Introduction to theoretical neurobiology : nonlinear and stochastic theories

By:

Tuckwell, Henry C

Material type: Text

TextSeries: cambridge studies in mathematical biology 08Publication details: Cambridge Cambridge University Press 1988Description: xi, 265pISBN:

9780521019323 (pbk.)

Subject(s):

DDC classification:

599.0188 TUC

Summary: The second part of this two-volume set contains advanced aspects of the quantitative theory of the dynamics of neurons. It begins with an introduction to the effects of reversal potentials on response to synaptic input. It then develops the theory of action potential generation based on the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and non-spaceclamped cases. The remainder of the book discusses stochastic models of neural activity and ends with a statistical analysis of neuronal data with emphasis on spike trains. The mathematics is more complex in this volume than in the first volume and involves numerical methods of solution of partial differential equations and the statistical analysis of point processes.

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Holdings
Item type	Current library	Collection	Call number	Vol info	Status	Date due	Barcode
Book	Plaksha University Library	Biology	599.0188 TUC (Browse shelf(Opens below))	Volume ll	Available		003739

https://www.cambridge.org/us/academic/subjects/mathematics/mathematical-biology/introduction-theoretical-neurobiology-volume-2?format=PB

The second part of this two-volume set contains advanced aspects of the quantitative theory of the dynamics of neurons. It begins with an introduction to the effects of reversal potentials on response to synaptic input. It then develops the theory of action potential generation based on the seminal Hodgkin-Huxley equations and gives methods for their solution in the space-clamped and non-spaceclamped cases. The remainder of the book discusses stochastic models of neural activity and ends with a statistical analysis of neuronal data with emphasis on spike trains. The mathematics is more complex in this volume than in the first volume and involves numerical methods of solution of partial differential equations and the statistical analysis of point processes.

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