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. Contributors 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 Schoenauer, Terrence J. Sejnowski, John Shawe-Taylor, Max R.
van Daalen, J. Leo van Hemmen, Philippe Venier, Hermann Wagner,
Adrian M. Whatley, Anthony M. Zador
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