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PERSISTENT NEURAL ACTIVITY
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.
Posters
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:
Untitled
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:
Untitled
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:
Untitled
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:
Untitled
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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