A General Architecture for Classical Conditioning of Perceptual-Motor Sequences

Abstract

A general neural network architecture, loosely modeled on the cerebral cortex, for the classical conditioning of perceptual-motor sequences is described. The utility of such an algorithm in robotics applications lies in its potential to adaptively order gross and fine motor actions under sensory control.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1990
Accession Number
ADA422541

Entities

People

  • Michael R. Blackburn

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Availability
  • Cerebral Cortex
  • Classification
  • Computing System Architectures
  • Contracts
  • Information Operations
  • Instructions
  • Mathematics
  • Monitoring
  • Network Architecture
  • Neural Networks
  • Robotics
  • Security
  • Sequences

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Neuroscience
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control