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Mechanisms in Classical Conditioning: A Computational Approach
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Mechanisms in Classical Conditioning: A Computational Approach Hardcover - 2010 - 1st Edition

by Nestor Schmajuk


From the publisher

What mechanisms are involved in enabling us to generate predictions of what will happen in the near future? Although we use associative mechanisms as the basis to predict future events, such as using cues from our surrounding environment, timing, attentional, and configural mechanisms are also needed to improve this function. Timing mechanisms allow us to determine when those events will take place. Attentional mechanisms ensure that we keep track of cues that are present when unexpected events occur and disregard cues present when everything happens according to our expectations. Configural mechanisms make it possible to combine separate cues into one signal that predicts an event different from that predicted individually by separate cues. Written for graduates and researchers in neuroscience, computer science, biomedical engineering and psychology, the author presents neural network models that incorporate these mechanisms and shows, through computer simulations, how they explain the multiple properties of associative learning.

Details

  • Title Mechanisms in Classical Conditioning: A Computational Approach
  • Author Nestor Schmajuk
  • Binding Hardcover
  • Edition number 1st
  • Edition 1
  • Pages 504
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Date 2010-03
  • Illustrated Yes
  • ISBN 9780521887809 / 0521887801
  • Weight 2.45 lbs (1.11 kg)
  • Dimensions 9.8 x 6.9 x 1 in (24.89 x 17.53 x 2.54 cm)
  • Library of Congress subjects Neural networks (Computer science), Conditioned response - Computer simulation
  • Library of Congress Catalog Number 2009036649
  • Dewey Decimal Code 153.152
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Mechanisms in Classical Conditioning: A Computational Approach
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Mechanisms in Classical Conditioning: A Computational Approach

by Nestor A. Schmajuk

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Mechanisms in Classical Conditioning: A Computational Approach
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Mechanisms in Classical Conditioning: A Computational Approach

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Hardback. New. Written for graduates and researchers in neuroscience, computer science, biomedical engineering and psychology, the author presents a number of neural network models that incorporate associative, attentional, configural and timing mechanisms and shows, through computer simulations, how they explain the multiple properties of associative learning.
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Mechanisms in Classical Conditioning: A Computational Approach
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Mechanisms in Classical Conditioning: A Computational Approach

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Mechanisms in Classical Conditioning: A Computational Approach
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Mechanisms in Classical Conditioning: A Computational Approach

by Schmajuk, Nestor

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