Large-scale neuronal theories of the brain
著者
書誌事項
Large-scale neuronal theories of the brain
（Computational neuroscience）
MIT Press, c1994
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注記
"A Bradford book"
Includes bibliographical references (p. [301]-338) and index
内容説明・目次
内容説明
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
目次
- What is the computational goal of the neocortex?, Horace Barlow
- a critique of pure vision, Patricia S. Churchland et al
- corical systems for retrieval of concrete knowledge - the convergence zone framework, Antonia R. Damasio and Hanna Damasio
- the interaction of neural systems for attention and memory, Robert Desimone et al
- some further ideas regarding the neuronal basis of awareness, Christof Koch and Francis Crick
- perception as an oneiric-like state modulated by the senses, Rodolfo R. Llinas and Urs Ribary
- neuronal architectures for pattern-theoretic problems, David Mumford
- observations on cortical mechanisms for object recognition and learning, Tomaso A. Poggio and Anya Hurlbert
- constructing neuronal theories of mind, Michael I. Posner and Mary K. Rothbart
- putative functions of temporal correlations in neocortical processing, Wolf Singer
- what form should a cortical theory take?, Charles F. Stevens
- sequence seeking and counterstreams - a model for bidirectional information flow in the cortex, Shimon Ullman
- dynamic routing strategies in sensory, motor and cognitive processing, David C. Van Essen et al.
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