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Mathematics for neuroscientists /

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Bibliographic Details
Main Authors:	Gabbiani, Fabrizio (Author), Cox, Steven J. (Steven James), 1960- (Author)
Format:	eBook
Language:	English
Published:	Amsterdam : Elsevier/Academic Press, [2017]
Edition:	Second edition.
Subjects:	Computational neuroscience. Computational biology. Neurosciences. Computational Biology > methods. Models, Neurological. Nerve Net. Neurons > physiology. Neurosciences > methods. Synaptic Transmission. Ebooks. Electronic books.
Online Access:	Connect to the full text of this electronic book.

Table of Contents:

Introduction
The passive isopotential cell
Differential equations
The active isopotential cell
The quasi-active isopotential cell
The passive cable
Fourier series and transforms
The passive dendritic tree
The active dendritic tree
Extracellular potential
Reduced single neuron models
Probability and random variables
Synaptic transmission and quantal release
Neuronal calcium signaling
Neurovascular coupling, the BOLD signal and MRI
The 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
Models of motion detection
Stochastic estimation theory
Reverse-correlation and spike train decoding
Signal detection theory
Relating neuronal responses and psychophysics
Population codes
Neuronal networks
Solutions to exercises.