Brain, Vol. 122, No. 12, 2413-2416,
December 1999
© 1999 Oxford University Press
Book reviews |
FUNDAMENTALS OF NEURAL NETWORK MODELING: NEUROPSYCHOLOGY AND COGNITIVE NEUROSCIENCE.
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Physiology Unit, School of Biosciences, University of Wales, Cardiff, UK
Attempts to model human mental activity have sometimes involved abstract information-processing schema. Alternatively, the structural features of brain regions believed to be associated with neuropsychological test performance have been considered without an appreciation of the contributions of multiple brain areas. This book emphasizes the shift towards the development of models of cognitive processes which are better-founded in an understanding of neural circuitry. The volume is the twelfth in a series in Computational Neuroscience, which began with Methods in Neuronal Modeling: From Synapses to Networks (1989), edited by Christof Koch and Idan Segev. Computer simulations of neurons and neural networks are now properly regarded as complementary to traditional techniques in neuroscience. Although some of the first applications were to industrial problems in the area of pattern recognition or signal processing, their potential for improving understanding of brain and cognitive processes soon became clear. In the 1990s, substantial improvements in computer architecture,
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