Stochastic Processes in the Neurosciences

Stochastic Processes in the Neurosciences
Author: Henry C. Tuckwell
Publisher: SIAM
Total Pages: 128
Release: 1989-01-01
Genre: Technology & Engineering
ISBN: 0898712327

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This monograph is centered on quantitative analysis of nerve-cell behavior. The work is foundational, with many higher order problems still remaining, especially in connection with neural networks. Thoroughly addressed topics include stochastic problems in neurobiology, and the treatment of the theory of related Markov processes.


Stochastic Processes in the Neurosciences
Language: en
Pages: 128
Authors: Henry C. Tuckwell
Categories: Technology & Engineering
Type: BOOK - Published: 1989-01-01 - Publisher: SIAM

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This monograph is centered on quantitative analysis of nerve-cell behavior. The work is foundational, with many higher order problems still remaining, especiall
Stochastic Methods in Neuroscience
Language: en
Pages: 399
Authors: Carlo Laing
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: Oxford University Press

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Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large am
Stochastic Neuron Models
Language: en
Pages: 82
Authors: Priscilla E. Greenwood
Categories: Mathematics
Type: BOOK - Published: 2016-02-02 - Publisher: Springer

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This book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This incl
Stochastic Biomathematical Models
Language: en
Pages: 216
Authors: Mostafa Bachar
Categories: Mathematics
Type: BOOK - Published: 2012-10-19 - Publisher: Springer

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Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems. In certain biological systems
Structured Dependence between Stochastic Processes
Language: en
Pages: 280
Authors: Tomasz R. Bielecki
Categories: Mathematics
Type: BOOK - Published: 2020-08-27 - Publisher: Cambridge University Press

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The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including finance, insurance, seismol