//]]>

Neuronal Noise (Record no. 17149)

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
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-03AUM Main Library2014-04-03 2014-04-03 E-Book   AUM Main Library612.8

Languages: 
English |
العربية