Mathematics for neuroscientists / Fabrizio Gabbiani, Steven J. Cox.

Author/creator Gabbiani, Fabrizio
Other author Cox, Steven J. (Steven James), 1960-
Format Book
Edition1st ed.
Publication InfoAmsterdam ; Boston : Elsevier Academic Press, 2010.
Descriptionxi, 486 pages : illustrations (some color) ; 28 cm
Subjects
Computational Biology--methods.
Models, Neurological.
Nerve Net.
Neurons--physiology.
Neurosciences--methods.
Synaptic Transmission.
Computational neuroscience.
Computational biology.
Neurosciences.

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.
Local noteLaupus-WCP
Bibliography noteIncludes bibliographical references (p. 473-482) and index.
ISBN0123748828
ISBN9780123748829