Neuronal Dynamics

Neuronal Dynamics
Author :
Publisher : Cambridge University Press
Total Pages : 591
Release :
ISBN-10 : 9781107060838
ISBN-13 : 1107060834
Rating : 4/5 (834 Downloads)

Book Synopsis Neuronal Dynamics by : Wulfram Gerstner

Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.


Neuronal Dynamics Related Books

Neuronal Dynamics
Language: en
Pages: 591
Authors: Wulfram Gerstner
Categories: Computers
Type: BOOK - Published: 2014-07-24 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Cellular Dynamics of the Neuron
Language: en
Pages: 398
Authors: Samuel H. Barondes
Categories: Science
Type: BOOK - Published: 2014-05-10 - Publisher: Academic Press

DOWNLOAD EBOOK

Cellular Dynamics of the Neuron covers advances in the study of the cellular dynamics of the neuron. The book discusses the synthesis and transport of the neuro
Molecular Biology of the Cell
Language: en
Pages: 0
Authors:
Categories: Cells
Type: BOOK - Published: 2002 - Publisher:

DOWNLOAD EBOOK

The Dynamic Neuron
Language: en
Pages: 174
Authors: John Smythies
Categories: Medical
Type: BOOK - Published: 2002-05-17 - Publisher: MIT Press

DOWNLOAD EBOOK

A comprehensive review of current research on synaptic plasticity. The traditional model of synapses as fixed structures has been replaced by a dynamic one in w
Single Neuron Computation
Language: en
Pages: 663
Authors: Thomas M. McKenna
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Academic Press

DOWNLOAD EBOOK

This book contains twenty-two original contributions that provide a comprehensive overview of computational approaches to understanding a single neuron structur