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Computational Models for Neuroscience: Human Cortical Information Processing Hardcover – January 31, 2003

ISBN-13: 978-1852335939 ISBN-10: 1852335939 Edition: 2003rd

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Product Details

  • Hardcover: 299 pages
  • Publisher: Springer; 2003 edition (January 31, 2003)
  • Language: English
  • ISBN-10: 1852335939
  • ISBN-13: 978-1852335939
  • Product Dimensions: 6.1 x 0.8 x 9.2 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,942,889 in Books (See Top 100 in Books)

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10 of 16 people found the following review helpful By A Customer on March 6, 2003
Format: Hardcover
Chapter 4 of this book is the pot of gold: A concrete, detailed description of how the cerebral cortex works. Thinking relies upon an operation which could be called confabulation (in the chapter it is called concensus building). THIS IS NOT REASONING (at least in any classical sense). Yet, because the simple kind of knowledge used (antecedent support probabilities) is exhaustive, concensus building yields excellent conclusions. This cortical theory also shows why AI has failed: reasoning is too difficult and requires too much knowledge of an expensive type. Cortex gets by with a much simpler type of knowledge (which only concerns pairs of object and action attributes, not n-tuples) which, while it is needed in huge quantities, is easy to obtain. An implication of this corticl theory is that we can now proceed to develop successful AI by adopting this cortical design. The theory is illustrated by means of computer thinking experiments that yield compelling results (and which readers can replicate).
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