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Mechanisms in Classical Conditioning: A Computational Approach

English

By (author): Nestor Schmajuk

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. See more
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A01=Nestor SchmajukAge Group_UncategorizedAuthor_Nestor Schmajukautomatic-updateCategory1=Non-FictionCategory=JMMCategory=JMRCategory=PSANCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€100 and abovePS=Activesoftlaunch
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Product Details
  • Weight: 1130g
  • Dimensions: 179 x 254mm
  • Publication Date: 14 Jan 2010
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9780521887809

About Nestor Schmajuk

Dr Schmajuk has been an Associate Professor of Biomedical Engineering in Buenos Aires (Argentina) an Assistant Professor of Psychology at Northwestern University and is presently a Professor of Psychology and Neuroscience at Duke University. Here he has developed several neural network models of classical conditioning operant conditioning animal communication creativity spatial learning cognitive mapping and prepulse inhibition. Previous books by this author include Animal Learning and Cognition: A Neural Network Approach 1997.

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