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005 - DATE AND TIME OF LATEST TRANSACTION |
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20140310150235.0 |
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110914s2012 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781461407249 |
|
978-1-4614-0724-9 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
RC321-580 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
612.8 |
Edition number |
23 |
264 #1 - |
-- |
Boston, MA : |
-- |
Springer US, |
-- |
2012. |
912 ## - |
-- |
ZDB-2-SBL |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Rao, A. Ravishankar. |
Relator term |
editor. |
245 14 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
The Relevance of the Time Domain to Neural Network Models |
Medium |
[electronic resource] / |
Statement of responsibility, etc |
edited by A. Ravishankar Rao, Guillermo A. Cecchi. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVIII, 226 p. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Springer Series in Cognitive and Neural Systems ; |
Volume number/sequential designation |
3 |
520 ## - SUMMARY, ETC. |
Summary, etc |
A significant amount of effort in neural modeling is directed towards understanding the representation of external objects in the brain. There is also a rapidly growing interest in modeling the intrinsically-generated activity in the brain, as represented by the default mode network hypothesis, and the emergent behavior that gives rise to critical phenomena such as neural avalanches. Time plays a critical role in these intended modeling domains, from the exquisite discriminations in the mammalian auditory system to the precise timing involved in high-end activities such as competitive sports or professional music performance. The growth in experimental high-throughput neuroscience techniques has allowed the multi-scale acquisition of neural signals, from individual electrode recordings to whole-brain functional magnetic resonance imaging activity, including the ability to manipulate neural signals with optogenetic approaches. This has created a deluge of experimental data, spanning multiple spatial and temporal scales, and posing the enormous challenge of its interpretation in terms of a predictive theory of brain function. In addition, there has been a massive growth in availability of computational power through parallel computing. The Relevance of the Time Domain to Neural Network Models aims to develop a unified view of how the time domain can be effectively employed in neural network models. The book proposes that conceptual models of neural interaction are required in order to understand the data being collected. Simultaneously, these proposed models can be used to form hypotheses of neural interaction and system behavior that can be neuroscientifically tested. The book concentrates on a crucial aspect of brain modeling: the nature and functional relevance of temporal interactions in neural systems. This book will appeal to a wide audience consisting of computer scientists and electrical engineers interested in brain-like computational mechanisms, computer architects exploring the development of high-performance computing systems to support these computations, neuroscientists probing the neural code and signaling mechanisms, mathematicians and physicists interested in modeling complex biological phenomena, and graduate students in all these disciplines who are searching for challenging research questions. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Medicine. |
|
Topical term or geographic name as entry element |
Neurosciences. |
|
Topical term or geographic name as entry element |
Computer science. |
|
Topical term or geographic name as entry element |
Artificial intelligence. |
|
Topical term or geographic name as entry element |
Biomedicine. |
|
Topical term or geographic name as entry element |
Neurosciences. |
|
Topical term or geographic name as entry element |
Computation by Abstract Devices. |
|
Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Cecchi, Guillermo A. |
Relator term |
editor. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9781461407232 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-1-4614-0724-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |