Toward a Model of Attention and the Development of Automatic Processing.

Abstract

A model for the development of automatic processing is briefly described. The model is a quasi-neural model in which information processing is done through the transmission of vectors between visual, lexical, semantic, and motor processing units. Controlled processing involves gating of the output power of vectors to perform matches and to release response vectors. As subjects practice consistent tasks, associative learning enables an input vector to evoke an output vector and priority learning determines the power with which a vector is transmitted. Automatic processing involves a cascade of vector transmissions in which the output power of each transmission is determined by priority learning. The transition from controlled to automatic processing takes place in four phases. Empirical illustrations of the transition are described. (Author).

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA149348

Entities

People

  • W. Schneider

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Automatic
  • Classification
  • Contracts
  • Governments
  • Illinois
  • Information Processing
  • Learning
  • Military Research
  • Plastic Explosives
  • Procurement
  • Psychological Phenomena And Processes
  • Security
  • Transitions
  • United States
  • United States Government

Fields of Study

  • Engineering

Readers

  • Electrical Engineering
  • Neural Network Machine Learning.
  • Speech Processing/Speech Recognition.