Linking Mind to Brain

May 19-22, 2004

Department of Cognitive and Neural Systems

Boston University

677 Beacon Street

Boston, MA 02215


See below for registration information


In 1983, Stephen Grossberg gave a week-long series of tutorial lectures at an NSF-sponsored conference at Arizona State University. The lectures included a self-contained introduction to principles, mechanisms, and architectures whereby neural models link mind to brain and inspire neuromorphic applications to technology. Many leaders of the Connectionist Revolution which gained momentum during the mid-1980s attended the conference. In 19901992, he gave three additional tutorial lecture series at the Wang Institute of Boston University before an international conference on behavioral and neural modeling.

Since 1992, major breakthroughs have occurred in the theoretical understanding of how a brain gives rise to a mind. Qualitatively new computational theories have been discovered that have begun to quantitatively explain and predict the neurophysiologically recorded dynamics of identified nerve cells, in anatomically verified circuits and systems, and the behaviors that they control.


Because these results clarify how an intelligent system can autonomously adapt to a changing world, they have also been used to develop biologically-inspired solutions to technological problems.

Several research groups have asked Professor Grossberg to give another lecture series to chart recent progress. One two-hour tutorial lecture will be given from 8-10 AM on each of the four days from May 19-22. This tutorial will be followed by the regular sessions of the Eighth International Conference on Cognitive and Neural Systems. These self-contained lectures will introduce concepts, principles, and mechanisms of mind/brain modeling and summaries of recent models about how brain development, learning, and information processing control perception, cognition, emotion, and action during both normal and abnormal behaviors. These models include many different parts of the brain and their interactions. Brain-inspired algorithms for solving difficult technological problems will also be described.





An overview of recent progress

Modeling fundamentals: Three types of memory and examples

Cooperative-competitive dynamics and short-term memory

Habituative dynamics and medium-term memory

Associative learning and long-term memory



Learning, categorization, and memory

Expectation, matching, and cognitively-mediated attention

Adaptive resonance and consciousness

Memory search and hypothesis testing

A thought experiment about cognitive error correction

Exemplar vs. prototype learning

Auditory streaming and scene analysis

Working memory, chunking, and prediction

Variable-rate speech perception and word recognition

Applications to classification and prediction



Reinforcement, motivation, and motivationally-mediated attention

A thought experiment about synchronous processing

Attentional blocking and unblocking

Prediction and causality

Secondary conditioning and recurrent dynamics

Selective forgetting and opponent processing

Coordinating cognitive and cognitive-emotional learning

Adaptively timed learning and gating

Applications to schizophrenia and other mental disorders



Light adaptation and discounting the illuminant

Perceptual grouping and object attention

Surface lightness and color perception

3D vision and figure-ground perception

Motion perception

Cortical development

A unified laminar neocortical model

Applications to image processing



Navigation using optic flow

Eye movements

Arm movements

Compensating for unexpected forces

Learning to balance reactive and planned movements

Walking and running

Applications to robotics




The fee includes 8 coffee breaks.

It does not include participation in any other activities of the conference.

Tutorial-only registrants will leave the conference by 10:30 AM each day.

See below for registration form.


See for the program and registration form for the Eighth International Conference on Cognitive and Neural Systems.


See for information about Professor Grossberg.



Registration Form

Grossberg Lectures

Department of Cognitive and Neural Systems

Boston University

677 Beacon Street

Boston, Massachusetts 02215

May 19 - 22, 2004

Fax: +1 617 353 7755


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The registration fee of $35 includes 2 coffee breaks for each of the 4 days of the tutorial.

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Inquiries to Cynthia Bradford