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
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 ArchitecturesDaniel 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
Information on the Tenth International Conference on Cognitive and Neural Systems can be found here:
http://cns.bu.edu/cns-meeting/2006conference.htmlInformation on the Ninth International Conference on Cognitive and Neural Systems can be found here:
http://cns.bu.edu/cns-meeting/2005conference.htmlInformation on the Eighth International Conference on Cognitive and Neural Systems can be found here:
http://cns.bu.edu/cns-meeting/2004conference.html
Inquiries to Cynthia Bradford cindy@bu.edu
Last updated April 12, 2007
