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by Manfred Spitzer
Download The Mind within the Net: Models of Learning, Thinking, and Acting fb2
Medicine
  • Author:
    Manfred Spitzer
  • ISBN:
    0262194066
  • ISBN13:
    978-0262194068
  • Genre:
  • Publisher:
    The MIT Press; 1st edition (March 12, 1999)
  • Pages:
    359 pages
  • Subcategory:
    Medicine
  • Language:
  • FB2 format
    1102 kb
  • ePUB format
    1700 kb
  • DJVU format
    1580 kb
  • Rating:
    4.4
  • Votes:
    490
  • Formats:
    lrf mobi lrf docx


What can go wrong in perception, thinking, learning, and acting? Scientists now use computer models to help us. .In this highly readable book, Spitzer provides a basic, nonmathematical introduction to neural networks and their clinical applications

What can go wrong in perception, thinking, learning, and acting? Scientists now use computer models to help us to understand the most private and human experiences. In this highly readable book, Spitzer provides a basic, nonmathematical introduction to neural networks and their clinical applications. Part I explains the fundamental theory of neural networks and how neural network models work.

Impressively, this book managed to blow my mind every few pages! Spitzer masterfully explains neural network concepts in easily . I am thankful that we have this book and look forward to more work by Manfred Spitzer. 2 people found this helpful.

Impressively, this book managed to blow my mind every few pages! Spitzer masterfully explains neural network concepts in easily understandable ways by relating them to our brain and the typical human occurrences. He then shows why and how neural networks can be used to explain human behavior, while at the same time manages to offer new perspectives.

Scientists now use computer models to help us to understand the most private and human experiences

Scientists now use computer models to help us to understand the most private and human experiences. Neurophysiology has told us a lot about how neurons work; neural network theory is about how neurons work together to process information.

The book falls short in some respects, and some sections are more compelling and novel than others.

John Searle distinguished between weak and strong artificial intelligence (AI)  . On the argument advanced here only a machine could think, and only very special kinds of machines, namely brains and machines with? ??h) ?0 0 0 ?? ?? internal causal powers equivalent to those of brains. The book falls short in some respects, and some sections are more compelling and novel than others.

Neurophysiology has told us a lot about how neurons work; neural network theory is about how neurons work together to process information.

What can go wrong in perception, thinking, learning, and acting? Scientists now use computer models to help us to understand the most private and human experiences.

1980), 'Minds, brains, and programs', Behavioral and Brain Sciences 3, pp. 417–424. 1950), 'Computing machinery and intelligence', Mind 59, pp. 433–460. 1023/A:1017538910445.

Of all published articles, the following were the most read within the past 12 months. Rethinking the Theoretical Foundation of Sociobiology.

With the unravelling of the human genome, there are few great scientific challenges except, perhaps, understanding the origin of the universe and consciousness. This new book seeks to provide a greater insight into the workings of the mind through neural networks (for once, the net in the title does not refer to the internet). Neural models may help u. iew Full Text.

How does the brain work? How do billions of neurons bring about ideas, sensations, emotions, and actions? Why do children learn faster than elderly people? What can go wrong in perception, thinking, learning, and acting? Scientists now use computer models to help us to understand the most private and human experiences. In The Mind Within the Net, Manfred Spitzer shows how these models can fundamentally change how we think about learning, creativity, thinking, and acting, as well as such matters as schools, retirement homes, politics, and mental disorders. Neurophysiology has told us a lot about how neurons work; neural network theory is about how neurons work together to process information. In this highly readable book, Spitzer provides a basic, nonmathematical introduction to neural networks and their clinical applications. Part I explains the fundamental theory of neural networks and how neural network models work. Part II covers the principles of network functioning and how computer simulations of neural networks have profound consequences for our understanding of how the brain works. Part III covers applications of network models (e.g., to knowledge representation, language, and mental disorders such as schizophrenia and Alzheimer's disease) that shed new light on normal and abnormal states of mind. Finally, Spitzer concludes with his thoughts on the ramifications of neural networks for the understanding of neuropsychology and human nature.

Defolosk
Impressively, this book managed to blow my mind every few pages! Spitzer masterfully explains neural network concepts in easily understandable ways by relating them to our brain and the typical human occurrences. He then shows why and how neural networks can be used to explain human behavior, while at the same time manages to offer new perspectives.

The contents of this book is engaging and extremely relevant to programmers, neuroscientists, linguists, therapists, psychologists and honestly anyone who is curious.
Ndlaitha
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.
SadLendy
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.
Kadar
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.
Leceri
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.