Paperback | $42.00 Short | £28.95 | ISBN: 9780262632218 | 377 pp. | 7 x 10 in | January 2001
Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. 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. Terrence J. Sejnowski's foreword, "Neural Pulse Coding," presents an overview of the topic. 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.
Peter S. Burge, Stephen R. Deiss, Rodney J. Douglas, John G. Elias, Wulfram Gerstner, Alister Hamilton, David Horn, Axel Jahnke, Richard Kempter, Wolfgang Maass, Alessandro Mortara, Alan F. Murray, David P. M. Northmore, Irit Opher, Kostas A. Papathanasiou, Michael Recce, Barry J. P. Rising, Ulrich Roth, Tim Schönauer, Terrence J. Sejnowski, John Shawe-Taylor, Max R. van Daalen, J. Leo van Hemmen, Philippe Venier, Hermann Wagner, Adrian M. Whatley, Anthony M. Zador.
About the Editors
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.
"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 Llins, Department of Physiology and Neuroscience, New York University Medical School