Description
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.
A neural network view of the processes involved in classical conditioning using computational simulations to analyse actual experimental data.
About the Author
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.
Reviews
"... a tour de force or at least as a richly referenced tour of the largely pre-21st-century theoretical and empirical literature of classical conditioning. One comes away with a profoundly renewed appreciation for how far the endeavor has come since its launch more than a century ago in St. Petersburg. Even if computational models are only a side interest, the comprehensive sweep of their application throughout the book offers a rigorous introduction to conditioning procedures and phenomena." Harold Miller Jr. for PsycCRITIQUES
Book Information
ISBN 9780521887809
Author Nestor Schmajuk
Format Hardback
Page Count 504
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 1130g
Dimensions(mm) 254mm * 179mm * 27mm
A neural network view of the processes involved in classical conditioning using computational simulations to analyse actual experimental data.
About the Author
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.
Reviews
"... a tour de force or at least as a richly referenced tour of the largely pre-21st-century theoretical and empirical literature of classical conditioning. One comes away with a profoundly renewed appreciation for how far the endeavor has come since its launch more than a century ago in St. Petersburg. Even if computational models are only a side interest, the comprehensive sweep of their application throughout the book offers a rigorous introduction to conditioning procedures and phenomena." Harold Miller Jr. for PsycCRITIQUES
Book Information
ISBN 9780521887809
Author Nestor Schmajuk
Format Hardback
Page Count 504
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 1130g
Dimensions(mm) 254mm * 179mm * 27mm
