Neural codes and distributed representations : foundations of neural computation / edited by Laurence Abbott and Terrence J. Sejnowski.
1999
QP363.3 .N4755 1999eb
Linked e-resources
Linked Resource
Details
Title
Neural codes and distributed representations : foundations of neural computation / edited by Laurence Abbott and Terrence J. Sejnowski.
ISBN
9780262287562 (electronic bk.)
0262287560 (electronic bk.)
0585108994 (electronic bk.)
9780585108995 (electronic bk.)
9780262511001
0262511002
0262511002 (pbk. ; alk. paper)
0262287560 (electronic bk.)
0585108994 (electronic bk.)
9780585108995 (electronic bk.)
9780262511001
0262511002
0262511002 (pbk. ; alk. paper)
Publication Details
Cambridge, Mass. : MIT Press, ©1999.
Copyright
©1999
Language
English
Description
1 online resource (xxiii, 345 pages) : illustrations.
Call Number
QP363.3 .N4755 1999eb
Dewey Decimal Classification
612.8/2
Summary
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations 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.
Note
"A Bradford book."
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations 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.
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations 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.
Access Note
Access limited to authorized users.
Source of Description
OCLC-licensed vendor bibliographic record.
Record Appears in