Models for Recall and Recognition (Modellen voor Herinnering en Herkenning)

Abstract

The state of art concerning models for recall and recognition is reviewed. A distinction is made between network models, search or separate trace models, and composite/distributed memory models. The models are compared on a number of aspects, such as: whether they are based on separate or composite traces, de nature of the memory representation, context dependency, etc. Following this review, a comparison is made with respect to the ability to predict basic findings in memory research. The report concludes with a discussion of the advantages and disadvantages of quantitative models of memory.

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Document Details

Document Type
Technical Report
Publication Date
May 23, 1991
Accession Number
ADA245418

Entities

People

  • J. G. Raaijmakers
  • R. M. Shiffrin

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Availability
  • Classification
  • Coding
  • Cognition
  • Cognitive Science
  • Composite Materials
  • Content Addressable Memory
  • Convolution
  • Images
  • Mathematical Models
  • Models
  • Psychology
  • Recognition
  • Simulations
  • Standards

Readers

  • Computational Modeling and Simulation
  • Marine Propulsion Engineering and Naval Architecture
  • Neural Network Machine Learning.