Computational models of conditioning
By: [edited by] Nestor Schmajuk
Publisher: Cambridge University Press
Published: 2010
Place of publication: New York
Language: eng
ISBN-13: 9780521113649
Description: "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"--
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.
Table of contents: title: Machine generated contents note: Introduction; 1. Evolution of attention in learning John K. Kruschke and Richard A. Hullinger; 2. The arguments of associations Justin A. Harris; 3. The hybrid modeling approach to conditioning Michael E. Le Pelley; 4. Within-compound associations: models and data James E. Witnauer and Ralph R. Miller; 5. Associative modulation of US processing: implications for understanding of habituation Allan R. Wagner and Edgar H. Vogel; 6. Attention, associations, and configurations in conditioning Nestor A. Schmajuk, Munir G. Kutlu, Joseph Dunsmoor and Jose; A. Larrauri; 7. Computer simulation of the cerebellum Michael D. Mauk; 8. Towards a neural-network interpretation of the operant-respondent distinction Jose; E. Burgos; Index.