Spikes: Exploring the Neural Code (Computational Neuroscience)

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9780262681087: Spikes: Exploring the Neural Code (Computational Neuroscience)

Book by Rieke Fred Warland David de Ruyter van Steveninck

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"A joy to read... This book will undoubtedly become a classic. Theideas presented in it have already begun (in no small part through thework of the authors) to reshape our views of the neural code. Thisbook will make them accessible to a much wider audience." Anthony Zador , Science "Spikes is a really wonderful book. The particulartheory about how the brain works that informs the presentation, and thusdetermines how neural coding is to be described, is clearly thought throughand the arguments are attractively and intelligently presented." Charles F. Stevens, The Salk Institute

Reseña del editor:

Our perception of the world is driven by input from the sensory nerves. This input arrives encoded as sequences of identical spikes. Much of neural computation involves processing these spike trains. What does it mean to say that a certain set of spikes is the right answer to a computational problem? In what sense does a spike train convey information about the sensory world? Spikes begins by providing precise formulations of these and related questions about the representation of sensory signals in neural spike trains. The answers to these questions are then pursued in experiments on sensory neurons.The authors invite the reader to play the role of a hypothetical observer inside the brain who makes decisions based on the incoming spike trains. Rather than asking how a neuron responds to a given stimulus, the authors ask how the brain could make inferences about an unknown stimulus from a given neural response. The flavor of some problems faced by the organism is captured by analyzing the way in which the observer can make a running reconstruction of the sensory stimulus as it evolves in time. These ideas are illustrated by examples from experiments on several biological systems.Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by "real" nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory. A quantitative framework is used to pose precise questions about the structure of the neural code. These questions in turn influence both the design and analysis of experiments on sensory neurons.

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1.

Fred Rieke, David Warland, Rob de Ruyter Van Steveninck
Editorial: MIT Press Ltd, United States (1999)
ISBN 10: 0262681080 ISBN 13: 9780262681087
Nuevos Paperback Cantidad: 1
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The Book Depository
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Descripción MIT Press Ltd, United States, 1999. Paperback. Estado de conservación: New. Reprint. 226 x 178 mm. Language: English . Brand New Book. Our perception of the world is driven by input from the sensory nerves. This input arrives encoded as sequences of identical spikes. Much of neural computation involves processing these spike trains. What does it mean to say that a certain set of spikes is the right answer to a computational problem? In what sense does a spike train convey information about the sensory world? Spikes begins by providing precise formulations of these and related questions about the representation of sensory signals in neural spike trains. The answers to these questions are then pursued in experiments on sensory neurons.The authors invite the reader to play the role of a hypothetical observer inside the brain who makes decisions based on the incoming spike trains. Rather than asking how a neuron responds to a given stimulus, the authors ask how the brain could make inferences about an unknown stimulus from a given neural response. The flavor of some problems faced by the organism is captured by analyzing the way in which the observer can make a running reconstruction of the sensory stimulus as it evolves in time. These ideas are illustrated by examples from experiments on several biological systems. Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by real nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory. A quantitative framework is used to pose precise questions about the structure of the neural code. These questions in turn influence both the design and analysis of experiments on sensory neurons. Nº de ref. de la librería AAU9780262681087

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Fred Rieke, David Warland, Rob de de Ruyter van Steveninck, William Bialek
Editorial: A Bradford Book (1999)
ISBN 10: 0262681080 ISBN 13: 9780262681087
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Descripción A Bradford Book, 1999. Estado de conservación: New. 1999. Reprint. Paperback. Intended for neurobiologists with an interest in mathematical analysis of neural data as well as physicists and mathematicians interested in information processing by "real" nervous systems, this text presents a review of relevant concepts in information theory and statistical decision theory. Series: Computational Neuroscience. Num Pages: 408 pages, 88. BIC Classification: MJN; PHVN; PSAN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 228 x 177 x 20. Weight in Grams: 664. . . . . . . Nº de ref. de la librería V9780262681087

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Fred Rieke
Editorial: MIT Press (1999)
ISBN 10: 0262681080 ISBN 13: 9780262681087
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Descripción MIT Press, 1999. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería BB-9780262681087

