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  SPECIFICATION
SPIKING NEURON MODELS: SINGLE NEURONS, POPULATIIONS, PLASTIC
Author: WULFRAM GERSTNER
ISBN: 0521890799
Year: 2002
Publisher: CAMBRIDGE UNIVERSITY PRESS
Category: PHYSICS
Edition: 1
Format: Paperback
Language: English
Pages: 480
 ABOUT THE TITLE
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.
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 TABLE OF CONTENTS
Preface
Acknowledgments
1 Introduction 1
Pt. 1 Single neuron models 29
2 Detailed neuron models 31
3 Two-dimensional neuron models 69
4 Formal spiking neuron models 93
5 Noise in spiking neuron models 147
Pt. 2 Population models 201
6 Population equations 203
7 Signal transmission and neuronal coding 249
8 Oscillations and synchrony 285
9 Spatially structured networks 315
Pt. 3 Models of synaptic plasticity 349
10 Hebbian models 351
11 Learning equations 387
12 Plasticity and coding 421
References 455
Index 477
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