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Rating: 
Summary: Reaffirms a new era - outstanding
Review: As a psychiatrist who is concerned about reconciling psychoanalytic and neurophysiologic perspectives, this book provides a substantial foundation to this endeavor. I find the book notably helpful in teaching analytic and psychodynamic approaches to new psychiatrists. It begins to suggest a new discourse through which clinical practice may be described. I am thankful that we have this book and look forward to more work by Manfred Spitzer.
Rating:
Summary: Reaffirms a new era - outstanding
Review: As a psychiatrist who is concerned about reconciling psychoanalytic and neurophysiologic perspectives, this book provides a substantial foundation to this endeavor. I find the book notably helpful in teaching analytic and psychodynamic approaches to new psychiatrists. It begins to suggest a new discourse through which clinical practice may be described. I am thankful that we have this book and look forward to more work by Manfred Spitzer.
Rating: 
Summary: Mediocre review of Neural Networks
Review: Besides grammatical mistakes and obvious errors in translation, the book doesn't delve deep into the places it promises, and concentrates on analogies that play to the lay-est of laymen rather than focusing on the actual data and theories of neural networks. Chapters on neuroplasticity and feedback are worthwhile, but the book quickly derails onto a scene of neuroscientific generalism, which seems to be the popular fad among most brain books today, which seem to pass around the same cache of information on L-Dopa, homunculi, and Aplysia to take up a good 25% of 75% of the books in print. Good for an introduction to neural nets and semantic networks, but not a valuable reference.
Rating:
Summary: Are neural networks the basis for brain function?
Review: Even though I'm not a neuroscientist or neural computing expert, I found this book to be an excellent discussion of neural networks and how they seem to at least provide models for (and may actually be the primary mechanism of) brain function.In the book's three sections ("Basics", "Principles", and "Applications"), Spitzer's lucid writing describes neural networks, current concepts in learning, how cortical organization relates to networks, and many specific examples which describe how research is illuminating the challenging topic of how the mind works. His illustrations complement the text perfectly, he cites references as needed, he provides a glossary of the terms he uses, and his index provides quick access for review. This book has been a pleasure to read, and I hope the author updates it as research progresses.
Rating:
Summary: Excellent!
Review: I have had difficulty getting a good understanding of neural networks from other books which are heavily based in math. Everything in this book was very easy to absorb and the quality of the content puts most books to shame. The way the author connects neural network models to real life situations is excellent. This book is a must have for anyone doing anything with neural networks.
Rating:
Summary: Excellent!
Review: I have had difficulty getting a good understanding of neural networks from other books which are heavily based in math. Everything in this book was very easy to absorb and the quality of the content puts most books to shame. The way the author connects neural network models to real life situations is excellent. This book is a must have for anyone doing anything with neural networks.
Rating:
Summary: A great book about models of the brain and psychiatry
Review: This is one of those precious books I love for their clarity and density of real information. The author is a psychiatrist and a neuromimetic model enthusiast who tries to communicate his enthusiasm to the reader. There is no mistake when it is about things I know well (I am more into statistical learning than biology), even when the author simplifies the topic to make it understandable to the non-specialist. The figures also are neat and clear. A great book.
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