Introduction to theoretical neurobiology: volume 2, nonlinear and stochastic theories

By:

Tuckwell, Henry C

Material type: Text

TextPublication details: Cambridge Cambridge University Press 1988Description: xi, 265p. pbkISBN:

9780521352178

Subject(s):

DDC classification:

559.0188 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-space-clamped 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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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Biology	559.0188 TUC (Browse shelf(Opens below))	Available		005162

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	523.6 ASI Extraterrestrial and eclipses	551.9 HOU Laboratory handbook for the fractionation of natural extracts	559.0188 TUC Introduction to theoretical neurobiology: volume 2, nonlinear and stochastic theories	570 BAR CRISPR: biology and applications	570 CAM Biology : a global approach	570 CAM Biology : a global approach	Next

https://www.cambridge.org/in/universitypress/subjects/mathematics/mathematical-biology/introduction-theoretical-neurobiology-volume-2?format=HB&isbn=9780521352178

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-space-clamped 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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