ICCNS 2009
| ICCNS 2009 | |
|---|---|
13th International Conference on Cognitive and Neural Systems
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| Dates | May 27, 2009 (iCal) - May 30, 2009 |
| Homepage: | www.cns.bu.edu/meetings |
| Location | |
| Location: | Boston, Massachusetts |
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| Important dates | |
| Submissions: | TBD "TBD" contains an extrinsic dash or other characters that are invalid for a date interpretation.
|
| Table of Contents | |
THIRTEENTH INTERNATIONAL CONFERENCE
ON COGNITIVE AND NEURAL SYSTEMS
May 27–30, 2009
Boston University
677 Beacon Street
Boston, Massachusetts 02215 USA
http://www.cns.bu.edu/meetings/
Sponsored by the Boston University
Center for Adaptive Systems,
Department of Cognitive and Neural Systems (http://www.cns.bu.edu/),
and
Center of Excellence for Learning in Education, Science, and Technology (http://cns.bu.edu/CELEST)
with financial support from the National Science Foundation
This interdisciplinary conference is attended each year by approximately 300 people from 30 countries around the world. As in previous years, the conference will focus on solutions to the questions:
HOW DOES THE BRAIN CONTROL BEHAVIOR?
HOW CAN TECHNOLOGY EMULATE BIOLOGICAL INTELLIGENCE?
The conference is aimed at researchers and students of computational neuroscience, cognitive science, neural networks, neuromorphic engineering, and artificial intelligence. It includes invited lectures and contributed lectures and posters by experts on the biology and technology of how the brain and other intelligent systems adapt to a changing world. The conference is particularly interested in exploring how the brain and biologically-inspired algorithms and systems in engineering and technology can learn. Single-track oral and poster sessions enable all presented work to be highly visible. Three-hour poster sessions with no conflicting events will be held on two of the conference days. Posters will be up all day, and can also be viewed during breaks in the talk schedule.
CONFIRMED INVITED SPEAKERS
Marisa Carrasco (New York University)
How attention affects perception
Paul Cisek (University of Montreal)
The blurry borders between deciding and doing
John Gabrieli (Massachusetts Institute of Technology)
Development of learning systems in the human brain
Mary Hayhoe (University of Texas)
Adaptive gaze control in natural environments
David Knill (University of Rochester)
Adaptive Bayesian priors for depth perception
Richard Krauzlis (The Salk Institute)
The soft underbelly of vision and action: The role of the brainstem in defining what’s behaviorally relevant
William Marslen-Wilson (MRC Cognition and Brain Sciences Unit, Cambridge)
Neurobiological foundations for human language: General and specific constraints
Alexandre Pouget (University of Rochester)
Generalized probabilistic population codes
Robert Remez (Columbia University)
Specificity and versatility in the perceptual organization of speech: Findings and implications
Wolfram Schultz (University of Cambridge) (Plenary Speaker)
Efficient reward processing through subjective, predictive, and adaptive coding
Barbara Shinn-Cunningham (Boston University)
How learning influences everyday communication
David Van Essen (Washington University)
Functional specialization of cerebral cortex in humans and nonhuman primates
Stan Williams (Hewlett Packard) (Plenary Speaker)
The memristor: An inorganic synapse for neural computation
WORKSHOP ON OBJECT AND SPATIAL LEARNING, RECOGNITION,
AND ATTENTION: FROM CIRCUITS TO CONSCIOUSNESS
Ed Connor (Johns Hopkins University)
Neural representation of object shape in ventral pathway visual cortex
James DiCarlo (Massachusetts Institute of Technology)
Untangling object recognition: How does the ventral visual stream achieve invariant object representation?
Stephen Grossberg (Boston University)
Neural dynamics of attentive object and scene learning and recognition
Nancy Kanwisher (Massachusetts Institute of Technology)
Feedback of visual object information to foveal retinotopic cortex
Aude Oliva (Massachusetts Institute of Technology)
Remembering thousands of images with high fidelity
Carl Olson (Carnegie Mellon University)
What neurons in monkey inferotemporal cortex tell us about human perception
Keiji Tanaka (RIKEN Brain Science Institute)
Representation of object categories in activity patterns of inferotemporal cell population
WORKSHOP ON THE NEURAL BASIS OF MENTAL DISORDERS
Ann Graybiel (Massachusetts Institute of Technology)
Learning and memory mechanisms of the basal ganglia
Ralph Hoffman (Yale University)
Steps towards developing an artificial patient with schizophrenia
David Plaut (Carnegie-Mellon University)
Surface dyslexia and semantic dementia: Beyond single-case studies in cognitive neuropsychology
Terje Sagvolden (University of Oslo)
Attention-deficit/hyperactivity disorder as RED – A reinforcement/extinction disorder
Roger Traub (IBM Watson Research Center)
Fast and very fast ()75 Hz) oscillations in neuropsychiatric disease
CALL FOR ABSTRACTS
Session Topics:
* vision * object recognition
* image understanding * neural circuit models
* audition * neural system models
* speech and language * mathematics of neural systems
* unsupervised learning * robotics
* supervised learning * hybrid systems (fuzzy, evolutionary, digital)
* reinforcement and emotion * neuromorphic VLSI
* sensory-motor control * industrial applications
* cognition, planning, and attention * other
* spatial mapping and navigation
Contributed abstracts must be received, in English, by January 31, 2009. Email notification of acceptance will be provided by February 28, 2009. A meeting registration fee must accompany each abstract. The fee will be refunded if the abstract is not accepted for presentation. Fees of accepted abstracts will be returned upon written request only until April 10, 2009.
