Theoretical note: simulating latent inhibition with selection neural networks

Author:

Burgos José E

Publisher

Elsevier BV

Subject

Behavioral Neuroscience,Animal Science and Zoology,General Medicine

Reference18 articles.

1. Some parameters of latent inhibition;Ayres;Learn. Motiv.,1992

2. Burgos, J., 1997. Evolving artificial neural networks in Pavlovian environments. In: Donahoe, J.W., Packard-Dorsel, V. (Eds.), Neural Network Models of Cognition. Elsevier, Amsterdam, pp. 58–79.

3. Superstition in artificial neural networks: a case study for selectionist approaches to reinforcement;Burgos;Mex. J. Behav. Anal.,2000

4. Burgos, J.E., Donahoe, J.W., 2000. Structure and function in selectionism: implications for complex behavior. In: Leslie, J., Blackman, D. (Eds.), Issues in Experimental and Applied Analyses of Human Behavior. Context Press, Reno, pp. 39–57.

5. Timing without a timer;Donahoe;J. Exp. Anal. Behav.,1999

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