Neural Representation of Conceptual Knowledge.

Abstract

The neural encoding of memory is a problem of great interest and importance. Trlalditional proposals have taken one of two extreme views: The one-concept, one-neuron, punctate view and the full distributed, holographic alternative. Major advances in the behavioral, biological and computational sciences have greatly increased our understanding of the question and its potential answers. There is now good reason to reject both extreme views, but a compact encoding that derives from the punctate model appears to fit well with all the facts. Much of the work espousing holographic models is reinterpreted as studying system properties of neural networks and, as such, considered to be of great importance. Some suggestions for directions of further research are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1986
Accession Number
ADA169317

Entities

People

  • Jerome A. Feldman

Organizations

  • University of Rochester

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Brain
  • Central Nervous System
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computations
  • Computer Programming
  • Computer Science
  • Computers
  • Content Addressable Memory
  • Information Processing
  • Language
  • Nervous System
  • Neurology
  • Neurosciences
  • Psychology

Readers

  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks