Stochastic Models for Spike Trains of Single Neurons (Paperback, Softcover reprint of the original 1st ed. 1977)

1 Some basic neurophysiology 4 The neuron 1. 1 4 1. 1. 1 The axon 7 1. 1. 2 The synapse 9 12 1. 1. 3 The soma 1. 1. 4 The dendrites 13 13 1. 2 Types of neurons 2 Signals in the nervous system 14 2. 1 Action potentials as point events - point processes in the nervous system 15 18 2. 2 Spontaneous activi~ in neurons 3 Stochastic modelling of single neuron spike trains 19 3. 1 Characteristics of a neuron spike train 19 3. 2 The mathematical neuron 23 4 Superposition models 26 4. 1 superposition of renewal processes 26 4. 2 Superposition of stationary point processe- limiting behaviour 34 4. 2. 1 Palm functions 35 4. 2. 2 Asymptotic behaviour of n stationary point processes superposed 36 4. 3 Superposition models of neuron spike trains 37 4. 3. 1 Model 4. 1 39 4. 3. 2 Model 4. 2 - A superposition model with 40 two input channels 40 4. 3. 3 Model 4. 3 4. 4 Discussion 41 43 5 Deletion models 5. 1 Deletion models with 1nd~endent interaction of excitatory and inhibitory sequences 44 VI 5. 1. 1 Model 5. 1 The basic deletion model 45 5. 1. 2 Higher-order properties of the sequence of r-events 55 5. 1. 3 Extended version of Model 5. 1 - Model 60 5. 2 5. 2 Models with dependent interaction of excitatory and inhibitory sequences - MOdels 5. 3 and 5.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Biomathematics, 16
Release date:	August 1977
First published:	1977
Authors:	S.K. Srinivasan • Gopalan Sampath
Dimensions:	244 x 170 x 11mm (L x W x T)
Format:	Paperback
Pages:	190
Edition:	Softcover reprint of the original 1st ed. 1977
ISBN-13:	978-3-540-08257-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	3-540-08257-3
Barcode:	9783540082576

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