NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Modeling the behavioral substrates of associate learning and memory - Adaptive neural modelsThree adaptive single-neuron models based on neural analogies of behavior modification episodes are proposed, which attempt to bridge the gap between psychology and neurophysiology. The proposed models capture the predictive nature of Pavlovian conditioning, which is essential to the theory of adaptive/learning systems. The models learn to anticipate the occurrence of a conditioned response before the presence of a reinforcing stimulus when training is complete. Furthermore, each model can find the most nonredundant and earliest predictor of reinforcement. The behavior of the models accounts for several aspects of basic animal learning phenomena in Pavlovian conditioning beyond previous related models. Computer simulations show how well the models fit empirical data from various animal learning paradigms.
Document ID
19920029705
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Lee, Chuen-Chien (California, University Berkeley, United States)
Date Acquired
August 15, 2013
Publication Date
June 1, 1991
Publication Information
Publication: IEEE Transactions on Systems, Man, and Cybernetics
Volume: 21
ISSN: 0018-9472
Subject Category
CYBERNETICS
Funding Number(s)
CONTRACT_GRANT: NCC2-275
Distribution Limits
Public
Copyright
Other