Stochastic Models for Spike Trains of Single Neurons (Lecture Notes in Biomathematics)

G. Sampath S. K. Srinivasan

ISBN 10: 3540082573 / ISBN 13: 9783540082576

Edité par Springer Berlin Heidelberg 1977-01-01, 1977

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N° de réf. du vendeur 6666-IUK-9783540082576

Détails bibliographiques

• Titre: Stochastic Models for Spike Trains of Single Neurons (Lecture Notes in Biomathematics)
• Éditeur: Springer Berlin Heidelberg 1977-01-01
• Date de parution: 1977
• Langue: anglais
• ISBN à 10 chiffres: 3540082573
• ISBN à 13 chiffres: 9783540082576
• Reliure: Paperback
• État de l'article: New

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Synopsis

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.