E-Book Overview
This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. The authors formulate the theoretical concepts clearly without many mathematical details. While the book contains standard material for courses in computational neuroscience, neural modeling, or neural networks, it also provides an entry to current research. No prior knowledge beyond undergraduate mathematics is required.
E-Book Content
Book: Spiking Neuron Models by W. Gerstner and W.M. Kistler
Spiking Neuron Models Single Neurons, Populations, Plasticity Wulfram Gerstner and Werner M. Kistler Cambridge University Press (August 2002) paperback: ISBN 0 521 89079 9 : 40 USD hardcover: ISBN 0 521 81384 0 : 90 USD Order directly from Cambridge University Press or from Amazon
If you want to browse through the book, here is the full book as html Table of Contents Preface Chapter 1: Introduction Part I: Single Neuron Models Chapter 2: Detailed Neurom Models Chapter 3: Two-Dimensional Neuron Models Chapter 4: Formal Spiking Neuron Models Chapter 5: Noise in Spiking Neuron Models http://diwww.epfl.ch/~gerstner/BUCH.html (1 of 2) [25.9.2002 7:13:48]
Book: Spiking Neuron Models by W. Gerstner and W.M. Kistler
Part II: Populations of Spiking Neurons Chapter 6: Population Equations Chapter 7: Signal Transmission and Coding Chapter 8: Oscillations and Synchrony Chapter 9: Spatially Structured Networks Part III: Models of Synaptic Plasitity Chapter 10: Hebbian Models Chapter 11: Learning Equations Chapter 12: Plasticity and Coding Bibliography and Index
http://diwww.epfl.ch/~gerstner/BUCH.html (2 of 2) [25.9.2002 7:13:48]
Preface: Spi