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20140310143341.0 |
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319008615 |
|
978-3-319-00861-5 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.3 |
Edition number |
23 |
264 #1 - |
-- |
Heidelberg : |
-- |
Springer International Publishing : |
-- |
Imprint: Springer, |
-- |
2013. |
912 ## - |
-- |
ZDB-2-ENG |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mallot, Hanspeter A. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Computational Neuroscience |
Medium |
[electronic resource] : |
Remainder of title |
A First Course / |
Statement of responsibility, etc |
by Hanspeter A Mallot. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XII, 135 p. 62 illus. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Springer Series in Bio-/Neuroinformatics, |
International Standard Serial Number |
2193-9349 ; |
Volume number/sequential designation |
2 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Excitable Membranes and Neural Conduction -- Receptive Fields and the Specificity of Neuronal Firing -- Coding and Representation -- Fourier Analysis for Neuroscientists -- Artificial Neural Networks. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Engineering. |
|
Topical term or geographic name as entry element |
Neurosciences. |
|
Topical term or geographic name as entry element |
Physics. |
|
Topical term or geographic name as entry element |
Engineering. |
|
Topical term or geographic name as entry element |
Computational Intelligence. |
|
Topical term or geographic name as entry element |
Neurosciences. |
|
Topical term or geographic name as entry element |
Complexity. |
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 |
9783319008608 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-319-00861-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |