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The bulletin of mathematical biophysics

, Volume 26, Issue 1, pp 83–89 | Cite as

An avoidance learning situation. A neural net model

  • H. D. Landahl
Article

Abstract

A simple avoidance situation is considered in terms of a neural net learning model. Data for the control situation can be represented by an expression having three parameters which determine the initial and the steady state activities together with the transient aspects. The introduction of a learning parameter then allows one to calculate satisfactorily the results obtained in the experimental situation in which shock is applied.

Keywords

Experimental Situation Biophysics Volume Learning Parameter Control Situation Mathematical Biophysics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Literature

  1. Brady, J. P., and C. Marmasse. 1962. “Analysis of a Simple Avoidance Situation.”Psychological Record,12, 361–365.Google Scholar
  2. Landahl, H. D. 1941. “Mathematical Biophysics of Discrimination of Conditioning I.”Bull. Math. Biophysics,3, 13–26.Google Scholar
  3. — 1941. “Mathematical Biophysics of Discrimination of Conditioning II: Special Case: Errors, Trials, and Number of Possible Responses.”Bull. Math. Biophysics,3, 71–77.Google Scholar
  4. — 1943. “Mathematical Biophysics of Discrimination and Conditioning III.”Bull. Math. Biophysics,5, 103–110.MathSciNetGoogle Scholar
  5. Marmasse, C., and J. P. Brady. 1963. “Analysis of a Simple Avoidance Situation. II. A Model.”Bull. Math. Biophysics,26, 77.Google Scholar

Copyright information

© University of Chicago Press 1964

Authors and Affiliations

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

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