Computational Neuroscience

MIT Press

ISBN 10: 0262691647 / ISBN 13: 9780262691642

Published by MIT Press, 1993

About this Item

Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Seller Inventory # M00262691647-G

Bibliographic Details

• Title: Computational Neuroscience
• Publisher: MIT Press
• Publication Date: 1993
• Language: English
• ISBN 10: 0262691647
• ISBN 13: 9780262691642
• Binding: Soft cover
• Condition: good

About this title

Synopsis

The thirty original contributions in this book provide a working definition of "computational neuroscience" as the area in which problems lie simultaneously within computer science and neuroscience. They review this emerging field in historical and philosophical overviews and in stimulating summaries of recent results. Leading researchers address the structure of the brain and the computational problems associated with describing and understanding this structure at the synaptic, neural, map, and system levels. The overview chapters discuss the early days of the field, provide a philosophical analysis of the problems associated with confusion between brain metaphor and brain theory, and take up the scope and structure of computational neuroscience. Synaptic-level structure is addressed in chapters that relate the properties of dendritic branches, spines, and synapses to the biophysics of computation and provide a connection between real neuron architectures and neural network simulations. The network-level chapters take up the preattentive perception of 3-D forms, oscillation in neural networks, the neurobiological significance of new learning models, and the analysis of neural assemblies and local learning rides. Map-level structure is explored in chapters on the bat echolocation system, cat orientation maps, primate stereo vision cortical cognitive maps, dynamic remapping in primate visual cortex, and computer-aided reconstruction of topographic and columnar maps in primates. The system-level chapters focus on the oculomotor system VLSI models of early vision, schemas for high-level vision, goal-directed movements, modular learning, effects of applied electric current fields on cortical neural activity neuropsychological studies of brain and mind, and an information-theoretic view of analog representation in striate cortex.

Computational Neuroscience is included in the System Development Foundation Benchmark Series.

About the Author

Eric L. Schwartz is Professor of Cognitive and Neural Systems at Boston University.