Neural Codes and Distributed Representations: Foundations of Neural Computation by Laurence F. AbbottNeural Codes and Distributed Representations: Foundations of Neural Computation by Laurence F. Abbott

Neural Codes and Distributed Representations: Foundations of Neural Computation

EditorLaurence F. Abbott, Terrence J. Sejnowski

Paperback | August 19, 1999

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Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years.

The present volume focuses on neural codes and representations, topics of broad interest to neuroscientists and modelers. The topics addressed are: how neurons encode information through action potential firing patterns, how populations of neurons represent information, and how individual neurons use dendritic processing and biophysical properties of synapses to decode spike trains. The papers encompass a wide range of levels of investigation, from dendrites and neurons to networks and systems.

Terrence J. Sejnowski is Francis Crick Professor, Director of the Computational Neurobiology Laboratory, and a Howard Hughes Medical Institute Investigator at the Salk Institute for Biological Studies and Professor of Biology at the University of California, San Diego.
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Title:Neural Codes and Distributed Representations: Foundations of Neural ComputationFormat:PaperbackDimensions:369 pages, 8.9 × 6 × 0.9 inPublished:August 19, 1999Publisher:The MIT PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0262511002

ISBN - 13:9780262511001

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An extensive range of papers focusing on neural codes and representations, Neural Codes and Distributed Representations discusses how neurons encode information through action potential firing patterns. It also examines how populations of neurons represent information while individual neurons use dendritic processing and biophysical properties of synapses to decode spike trains.