- Paperback: 336 pages
- Publisher: Wiley-Blackwell; 1 edition (April 20, 2009)
- Language: English
- ISBN-10: 1405122889
- ISBN-13: 978-1405122887
- Product Dimensions: 6.8 x 0.8 x 9.7 inches
- Shipping Weight: 1.3 pounds (View shipping rates and policies)
- Average Customer Review: 4.5 out of 5 stars See all reviews (4 customer reviews)
- Amazon Best Sellers Rank: #740,924 in Books (See Top 100 in Books)
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Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience 1st Edition
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"The book covers wide-ranging ground--indeed, it passes for a computer science or philosophy textbook in places--but it does so in a consistently lucid and engaging fashion." (CHOICE, December 2009)
"The authors provide a cogent set of ideas regarding a kind of brain functional architecture that could serve as a thought-provoking alternative to that envisioned by current dogma. If one is seriously concerned with understanding and investigating the brain and how it operates, taking the time to absorb the ideas conveyed in this book is likely to be time well spent." (PsycCRITIQUES, November 2009)
"Along with a light complement of fascinating psychological case studies of representations of space and time, and a heavy set of polemical sideswipes at neuroscientists and their hapless computational fellow travelers, this book has the simple goal of persuading us of the importance of a particular information processing mechanism that it claims does not currently occupy center stage." (Nature Neuroscience, October 2009)
"Any scientist seriously interested in how the brain does its work will find Gallistel and King's new book indispensable. It challenges modern dogma and does so in a clear and compelling manner."
–Michael Gazzaniga, University of California, Santa Barbara
"Gallistel and King present a provocative challenge to our current "standard model" of information processing in the brain. This book's ideas should be read and digested by both cognitive scientists and neuroscientists - anyone seriously interested in the biological or computational underpinnings of learning."
–Joshua B. Tenenbaum, Massachusetts Institute of Technology
"A lucid and convincing argument for a particular architecture for encoding information in the brain, based on some key notions of computational cognitive science, a significant contribution to neuroscience."
–Aravind K. Joshi, University of Pennsylvania
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Top customer reviews
It is an excellent book and in the end may warrant its subtitle, "Why Congnitive Science Will Transform Neuroscience." I highly recommend it to anyone who works in neuroscience and especially those who work in computational neuroscience.
In the end, this book underestimates its impact: if the mind essentially processes information and we do not even understand the way that information is written or stored, how can we make the grand claims to knowledge of the mind one sees all over popular science today? How much ink is everyone wasting on grandiose claims when they cannot even explain the basics?