May 19 - 22, 2004

Boston University
677 Beacon Street
Boston, Massachusetts 02215

Sponsored by the
Center for Adaptive Systems
and the
Department of Cognitive and Neural Systems
with financial support from the
Office of Naval Research

This interdisciplinary conference is attended each year by approximately 300 people from 30 countries around the world. As during previous years, the conference will focus on solutions to the fundamental 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. The conference includes tutorial and 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. 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.



Stephen Grossberg (Boston University): "Linking brain to mind." See below for details.



Ehud Ahissar (Weizmann Institute of Science): "Encoding and decoding of vibrissal active touch"

John Anderson (Carnegie Mellon University): "Using fMRI to track the components of a cognitive architecture"

Alan D. Baddeley (University of Bristol): "In search of the episodic buffer"

Moshe Bar (Massachusetts General Hospital): "Top-down facilitation of visual object recognition"

Gail A. Carpenter (Boston University): "Information fusion and hierarchical knowledge discovery by ARTMAP neural networks"

Stephen Goldinger (Arizona State University): "Generalization gradients in perceptual memory"

Daniel Kersten (University of Minnesota): "How does human vision resolve ambiguity about objects?"

Stephen M. Kosslyn (Harvard University): "The imagery debate 30 years later: Can neuroscience help resolve the issue?"

Tai-Sing Lee (Carnegie Mellon University): "Inference and prediction in the visual cortex"

Eve Marder (Brandeis University): "Plasticity and stability in rhythmic neuronal networks"

Bartlett W. Mel (University of Southern California): "The pyramidal neuron: What sort of computing device?"

Miguel Nicolelis (Duke University): "Real-time computing with neural ensembles"

Jeffrey D. Schall (Vanderbilt University): "Neural selection and control of visual guided eye movements"

Chantal Stern (Boston University): "Sequence? What sequence? fMRI studies of the medial temporal lobe in sequence learning"

Mriganka Sur (Massachusetts Institute of Technology): "Plasticity and dynamics of visual cortex networks"

Joseph Z. Tsien (Princeton University): "Temporal analysis of memory process"

William H. Warren Jr. (Brown University): "Behavioral dynamics of locomotor path formation"

Jeremy Wolfe (Harvard Medical School): "Has `preattentive vision' reached the end of the road?"


LINKING BRAIN TO MIND: A Tutorial Lecture Series
by Stephen Grossberg

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 1990-1992, three additional tutorial lecture series were given at the Wang Institute of Boston University.

Since 1992, major breakthroughs have occurred in the theoretical understanding of how a brain gives rise to a mind. Models 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. Each morning session of the May 2004 conference will include one such tutorial lecture. The 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. Brain-inspired algorithms for solving difficult technological problems will also be described.

Grossberg Lectures
Call for Abstracts

Last updated April 28, 2004


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