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Mathematics for neuroscientists / Fabrizio Gabbiani, Steven J. Cox.
Author
Gabbiani, Fabrizio
[Browse]
Format
Book
Language
English
Εdition
1st ed.
Published/Created
Amsterdam : Elsevier/Academic Press, 2010.
Description
xi, 486 p. : ill. (some col.) ; 28 cm.
Availability
Available Online
Ebook Central Perpetual, DDA and Subscription Titles
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Status
Location Service
Notes
ReCAP - Remote Storage
QP356 .G33 2010
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Details
Subject(s)
Computational neuroscience
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Computational biology
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Neurosciences
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Related name
Cox, Steven J. (Steven James), 1960-
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Bibliographic references
Includes bibliographical references (p. 473-482) and index.
Contents
Passive isopotential cell
Differential equations
Active isopotential cell
Quasi-active isopotential cell
Passive cable
Fourier series and transforms
Passive dendritic tree
Active dendritic tree
Reduced single neuron models
Probability and random variables
Synaptic transmission and quantal release
Neuronal calcium signaling
Singular value decomposition and applications
Quantification of spike train variability
Stochastic processes
Membrane noise
Power and cross spectra
Natural light signals and phototransduction
Firing rate codes and early vision
Models of simple and complex cells
Stochastic estimation theory
Reverse-correlation and spike train decoding
Signal detection theory
Relating neuronal responses and psychophysics
Population codes
Neuronal networks
Solutions to selected exercises.
Show 24 more Contents items
ISBN
9780123748829
0123748828
OCLC
441761565
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Mathematics for neuroscientists / Fabrizio Gabbiani, Steven J. Cox.
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