new book: Spiking Neuron Models

[Wulfram Gerstner]

I would like to announce a new book,

Spiking Neuron Models - Single Neurons, Populations, Plasticity

	by W. Gerstner and W. M. Kistler.

The book combines fundamentals
(Hodgkin-Huxley model, two-dimensional neuron models, etc)
with topics of current research such as
spike-time dependent plasticity, neural coding,
the role of noise, and  population density methods.
 The book should  be useful both 
for researchers interested in the theory of spiking neurons
and for graduate students (e.g., as a background text for 
courses in computational neuroscience or neural modeling).

The book is available from Cambridge Universtiy Press
	http://www.cup.org/titles/catalogue.asp?isbn=0521890799
or Amazon

http://www.amazon.com/exec/obidos/ASIN/0521890799/ref%3Ded%5Foe%5Fp/102-2490052-6800107

If you would like to browse through the book, see
	http://diwww.epfl.ch/~gerstner/BUCH.html

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 

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 


-- 
Wulfram Gerstner   	Swiss Federal Institute of Technology Lausanne
Professor 	        Laboratory of Computational Neuroscience, DI-LCN
			1015 Lausanne EPFL
Tel. +41-21-693 6713       wulfram.gerstner at epfl.ch
Fax. +41-21-693 5263       http://diwww.epfl.ch/mantra