The bulletin of mathematical biophysics

, Volume 27, Supplement 1, pp 317–328 | Cite as

A neural net model for escape learning

  • H. D. Landahl
Article

Abstract

An escape learning situation is discussed in terms of a neural model in which a stimulus can result in a conditioned excitement and a specific conditioned response. By using the simplest relations between the strengths of conditioning and the number of reinforcements and by introducing a distribution of fluctuations occurring regularly in time, one can calculate the probabilities of various responses, as well as the various latencies, in successive trials. The results are in moderately satisfactory agreement with the data of R. L. Solomon and L. C. Wynne (Psychol. Monogr.,67, No. 4, 1953). Consequences of the model for various experimental situations are discussed.

Keywords

Unconditioned Stimulus Random Fluctuation Escape Response Warning Stimulus Escape Probability 

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Literature

  1. Brush, F. R., E. S. Brush, and R. L. Solomon. 1955. “Traumatic Avoidance Learning: The Effect of CS-US Interval with a Delayed-Conditioning Procedure.”Jour. Comp. Physiol. Psychol.,48, 285–293.CrossRefGoogle Scholar
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Copyright information

© N. Rashevsky 1965

Authors and Affiliations

  • H. D. Landahl
    • 1
  1. 1.Committee on Mathematical BiologyThe University of ChicagoChicagoUSA

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