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Neural Expectation: Cerebellar and Retinal Analogs of Cells Fired by Learnable or Unlearned Pattern Classes

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

Abstract

This article contains a confluence of several streams of theoretical ideas. Earlier mathematical work on associative learning showed that the unit of long term memory is a spatial pattern, or a pattern of ‘reflectances’. After noticing this, I applied minimality, or Occam’s razor, when I asked: “If the system can learn only reflectance patterns, then does it not discriminate only reflectance patterns? Would not discriminatory capabilities atrophy due to disuse if they could not abet later recognition acts by being learned?” This ‘equal tuning principle’ for learning and perception led me to construct the minimal networks capable of discriminating reflectance patterns.

Keywords

Purkinje Cell Input Pattern Bipolar Cell Mossy Fiber Amacrine Cell 
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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