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

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ReCAP - Remote StorageQP356 .G33 2010 Browse related items Request

    Details

    Subject(s)
    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.
    ISBN
    • 9780123748829
    • 0123748828
    OCLC
    441761565
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