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Fred Rieke, David Warland, Rob de Ruyter Van Steveninck
Editorial: MIT Press Ltd, United States (1999)
ISBN 10: 0262681080 ISBN 13: 9780262681087
Nuevos Paperback Cantidad: 1
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The Book Depository US
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Descripción MIT Press Ltd, United States, 1999. Paperback. Estado de conservación: New. Reprint. 226 x 178 mm. Language: English . Brand New Book. Our perception of the world is driven by input from the sensory nerves. This input arrives encoded as sequences of identical spikes. Much of neural computation involves processing these spike trains. What does it mean to say that a certain set of spikes is the right answer to a computational problem? In what sense does a spike train convey information about the sensory world? Spikes begins by providing precise formulations of these and related questions about the representation of sensory signals in neural spike trains. The answers to these questions are then pursued in experiments on sensory neurons.The authors invite the reader to play the role of a hypothetical observer inside the brain who makes decisions based on the incoming spike trains. Rather than asking how a neuron responds to a given stimulus, the authors ask how the brain could make inferences about an unknown stimulus from a given neural response. The flavor of some problems faced by the organism is captured by analyzing the way in which the observer can make a running reconstruction of the sensory stimulus as it evolves in time. These ideas are illustrated by examples from experiments on several biological systems.Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by real nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory. A quantitative framework is used to pose precise questions about the structure of the neural code. These questions in turn influence both the design and analysis of experiments on sensory neurons. Nº de ref. de la librería AAU9780262681087

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Fred Rieke, David Warland, Rob de de Ruyter van Steveninck, William Bialek
Editorial: A Bradford Book
ISBN 10: 0262681080 ISBN 13: 9780262681087
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Descripción A Bradford Book. Estado de conservación: New. 1999. Reprint. Paperback. Intended for neurobiologists with an interest in mathematical analysis of neural data as well as physicists and mathematicians interested in information processing by "real" nervous systems, this text presents a review of relevant concepts in information theory and statistical decision theory. Series: Computational Neuroscience. Num Pages: 408 pages, 88. BIC Classification: MJN; PHVN; PSAN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 228 x 177 x 20. Weight in Grams: 664. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780262681087

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Fred Rieke
Editorial: MIT 1999-09-02, Cambridge, Mass. |London (1999)
ISBN 10: 0262681080 ISBN 13: 9780262681087
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Descripción MIT 1999-09-02, Cambridge, Mass. |London, 1999. paperback. Estado de conservación: New. Nº de ref. de la librería 9780262681087

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Fred Rieke,William Bialek,David Warland
Editorial: MIT Press 1999-09-02 (1999)
ISBN 10: 0262681080 ISBN 13: 9780262681087
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Descripción MIT Press 1999-09-02, 1999. Estado de conservación: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. de la librería NU-GRD-02891189

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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97802626810870000000

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Fred Rieke, David Warland, Rob De Ruyter Van Steveninck, William Bialek
Editorial: MIT Press Ltd
ISBN 10: 0262681080 ISBN 13: 9780262681087
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Descripción MIT Press Ltd. Paperback. Estado de conservación: new. BRAND NEW, Spikes: Exploring the Neural Code, Fred Rieke, David Warland, Rob De Ruyter Van Steveninck, William Bialek, Our perception of the world is driven by input from the sensory nerves. This input arrives encoded as sequences of identical spikes. Much of neural computation involves processing these spike trains. What does it mean to say that a certain set of spikes is the right answer to a computational problem? In what sense does a spike train convey information about the sensory world? Spikes begins by providing precise formulations of these and related questions about the representation of sensory signals in neural spike trains. The answers to these questions are then pursued in experiments on sensory neurons.The authors invite the reader to play the role of a hypothetical observer inside the brain who makes decisions based on the incoming spike trains. Rather than asking how a neuron responds to a given stimulus, the authors ask how the brain could make inferences about an unknown stimulus from a given neural response. The flavor of some problems faced by the organism is captured by analyzing the way in which the observer can make a running reconstruction of the sensory stimulus as it evolves in time. These ideas are illustrated by examples from experiments on several biological systems. Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by "real" nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory. A quantitative framework is used to pose precise questions about the structure of the neural code. These questions in turn influence both the design and analysis of experiments on sensory neurons. Nº de ref. de la librería B9780262681087

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Descripción Estado de conservación: New. Bookseller Inventory # ST0262681080. Nº de ref. de la librería ST0262681080

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