ELEVENTH INTERNATIONAL CONFERENCE

ON COGNITIVE AND NEURAL SYSTEMS

 

May 16 19, 2007

 

Boston University

677 Beacon Street

Boston , Massachusetts 02215 USA

http://www.cns.bu.edu/meetings/

 

Sponsored by the Boston University

Center for Adaptive Systems,

Center of Excellence for Learning in Education, Science, and Technology

( http://cns.bu.edu/CELEST/ ),

and

Department of Cognitive and Neural Systems

( http://www.cns.bu.edu/ ),

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 CONFERENCE SPEAKERS

Jorge L. Armony ( McGill University )

Exploring the role of the amygdala in emotional processing

Gary Aston-Jones ( Medical University of South Carolina )

The cortex in context: Locus coeruleus, optimal performance, and maximal utility

Nelson Cowan ( University of Missouri)

Differences between long-term, short-term, and working memory

Shimon Edelman ( Cornell University )

Learning language: Rationalists do it by the rules, empiricists do it to the rules

James Enns ( University of British Columbia )

Unconscious but under control: The role of intention in automated vision and action

Michael S. A. Graziano ( Princeton University )

The organization of behavioral repertoire in motor cortex

Jennifer M. Groh ( Duke University )

Looking at sounds: Neural computations for associating visual and auditory events

Stephen Grossberg ( Boston University )

(Plenary Lecture)

An emerging unified theory of neocortex: From vision to cognition

Alice F. Healy ( University of Colorado )

Training, retention, and transfer of knowledge and skills

Marcia K. Johnson ( Yale University )

Using fMRI to explore components of reflective processing

Philip J. Kellman ( University of California, Los Angeles )

Abstract relations in perception and perceptual learning

Bart Krekelberg ( Rutgers University )

The neural basis of speed perception

Joseph LeDoux ( New York University )

(Plenary Lecture)

Fearful brains in an anxious world

Hal Pashler ( University of California San Diego )

Enhancing learning and slowing forgetting: Some elementary (but neglected) questions

Luiz Pessoa ( Indiana University )

Dynamic emotion perception: Neuroimaging studies of visual attention, awareness, and perceptual decisions

Pieter Roelfsema ( The Netherlands Institute for Neuroscience )

Cortical algorithms for perceptual grouping

Deb Roy ( Massachusetts Institute of Technology )

Meaning machines

Reza Shadmehr ( Johns Hopkins University )

Motor adaptation and the timescales of memory

Frank Tong ( Vanderbilt University )

From brain reading to mind reading: fMRI studies of human visual perception

 

Workshop on Biologically-Inspired
Cognitive Architectures

Daniel Bullock ( Boston University )

Modeling neural circuits for reward-guided learning, evaluation, and decision

Dario Floreano & Mototaka Suzuki ( Swiss Federal Institute of Technology )

Enactive robot vision

Deepak Khosla ( HRL Laboratories LLC )

Biologically-inspired cognitive architecture for integrated learning, action and perception (BICA-LEAP)

John Laird ( University of Michigan )

A framework for biologically inspired cognitive architectures.

William Ross ( MIT Lincoln Laboratory )

Biologically inspired what-where video surveillance systems

Patrick Winston ( Massachusetts Institute of Technology )

         biologically inspired

Steps toward ^ artificial intelligence

 

CALL FOR ABSTRACTS

REGISTRATION

SCHEDULE

HOTEL INFORMATION

MAP AND PARKING

LOCAL RESTAURANTS

Information on the Tenth International Conference on Cognitive and Neural Systems can be found here:
http://cns-web.bu.edu/cns-meeting/2006conference.html

Information on the Ninth International Conference on Cognitive and Neural Systems can be found here:
http://cns-web.bu.edu/cns-meeting/2005conference.html

Information on the Eighth International Conference on Cognitive and Neural Systems can be found here:
http://cns-web.bu.edu/cns-meeting/2004conference.html

 

Inquiries to Cynthia Bradford cindy@bu.edu

Last updated April 12, 2007

 

 


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