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"Since first described, multiple properties of classical conditioning have been discovered, establishing the need for mathematical models to help explain the defining features. The mathematical complexity of the models puts our understanding of their workings beyond the ability of our intuitive thinking and makes computer simulations irreplaceable. The complexity of the models frequently results in function redundancy; a natural property of biologically evolved systems that is much desired in technologically designed products. Experts in the field provide the latest advancements and present detailed descriptions of how the models simulate conditioned behavior and its physiological bases, offering advanced students and researchers examples of how the models are used to analyze existing experimental results and to design future experiments. This volume is of great interest to psychologists and neuroscientists, as well as computer scientists and engineers searching for ideas applicable to the design of robots that mimic animal behavior"--
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Previews available in: English
Subjects
Eyelid conditioning, Cognition, Paired-association learning, Congresses, Conditioned response, Mathematical models, Psychological Conditioning, Association Learning, Neurological Models, Apprentissage de paires associées, Congrès, Conditionnement palpébral, Réflexe conditionné, PSYCHOLOGY, Cognitive PsychologyEdition | Availability |
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Computational models of conditioning
2010, Cambridge University Press
in English
0521113644 9780521113649
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Book Details
Edition Notes
"This book contains the presentations given during the Duke Symposium on Computational Models of Conditioning, which took place between May 15th and May 17th of 2009 at the Duke Campus in Durham, N.C."--Introd.
Includes bibliographical references and index.
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