Computational Neuroscience (Bradford Books)

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9780262691642: Computational Neuroscience (Bradford Books)
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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.Eric L. Schwartz is Professor of Brain Research and Research Professor of Computer Science, Courant Institute of Mathematical Sciences, New York University Medical Center. Computational Neuroscience is included in the System Development Foundation Benchmark Series.

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Editorial: A Bradford Book (1993)
ISBN 10: 0262691647 ISBN 13: 9780262691642
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Descripción A Bradford Book, 1993. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0262691647

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Eric L Schwartz
Editorial: MIT Press (1993)
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Descripción MIT Press, 1993. PAP. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9780262691642

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Eric L Schwartz
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Descripción MIT Press, 1993. PAP. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9780262691642

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Editorial: MIT Press Ltd, United States (1993)
ISBN 10: 0262691647 ISBN 13: 9780262691642
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Descripción MIT Press Ltd, United States, 1993. Paperback. Estado de conservación: New. New edition. 248 x 215 mm. Language: English . Brand New Book ***** Print on Demand *****. 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.Eric L. Schwartz is Professor of Brain Research and Research Professor of Computer Science, Courant Institute of Mathematical Sciences, New York University Medical Center. Computational Neuroscience is included in the System Development Foundation Benchmark Series. Nº de ref. de la librería APC9780262691642

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Eric L. Schwartz (Editor)
Editorial: A Bradford Book (1993)
ISBN 10: 0262691647 ISBN 13: 9780262691642
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Descripción A Bradford Book, 1993. Paperback. Estado de conservación: New. Nº de ref. de la librería DADAX0262691647

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Editorial: MIT Press Ltd, United States (1993)
ISBN 10: 0262691647 ISBN 13: 9780262691642
Nuevos Paperback Cantidad: 10
Impresión bajo demanda
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Descripción MIT Press Ltd, United States, 1993. Paperback. Estado de conservación: New. New edition. 248 x 215 mm. Language: English . Brand New Book ***** Print on Demand *****.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.Eric L. Schwartz is Professor of Brain Research and Research Professor of Computer Science, Courant Institute of Mathematical Sciences, New York University Medical Center. Computational Neuroscience is included in the System Development Foundation Benchmark Series. Nº de ref. de la librería APC9780262691642

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Editorial: A Bradford Book
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Descripción A Bradford Book. PAPERBACK. Estado de conservación: New. 0262691647 Special order direct from the distributor. Nº de ref. de la librería ING9780262691642

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Editorial: A Bradford Book
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Descripción A Bradford Book. Paperback. Estado de conservación: New. Paperback. 441 pages. Dimensions: 9.8in. x 8.4in. x 1.2in.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. Eric L. Schwartz is Professor of Brain Research and Research Professor of Computer Science, Courant Institute of Mathematical Sciences, New York University Medical Center. Computational Neuroscience is included in the System Development Foundation Benchmark Series. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9780262691642

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ISBN 10: 0262691647 ISBN 13: 9780262691642
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Descripción Estado de conservación: Brand New. Book Condition: Brand New. Nº de ref. de la librería 97802626916421.0

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