1-4 October, 2000

at The Banbury Center of Cold Spring Harbor Laboratory
Organized By: H. Sebastian Seung (MIT), David W. Tank (Bell Labs)

Session 1:

Mark D'Esposito, University of California, Berkeley:
Towards understanding the role of prefrontal cortex in working memory: evidence from functional MRI.

Patricia S. Goldman-Rakic, Yale University School of Medicine, New Haven, Connecticut:
Prefrontal microcircuits and the temporal dynamics of working memory.

Xiao-Jing Wang, Brandeis University, Waltham, Massachusetts:
Persistent activity in prefrontal cortex: synaptic mechanisms and possible role in perceptual decision.

Mark Bodner, University of California, Los Angeles:
Cortical attractors in working memory.

Daniel Durstewitz, Sulk Institute for Biological Studies, La Jolla, California:
Modulatory control of and transitions in working memory.

Session 2:

Richard A. Andersen, California Institute of Technology, Pasadena:
The nature of delay activity in the posterior parietal cortex.

Ehud Zohary, Hebrew University, Jerusalem, Israel:
Strategies of visual memory: behavioral, neuronal and computational perspectives.

Meir Griniasty, Intel Cellular Communication Division, Givat Shmuel, Israel:
Correlations between pattertns of persistent neural activity and the Hopfield model.

Wolfram Schultz, University Fribourg, Switzerland:
Predictive coding of behavioral outcomes in primate basal ganglia and frontal cortex.

John E. Lisman, Brandeis University, Waltham, Massachusetts:
Mechanisms of multi-item working memory.

Alexei Koulakov, Salk Institute, La Jolla, California:
Instantons in Working Memory: Implications for Schizophrenia.

Alfonso Renart, Brandeis University, Waltham, Massachusetts:
Low rate and highly variable persistent activity in a micro-columnar LIF network model.

Bijan J. Pesaran, California Institute of Technology, Pasadena:

Session 3:

Carlos Brody, New York University, New York, New York:
Single and multielectrode recordings in primate prefrontal cortex during parametric working memory tasks.

Haim I. Sompolinsky, The Hebrew University, Jerusalem, Israel:

G. Bard Ermentrout, University of Pittsburgh, Pennsylvania:
Mechanisms underlying maintained activity.

Steven Wise, National Institutes of Health, Bethesda, Maryland:
Empirical dissociation of confounded spatial variables in instructed-delay tasks: attention vs. memory vs. gaze vs intention vs cue vs target.

Eberhard E. Fetz, University Washington School of Medicine, Seattle:
Neural mechanisms mediating persistent activity in primate motor cortical and spinal circuits.

Session 4:

Charles R. Gallistel, Rutgers University, Piscataway, New Jersey:
Various behaviors that appear to require integration with respect to time.

Chris Kaneko, University of Washington, Seattle:
Neural integration in the oculomotor system of the alert monkey.

H. Sebastian Seung, Massachusetts Institute of Technology, Cambridge:
Recurrent network models of the oculomotor integrator.

David W. Tank, Lucent Technologies, Murray Hill, New Jersey:
Persistent activity in a goldfish oculomotor neural integrator.

Robert Baker, New York University School of Medicine, New York, New York:
Neural basis and function of eye velocity storage.

Partha W. Mitra, Lucent Technologies, Murray Hill, New Jersey:

Session 5:

Jeffrey S. Taube, Dartmouth College, Hanover, New Hampshire:
Persistent neural activity in the head direction cell network.

Kechen Zhang, The Salk Institute, La Jolla, California:
Attractor theories of the head-direction system: necessary features and difficulties.

Bruce L. McNaughton, University of Arizona, Tucson:

David S. Touretzky, Carnegie Mellon University, Pittsburgh, Pennsylvania:
Attractor Maps in the Rodent Hippocampus.

Michael N. Shadlen, University of Washington, Seattle:
Neural integration in parietal cortex: accumulating the evidence.

Session 6:

David A. McCormick, Yale University School of Medicine, New Haven, Connecticut:
Cellular basis for recurrent and rhythmic spontaneous activity in the cerebral cortex.

Carson Chow, University of Pittsburgh, Pennsylvania:
A spiking neuron model of binocular rivalry.

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