Abstracts must not exceed one 8.5"x11" page in length, with 1" margins on top, bottom, and both sides in a single-column format with a font of 10 points or larger. The title, authors, affiliations, surface, and email addresses should begin each abstract. A separate cover letter should include the abstract title; name and contact information for corresponding and presenting authors; requested preference for oral or poster presentation; and a first and second choice from the topics above, including whether it is biological (B) or technological (T) work [Example: first choice: vision (T); second choice: neural system models (B)].
Contributed talks will be 15 minutes long. Posters will be displayed for a full day. Overhead, slide, and computer projector facilities will be available for talks. Accepted abstracts will be printed in the conference proceedings volume. No extended paper will be required.
Abstracts should be submitted electronically as Word files to cindy@bu.edu using the phrase “13th ICCNS abstract submission” in the subject line or as paper hard copy (four copies of the abstract with one copy of the cover letter and the registration form) to Cynthia Bradford, Boston University, CNS Department, 677 Beacon Street, Boston MA 02215 USA. Fax submissions of the abstract will not be accepted.
REGISTRATION INFORMATION: Early registration is recommended using the registration form below. Student registrations must be accompanied by a letter of verification from a department chairperson or faculty/research advisor.
STUDENT TRAVEL FELLOWSHIPS: Fellowships for PhD candidates and postdoctoral fellows who do not live in the Boston area are available to help cover travel costs. The application deadline is January 31, 2009. Email notification will occur by February 28, 2009. Fellowship applications should be sent to the abstract submission address shown above. Each application should include the applicant's CV; faculty or PhD research advisor's name, address, and email address; relevant courses and other educational data; a list of research articles; and a letter from the faculty or PhD advisor summarizing how the applicant may benefit from the meeting. Fellowship applicants who also submit an abstract must include the registration fee payment with their abstract submission. Fellowship checks will be distributed after the meeting.
REGISTRATION FORM
Thirteenth International Conference on Cognitive and Neural Systems
May 27–30, 2009
Boston University
Department of Cognitive and Neural Systems
677 Beacon Street
Boston, Massachusetts 02215 USA
Fax: +1 617 353 7755
Mr/Ms/Dr/Prof:_____________________________________________________
Affiliation:_________________________________________________________
Address:__________________________________________________________
City, State, Postal Code:______________________________________________
Phone and Fax:_____________________________________________________
Email:____________________________________________________________
The registration fee includes a copy of the conference proceedings volume, a reception on Friday night, and 3 coffee breaks each day.
CHECK ONE:
( ) $95 Conference (Regular)
( ) $65 Conference (Student)
METHOD OF PAYMENT:
[ ] Enclosed is a check made payable to "Boston University"
Checks must be made payable in US dollars and issued by a US correspondent bank. Each registrant is responsible for any and all bank charges.
[ ] I wish to pay by credit card
(MasterCard, Visa, or Discover Card only)
Name as it appears on the card:___________________________________________
Type of card: _____________________________ Expiration date:________________
Account number: _______________________________________________________
Signature:____________________________________________________________
_______________________________________________
Comp-neuro mailing list
Comp-neuro@neuroinf.org
http://www.neuroinf.org/mailman/listinfo/comp-neuro
This CfP was obtained from WikiCFP
Facts about "ICCNS 2009"
| Acronym | ICCNS 2009 + |
| End date | May 30, 2009 + |
| Event type | Conference + |
| Has coordinates | 42° 21' 20", -71° 3' 38"Latitude: 42.355433333333 Longitude: -71.060511111111 + |
| Has location city | Boston + |
| Has location country | Category:Massachusetts + |
| Homepage | http://www.cns.bu.edu/meetings + |
| IsA | Event + |
| Start date | May 27, 2009 + |
| Title | 13th International Conference on Cognitive and Neural Systems + |
