Amazon.com Review
Is your brain like your computer? Well, (hopefully) it doesn't crash as often, and that's just one of many on the long list of differences. But psychiatrist Manfred Spitzer says neuroscientists have much to learn from the alternative computing architectures called neural nets. His book
The Mind Within the Net is a look at biological and electronic networks, their similarities, and what each can tell us about the other, with a particular emphasis on his own field. We've known for decades how individual neurons work. It's taken recent advances in neural computing to help us learn how brain systems might take advantage of their unique dynamics to help us see, walk, and keep the trains running on time.
Covering the basics of both neuroscience and neural computing with a user-friendly, but not oversimplified, prose style, Spitzer then moves on to the often striking similarities in function between simple electronic networks and mechanisms within the brain. Keeping in mind the importance of recognizing models as such, he takes pains to point out that there are some aspects of computing for which there is little comparison to biological systems. However, the similarities between different network degradations and such diverse problems as Alzheimer's disease, schizophrenia, and depression are compelling and potentially important. It's not often that we get a new batch of metaphors to help us understand ourselves; this may be the paradigm shift we've been waiting for. --Rob Lightner
From Publishers Weekly
In neural network theory, scientists use computers and mathematics to model complex brain functions. Here, Spitzer, professor and chairman of the Psychiatric Hospital of the University of Ulm, Germany, offers lay readers an accessible introduction to the workings of that theory. His goal is not to reduce faculties of higher intelligence, behavior and emotion to the mechanistic. Rather, he hopes to further our understanding of the elaborate, elegant connections between the physical and the cerebral, with an eye toward practical benefits for humanity. Spitzer begins with basics, explaining what neurons are and how they work through electrochemical impulses. He moves on to distinctions between the organic minds of humans and the artificial intelligence of computers. Although computer models of neural networks are valuable tools in comprehending brain mechanics, Spitzer is careful to keep visible the differences between human and machine. And results from the latest experiments in brain chemistry and neural linkages, he reports, contradict some cherished hypotheses on learning and behavior. He explains, for instance, how recent work in the field gainsays widely held linguistic theories concerning deep-seated universal capacities for language. He also explores the relationship of experience to learning and behavior, challenging some contemporary epistemological assertions. Easy-to-follow diagrams and a practical glossary will help readers with limited knowledge of this intriguing yet esoteric realm. Illustrations throughout.
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