
Phone: +34 91 6248738
Fax: +34 91 6248749
====================================================
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From mvanross at inf.ed.ac.uk Fri Jun 24 06:36:26 2005
From: mvanross at inf.ed.ac.uk (Mark van Rossum)
Date: Fri, 24 Jun 2005 11:36:26 +0100
Subject: Connectionists: Postdoctoral fellowship in Computational
Neuroscience
Message-ID: <1119609386.5182.68.camel@localhost>
Postdoctoral Fellowship in Computational Neuroscience
We invite applications for a 5 years EPSRC funded postdoctoral
fellowship to work on theoretical and computational models of neural
information processing and plasticity in the neocortex.
Applicants should have a strong background in mathematics, physics,
computer science, or computational neuroscience and have a commitment
to a future research career in neuroscience. Prior biological or
neuroscience training is not required.
The fellowship allows for top class research in a stimulating
environment. The project involves a large number of labs in the UK
working together to understand cortical computation and its functional
circuitry. With regular meetings and collaborations, it brings together
cortical modellers and physiologists from the UK and abroad. The
Edinburgh component of this work will supervised by David Willshaw and
Mark van Rossum of the Institute for Adaptive and Neural Computation,
School of Informatics.
Edinburgh is one of the leading centres in the UK for Comp Neuroscience.
The institute hosts the EPSRC/MRC Doctoral Training Centre in
Neuroinformatics. It provides a large, active community in computational
neuroscience with strong links with the neuroscience research groups in
Edinburgh and the wider area. Edinburgh has been voted as 'best place to
live in Britain'.
The expected starting data is late summer. The maximal duration is five
years.
To apply please go to www.jobs.ed.ac.uk, vacancy ref. 3004670, and click
on further information for information where to send your application.
Inquiries can be addressed to Mark van Rossum, mvanross at inf.ed.ac.uk
Weblinks: www.anc.ed.ac.uk, www.anc.ed.ac.uk/neuroinformatics,
www.anc.ed.ac.uk/~david/, homepages.inf.ed.ac.uk/mvanross,
From wduch at phys.uni.torun.pl Mon Jun 27 14:58:42 2005
From: wduch at phys.uni.torun.pl (Wlodzislaw Duch)
Date: Mon, 27 Jun 2005 20:58:42 +0200
Subject: Connectionists: ICANN 2005 "Building A Brain" and other workshops
Message-ID: <20050627185841.19F0AA310B@nobel.phys.uni.torun.pl>
ICANN 2005 Workshops - calls for papers
Full-day workshop will be held at the Nicolaus Copernicus University in Torun on
Thursday, Sept. 15th, after the main ICANN'2005 conference.
http://www.ibspan.waw.pl/ICANN-2005/
Calls for papers for the Bioinformatics Workshop, Neuroinformatics Workshop and
the Biomimetic Workshop are at:
http://www.ibspan.waw.pl/ICANN-2005/workshops.html
An additional "Building A Brain" Workshop, organized by John G. Taylor (KCL
London) and Wlodek Duch (NCU Torun/NTU Singapore), has just been announced. In
recent years several projects aiming at a very large scale simulation of brain
functions, neocortex, or even the whole brain, have been formulated. They range
from detailed models of single cortical columns, through simulation of the whole
cortex, to models of the brain based on some specific ideas, such as the
Artificial Brain Architecture and Cognitive Control Understanding System
(ABACCUS) proposed recently. This workshop aims at discusions of the weak and
strong points of these various proposals.
Transportation by buses from Warsaw to Torun on Wednesday evening will be
arranged. For this extra day we plan to have separate volumes of the Springer
Studies in Computational Intelligence focused on a single topic; special issues
of journals may also be arranged by workshop organizers. The 25 Euro
registartion fee includes transportation, lunch and workshop publication costs.
