Format:
Online-Ressource (1 online resource (284 p.))
,
digital, PDF file(s).
Edition:
Online-Ausg.
ISBN:
9780511760402
Content:
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 provide the latest advancements in the field and present detailed descriptions of how the models simulate conditioned behaviour and its physiological bases. It offers advanced students and researchers examples of how the models are used to analyse existing experimental results and 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 behaviour
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
,
1. Evolution of attention in learning
,
2. The arguments of associations
,
3. The hybrid modeling approach to conditioning
,
4. Within-compound associations: models and data
,
5. Associative modulation of US processing: implications for understanding of habituation
,
6. Attention, associations, and configurations in conditioning
,
7. Computer simulation of the cerebellum
Additional Edition:
ISBN 9780521113649
Additional Edition:
Erscheint auch als Druck-Ausgabe Computational models of conditioning Cambridge [u.a.] : Cambridge University Press, 2010 ISBN 9780521113649
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780521113649
Language:
English
Keywords:
Konditionierung
;
Computersimulation
DOI:
10.1017/CBO9780511760402
URL:
Volltext
(lizenzpflichtig)
