National Science Library of Georgia

Image from Google Jackets

Introduction to theoretical neurobiology. Volume 2, Nonlinear and stochastic theories / Henry C. Tuckwell.

By: Material type: TextTextSeries: Cambridge studies in mathematical biology ; 8.Publisher: Cambridge : Cambridge University Press, 1988Description: 1 online resource (xi, 265 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511623202 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 599/.0188 19
LOC classification:
  • QP361 .T76 1988
Online resources: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

There are no comments on this title.

to post a comment.
Copyright © 2023 Sciencelib.ge All rights reserved.