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Adaptive Pattern Classification and Universal Recoding I: Parallel Development and Coding of Neural Feature Detectors

  • Stephen Grossberg
Chapter
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Part of the Boston Studies in the Philosophy of Science book series (BSPS, volume 70)

Abstract

This is the second of a three part series of articles on code development that appeared in 1976. The first article [36] responded to Malsburg’s addition of a normalization rule to the equations of Chapter 7. Malsburg’s rule directly constrains the total LTM strength of synaptic contacts to each cell. I realized that if this rule held in all learning cells, then classical conditioning would be impossible. I had realized a decade earlier (Chapter 2) that a direct LTM constraint can often be replaced by an STM constraint that influences LTM indirectly. Also my 1973 work on STM in shunting competitive networks was done, so I knew that the STM competition produces the normalization property for free, and does not contradict classical conditioning. My first article made these points, substituted shunting STM competition for additive competition and eliminated Malsburg’s LTM normalization rule.

Keywords

Bipolar Cell Amacrine Cell Tuning Curve Inhibitory Interneuron Arousal Level 
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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Copyright information

© D. Reidel Publishing Company, Dordrecht, Holland 1982

Authors and Affiliations

  • Stephen Grossberg
    • 1
  1. 1.Department of MathematicsBoston UniversityUSA

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