Spikes: Exploring the Neural Code (Computational Neuroscience)

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

"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

From the Publisher:

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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Rieke, Fred; Bialek, William; Warland, David
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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Rieke, Fred; Bialek, William; Warland, David
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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 WM-9780262681087

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Rieke, Fred; Bialek, William; Warland, David
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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 AAH9780262681087

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Rieke, Fred; Bialek, William; Warland, David
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Descripción Mit Pr, 1999. Estado de conservación: New. Nº de ref. de la librería EA9780262681087

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Rieke, Fred; Bialek, William; Warland, David
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Descripción 1999. Paperback. Estado de conservación: NEW. 9780262681087 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE01141155

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Descripción Bradford Books, 1999. Paperback. Estado de conservación: Brand New. reprint edition. 414 pages. 9.25x6.75x0.75 inches. In Stock. Nº de ref. de la librería __0262681080

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Descripción MIT Press. Estado de conservación: New. Brand New. Nº de ref. de la librería 0262681080

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Descripción MIT University Press Group Ltd Sep 1999, 1999. Taschenbuch. Estado de conservación: Neu. 228x180x22 mm. Neuware - What does it mean to say that a certain set of spikes is the right answerto a computational problem In what sense does a spike train convey informationabout the sensory world Spikes begins by providing precise formulations of theseand related questions about the representation of sensory signals in neural spiketrains. The answers to these questions are then pursued in experiments on sensoryneurons.Intended for neurobiologists with an interest in mathematical analysis ofneural data as well as the growing number of physicists and mathematiciansinterested in information processing by 'real' nervous systems, Spikes provides aself-contained review of relevant concepts in information theory and statisticaldecision theory. Englisch. Nº de ref. de la librería 9780262681087

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Rieke, Fred; Bialek, William; Warland, David
Editorial: A Bradford Book (1999)
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Descripción A Bradford Book, 1999. Paperback. Estado de conservación: New. Nº de ref. de la librería DADAX0262681080

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Rieke, Fred; Bialek, William; Warland, David
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Descripción A Bradford Book, 1999. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0262681080

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