Pulsed Neural Networks

Pulsed Neural Networks

by Wolfgang Maass
     
 

In recent years, data from neurobiological experiments have made it increasingly clear that biological neural networks, which communicate through pulses, use the timing of the pulses to transmit information and perform computation. This realization has stimulated significant research on pulsed neural networks, including theoretical analyses and model

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Overview

In recent years, data from neurobiological experiments have made it increasingly clear that biological neural networks, which communicate through pulses, use the timing of the pulses to transmit information and perform computation. This realization has stimulated significant research on pulsed neural networks, including theoretical analyses and model development,
neurobiological modeling, and hardware implementation.

This book presents the complete spectrum of current research in pulsed neural networks and includes the most important work from many of the key scientists in the field. The first half of the book consists of longer tutorial articles spanning neurobiology, theory, algorithms, and hardware. The second half contains a larger number of shorter research chapters that present more advanced concepts. The contributors use consistent notation and terminology throughout the book.

The MIT Press

Product Details

ISBN-13:
9780262632218
Publisher:
MIT Press
Publication date:
03/01/2001
Series:
Bradford Books Series
Edition description:
New Edition
Pages:
377
Product dimensions:
7.00(w) x 10.00(h) x 0.90(d)
Age Range:
18 Years

Table of Contents

Foreword
Preface
Contributors to the book
Basic Concepts and Models1
1Spiking Neurons3
2Computing with Spiking Neurons55
3Pulse-Based Computation in VLSI Neural Networks87
4Encoding Information in Neuronal Activity111
Implementations133
5Building Silicon Nervous Systems with Dendritic Tree Neuromorphs135
6A Pulse-Coded Communications Infrastructure157
7Analog VLSI Pulsed Networks for Perceptive Processing179
8Preprocessing for Pulsed Neural VLSI Systems217
9Digital Simulation of Spiking Neural Networks237
Design and Analysis of Pulsed Neural Systems259
10Populations of Spiking Neurons261
11Collective Excitation Phenomena and Their Applications297
12Computing and Learning with Dynamic Synapses321
13Stochastic Bit-Stream Neural Networks337
14Hebbian Learning of Pulse Timing in the Barn Owl Auditory System353

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