Traditional neural network computing uses continuous propagation of its signals, whereas biological networks use signal timing and frequency in their transmission and computation. Pulsed Neural Networks arose out of a two-day workshop at the Isaac Newton Institute for Mathematical Studies at Cambridge, and provides a broad overview of the comparatively recent developments in building and working with these machines. A compelling foreword by Terrence J. Sejnowski explains the basics. Several tutorial chapters covering biological and electronic pulsed computing follow. The rest of the book is divided into two parts: "Implementations" and "Design and Analysis of Pulsed Neural Systems." Useful for neuroscientists, engineers, and, of course, computer scientists, Pulsed Neural Networks requires a certain familiarity with traditional neural networks and demands a willingness to probe neurobiological theory. However, this text rewards readers for their hard work with a much more powerful and robust approach to the problems of neural computing. --Rob Lightner