000 -LEADER |
fixed length control field |
02518nam a22004335i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310150232.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
120105s2012 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780387790206 |
|
978-0-387-79020-6 |
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 |
Destexhe, Alain. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Neuronal Noise |
Medium |
[electronic resource] / |
Statement of responsibility, etc |
by Alain Destexhe, Michelle Rudolph-Lilith. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVIII, 458 p. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Springer Series in Computational Neuroscience ; |
Volume number/sequential designation |
8 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
1 Introduction -- 2 Basics -- 3 Synaptic noise -- 4 Models of synaptic noise -- 5 Integrative properties in the presence of noise6 Recreating synaptic noise using dynamic-clamp -- 7 The mathematics of synaptic noise -- 8 Analyzing synaptic noise -- 9 Case studies -- 10 Conclusions and perspectives A Numerical integration of stochastic differential equations -- B Distributed Generator Algorithm -- C The Fokker-Planck formalism -- D The RT-NEURON interface for dynamic-clamp -- References -- Index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations. The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise. It provides students and young researchers with an overview of the important methods and concepts that have emerged from research in this area. It also provides the specialist with a summary of the large body of sometimes contrasting experimental data, and different theories proposed to explore the computational power that various forms of "noise" can confer to neurons. |
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 |
Neurobiology. |
|
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 |
Neurobiology. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Rudolph-Lilith, Michelle. |
Relator term |
author. |
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 |
9780387790190 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-0-387-79020-6 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |