Christof Koch

Joel Davis

Chief Scientific Officer Christof Koch

Joel L. Davis

Terrence J Sejnowski

Tomaso A Poggio

The authors encompass a broad background, from biophysics and electrophysiology to psychophysics, neurology, and computational vision. However, all the chapters focus on a common issue: the role of the primate (including human) cerebral cortex in memory, visual perception, focal attention, and awareness.Large-Scale Neuronal Theories of the Brain brings together thirteen original contributions by some of the top scientists working in neuroscience today. It presents models and theories that will most likely shape and influence the way we think about the brain, the mind, and interactions between the two in the years to come. Chapters consider global theories of the brain from the bottom up--providing theories that are based on real nerve cells, their firing properties, and their anatomical connections. This contrasts with attempts that have been made by psychologists and by theorists in the artificial intelligence community to understand the brain strictly from a psychological or computational point of view. The authors encompass a broad background, from biophysics and electrophysiology to psychophysics, neurology, and computational vision. However, all the chapters focus on a common issue: the role of the primate (including human) cerebral cortex in memory, visual perception, focal attention, and awareness.ContributorsHorace Barlow. Patricia Churchland, V. S. Ramachandran, and Terrence J. Sejnowski. Antonio R. Damasio and Hanna Damasio. Robert Desimone, Earl K. Miller, and Leonardo Chelazzi. Christof Koch and Francis Crick. Rodolfo R. Llinas and Urs Ribary. David Mumford. Tomaso Poggio and Anya Hurlbert. Michael I. Posner and Mary K. Rothbart. Wolf Singer. Charles F. Stevens. Shimon Ullman. David C. Van Essen, Charles W. Anderson, and Bruno A. Olshausen

Large-scale Neuronal Theories of the Brain

Jochen Braun

An attempt to derive a comprehensive theory of attention from both neurobiological and psychological data.

Visual Attention and Cortical Circuits

Richard F. Thompson

M. Baudry

An up-to-date overview of the current status of research on the full scope of synaptic plasticity, including synaptic remodeling in response to damage, long-term depression and long-term potentiation, and learning and memory.Synaptic Plasticity presents an up-to-date overview of the current status of research on the full scope of synaptic plasticity, including synaptic remodeling in response to damage, long-term depression and long-term potentiation, and learning and memory. The contributions are written by leading experts in the field and cover approaches from biochemical, anatomical, physiological, behavioral, and computational levels. They offer hypotheses concerning the molecular and cellular mechanisms that are responsible for the various manifestations of synaptic plasticity and propose models explaining how these cellular events can be linked to the functional and behavioral expressions of these adaptive principles. ContentsIntroduction - Molecular Correlates of Activity-dependent Development and Synaptic Plasticity, S. Hockfield - Molecular Sorting in Neurons, 0. Steward - Molecular and Morphological Responses to Deafferentation in Rodents, C. E. Finch, T. H. McNeill - Forms of Long-term Potentiation Induced by NMDA and Non-NMDA Receptor Activation, T. Teyler, L. Grover - Long-term Potentiation: Biochemical Mechanisms, M. Baudry, G. Lynch - Cerebellar Mechanisms of Long-Term Depression, M. Ito - Long-term Depression: Related Mechanisms in Cerebellum, Neocortex, and Hippocampus, A. Artola, W. Singer - Theory of Synaptic Plasticity in Visual Cortex, N. Intrator, M. F. Bear, L. N. Cooper, M. A. Paradiso - A Theoretical and Experimental Strategy for Realizing a Biologically Based Model of the Hippocampus, T. W. Berger et al - Synaptic Plasticity, Learning, and Memory, S. P. Rose - Synaptic Plasticity and Memory Storage, R. F. Thompson et al

Molecular, Cellular, and Functional Aspects

Synaptic Plasticity

Joel L. Davis

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