We are looking forward to see you in Torun, a beautiful medieval town in central
Poland that is on the UNESCO World Cultural and Natural Heritage list, see:
http://www.torun.pl/portal/main/index_en.php
Wlodzislaw Duch, general co-chair of the ICANN'2005.
Google: Duch
From t.heskes at science.ru.nl Wed Jun 29 05:13:40 2005
From: t.heskes at science.ru.nl (Tom Heskes)
Date: Wed, 29 Jun 2005 11:13:40 +0200
Subject: Connectionists: two postdoc positions on BCI
Message-ID: <42C26644.8050508@science.ru.nl>
[with apologies for cross-posting]
Two postdoc positions on Brain Computer Interfacing at the Radboud
University Nijmegen, The Netherlands
Two postdoc positions are available at the Institute of Computing and
Information Sciences and F.C. Donders Centre for Cognitive Neuroimaging,
both at the Radboud University Nijmegen. The postdocs will work on the
STW project "Bayesian brain computer interfacing - interpretation of
patient intentions from single-trial EEG". Project leaders are Tom
Heskes and Ole Jensen.
The positions are for three years ("machine learning") and two years
("source modeling/adaptive filtering"), both with possible extension of
another year. The preferred starting date is September 1, 2005.
Candidates should have a PhD degree in computer science, mathematics,
physics, artificial intelligence, cognitive science or a related study,
with a strong background in signal processing/machine learning.
For more information, see http://www.cs.ru.nl/~tomh/bci_vacancies.html
or contact us at tomh at cs.ru.nl or ole.jensen at fcdonders.ru.nl.
From BGabrys at bournemouth.ac.uk Thu Jun 30 11:59:02 2005
From: BGabrys at bournemouth.ac.uk (Bogdan Gabrys)
Date: Thu, 30 Jun 2005 16:59:02 +0100
Subject: Connectionists: PhD Studentship: multiple classifier and prediction
systems
Message-ID: <5DA146E1E559B341A0C85AB49E01F22205F7D3DD@tamar.bournemouth.ac.uk>
EPSRC/BT funded Industrial CASE Studentship
Computational Intelligence Research Group (CIRG)
School of Design, Engineering and Computing,
Bournemouth University, United Kingdom
Applications are invited for a 3 year PhD research studentship to work on a project entitled "High Performance Fusion Systems" which is jointly funded by EPSRC and British Telecommunications plc (BT) under the EPSRC CASE scheme.
The proposed research project will investigate and develop various approaches for highly efficient multiple classifier (prediction) systems composed of actively generated, well performing and decorrelated classifiers (predictors). The emphasis will be put on the automatic avoidance of data overfitting accompanied by complexity and reliability control appropriate for potential industrial applications.
Combination, aggregation and fusion of information are major problems for all kinds of knowledge-based systems, from image processing to decision making, from pattern recognition to automatic learning. Various statistical, machine learning and hybrid intelligent techniques will be used for processing and modelling of imperfect data and information.
The student will be joining a Computational Intelligence Research Group and will be primarily based in the School of Design, Engineering & Computing in Bournemouth but will also spend up to 3 months in each year of the project duration at the BT research labs in Ipswich.
The studentship carries a remuneration of ?12000 pa tax-free and payment of tuition fees at home/EU rate. The successful applicant will need to have a permanent residency status in the UK.
Applicants should have a strong mathematical background and hold a first or upper second class honours degree or equivalent in computer science, mathematics, physics, engineering, statistics or a similar discipline. Additionally the candidate should have strong programming experience using any or combination of C, C++, Matlab or Java. Knowledge of ORACLE and/or Access will be an advantage.
For further details please contact Prof. Bogdan Gabrys, e-mail: bgabrys at bournemouth.ac.uk.
Interested candidates should send a letter of application and a detailed CV with the names and addresses of two referees to: Prof. Bogdan Gabrys, Computational Intelligence Research Group, School of DEC, Bournemouth University, Poole House, Talbot Campus, Poole, BH12 5BB, UK. The applications can be also sent by e-mail.
---------------------------------------------------------------------------------
Prof Bogdan Gabrys
Computational Intelligence Research Group
School of Design, Engineering & Computing
Bournemouth University, Poole House
Talbot Campus, Fern Barrow
Poole, BH12 5BB
United Kingdom
Tel: +44 (0)1202 595298
Fax: +44 (0) 1202 595314
E-mail: bgabrys at bournemouth.ac.uk
WWW: http://dec.bournemouth.ac.uk/staff/bgabrys/
---------------------------------------------------------------------------
From bower at uthscsa.edu Thu Jun 30 16:27:42 2005
From: bower at uthscsa.edu (Jim Bower)
Date: Thu, 30 Jun 2005 15:27:42 -0500
Subject: Connectionists: Postdoctoral Neuroengineering position on Cape Cod
Message-ID:
Postdoctoral position in neurobiology / engineering in Woods Hole
A 4-year DARPA research project, funded annually, to steer the
behavior of sharks in the natural environment through stimulation of
selected sensory brain areas. Expertise in brain stimulation,
multi-electrode recording and neural data analysis most desirable.
Interfacing with wireless data transmission and stereotactic
electrode positioning.
Send applications and inquiries to
Jelle Atema, PhD
Professor
Boston University Marine Program
Marine Biological Laboratory
Woods Hole, MA 02543
Boston University is an Equal Opportunity/Affirmative Action Employer
From schwenk at limsi.fr Thu Jun 30 08:03:40 2005
From: schwenk at limsi.fr (Holger Schwenk)
Date: Thu, 30 Jun 2005 14:03:40 +0200
Subject: Connectionists: Machine learning and speech recogniton,
PhD and postdoc at LIMSI, Paris
Message-ID: <42C3DF9C.4060403@limsi.fr>
New learning algorithms for large vocabulary Speech Recognition
PhD and postdoc positions at LIMSI-CNRS, Orsay, France
The speech processing group at LIMSI-CNRS in Orsay (near Paris) has a long
experience in conducting research in all aspects of speech processing. We have
developed large vocabulary speech recognizers for broadcast news and
conversation speech in several languages (English, French, German, Spanish,
Chinese, Arabic, ...). We are currently involved in several national and
international projects, in particular the integrated European projects TC-STAR
and CHIL.
Funding for a 3 year PhD and a 1 year position (renewable) is available.
Support for conference travel is provided. We are in particular interested in
candidates working on the application of new promising learning algorithms from
the general machine learning community to large vocabulary speech recognition.
When large amounts of acoustic training data are available (>500h), it seems
suboptimal to train the acoustic models directly on all the data. We want to
explore alternative ways to take better advantage of the available resources,
e.g. adaptive data selection, resampling techniques or mixture models. It is
also common to combine several speech recognizers using system combination
(rover and consensus network combination). These multiple systems are usually
build in an ad-hoc way and it would be better to train explicitly systems that
combine well. This could be done by boosting-like methods that construct
sequentially classifiers in function of the errors of the preceding ones.
Another topic of interest are continuous space language models. We want to
investigate different alternative probability estimators and techniques for
unsupervised language model adaptation. A large Linux cluster is available to
support compute extensive research.
The candidate for the PhD position should hold a master in Computer Science,
Electric Engineering or equivalent with experience in the following areas:
large vocabulary continuous speech recognition, machine learning, neural
networks and statistics. Good programming skills in C and working experience
on Linux machines is a necessary condition. The candidate for the postdoc
position is expected to have an established research record in the same areas.
The positions are available immediately.
Application should be sent to Holger Schwenk (schwenk at limsi.fr) or Jean-Luc
Gauvain (gauvain at limsi.fr) with a detailed CV, list of followed classes (for
the PhD position), list of publications (for the postdoc position), and letters
of recommendation or name of references.