Mathematics for neuroscientists

Gabbiani, Fabrizio.

Mathematics for neuroscientists Fabrizio Gabbiani, Steven J. Cox. - Boston : Academic Press, ©2010. - x, 486 p. : ill. (some col.) ; 28 cm.

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.

9780123748829


Computational Biology--methods.
Models, Neurological.
Nerve Net.
Neurons--physiology.
Neurosciences--methods.
Synaptic Transmission.

QP356

612.8 / GAB-M
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