Computational models of conditioning - Info and Reading Options
By Nestor A. Schmajuk
"Computational models of conditioning" was published by Cambridge University Press in 2010 - New York and the language of the book is English.
“Computational models of conditioning” Metadata:
- Title: ➤ Computational models of conditioning
- Author: Nestor A. Schmajuk
- Language: English
- Publisher: Cambridge University Press
- Publish Date: 2010
- Publish Location: New York
“Computational models of conditioning” Subjects and Themes:
- 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 Psychology
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL24553933M - OL15603376W
- Online Computer Library Center (OCLC) ID: 702112779
- Library of Congress Control Number (LCCN): 2010022337
- ISBN-13: 9780521113649
- All ISBNs: 9780521113649
AI-generated Review of “Computational models of conditioning”:
"Computational models of conditioning" Table Of Contents:
- 1- 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.
"Computational models of conditioning" Description:
The Open Library:
"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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