Assigning meaning to data: Using sparse distributed memory for multilevel cognitive tasks

Larry M. Manevitz, Yigal Zemach

Research output: Contribution to journalArticlepeer-review

Abstract

It is shown how a single homogeneous SDM memory can be organized to link between low level information and high level correlations. To illustrate this, we report on experiments run in a unified memory retrieval system, that combined pattern recognition of individual English characters followed by the assignment of 'meaning' to a string by giving it a Hebrew translation. Symmetry allows the reverse action on the same memory (i.e. Hebrew character identification followed by translation of a string to English).

Original languageEnglish
Pages (from-to)15-39
Number of pages25
JournalNeurocomputing
Volume14
Issue number1
DOIs
StatePublished - Jan 1997

Keywords

  • associative memory
  • high-order-correlation
  • sparse distributed memory

ASJC Scopus subject areas

  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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