ENGLISH

Neuronal Noise

By Alain Destexhe , Michelle Rudolph-Lilith (auth.)

Book information

Publisher
Springer US
Year
2012
ISBN
0387790195, 9780387790190
DOI
10.1007/978-0-387-79020-6
Google Books ID
ZZJcWvg2HUgC
Language
english
Format
PDF
Filesize
14 MB (15065584 bytes)
Series
Springer Series in Computational Neuroscience 8
Edition
1
Pages
458\477
Orientation
yes
Scanned
no
Time added
2012-03-09 12:00:00
Neurosciences; Neurobiology

Description

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.

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