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Mathematics for neuroscientists Fabrizio Gabbiani, Steven J. Cox.

By: Contributor(s): Material type: TextLanguage: English Publication details: Amsterdam : Elsevier/Academic Press, 2010.Edition: 1st edDescription: xi, 486 p. : ill. (some col.) ; 28 cmISBN:
  • 9780123748829
  • 0123748828
Subject(s): NLM classification:
  • WL 100
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.
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Holdings
Item type Current library Collection Call number Copy number Status Barcode
Books PGIM-Academic Centre Main Library Nervous System WL 100 G 11 (Browse shelf(Opens below)) 018498 Available 018498
Books PGIM-Academic Centre Main Library Nervous System WL 100 G 11 (Browse shelf(Opens below)) 018497 Available 018497

Includes bibliographical references (p. 473-482) and index.

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.

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