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This book introduces two recent developments in neural network methodology, namely recurrency in the architecture and the use of spiking or integrate-and-fire neurons. The neuro-anatomical processes of synapse modification during development, training, and memory formation are discussed as realistic bases for weight-adjustment in neural networks. Early chapters lay a foundation for the application of neural networks as models for the various biological phenomena that are treated in later chapters, detailing various neural network models of sensory and motor control tasks. Mastebroek teaches in the Department of Neurobiophysics and Biomedical Engineering at the University of Groningen, The Netherlands. Vos teaches developmental neurology at the same institution. Annotation c. Book News, Inc., Portland, OR (booknews.com) |
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