Pulsed Neural Networks

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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

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What People Are Saying

From the Publisher
" Pulsed Neural Networks is a welcome new breeze in the field ofneuronal modeling. At last, the central issue of timing in neuronalnetwork function is treated in its full depth—a must for anyoneseriously interested in CNS function." Rodolfo Llinás,Department of Physiology and Neuroscience, New York University Medical School
Rodolfo Llinás

Pulsed Neural Networks is a welcome new breeze in the field of neuronal modeling. At last, the central issue of timing in neuronal network function is treated in its full depth -- a must for anyone seriously interested in
CNS function.

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Product Details

  • ISBN-13: 9780262632218
  • Publisher: MIT Press
  • Publication date: 3/1/2001
  • Series: Bradford Books Series
  • Edition description: New Edition
  • Pages: 377
  • Product dimensions: 7.00 (w) x 10.00 (h) x 0.90 (d)

Meet the Author

Wolfgang Maass is Professor at the Institute for Theoretical ComputerScience,
Technische Universität Graz.

Christopher M. Bishop isAssistant Director at Microsoft Research, Cambridge, and
Professor ofComputer Science at the University of Edinburgh.

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Table of Contents

Contributors to the book
Basic Concepts and Models 1
1 Spiking Neurons 3
2 Computing with Spiking Neurons 55
3 Pulse-Based Computation in VLSI Neural Networks 87
4 Encoding Information in Neuronal Activity 111
Implementations 133
5 Building Silicon Nervous Systems with Dendritic Tree Neuromorphs 135
6 A Pulse-Coded Communications Infrastructure 157
7 Analog VLSI Pulsed Networks for Perceptive Processing 179
8 Preprocessing for Pulsed Neural VLSI Systems 217
9 Digital Simulation of Spiking Neural Networks 237
Design and Analysis of Pulsed Neural Systems 259
10 Populations of Spiking Neurons 261
11 Collective Excitation Phenomena and Their Applications 297
12 Computing and Learning with Dynamic Synapses 321
13 Stochastic Bit-Stream Neural Networks 337
14 Hebbian Learning of Pulse Timing in the Barn Owl Auditory System 353
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