The memory tesseract: Mathematical equivalence between composite and separate storage memory models

Matthew A. Kelly, D. J.K. Mewhort, Robert L. West

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Computational memory models can explain the behaviour of human memory in diverse experimental paradigms. But research has produced a profusion of competing models, and, as different models focus on different phenomena, there is no best model. However, by examining commonalities among models, we can move towards theoretical unification. Computational memory models can be grouped into composite and separate storage models. We prove that MINERVA 2, a separate storage model of long-term memory, is mathematically equivalent to composite storage memory implemented as a fourth order tensor, and approximately equivalent to a fourth-order tensor compressed into a holographic vector. Building of these demonstrations, we show that MINERVA 2 and related separate storage models can be implemented in neurons. Our work clarifies the relationship between composite and separate storage models of memory, and thereby moves memory models a step closer to theoretical unification.

Original languageEnglish (US)
Pages (from-to)142-155
Number of pages14
JournalJournal of Mathematical Psychology
Volume77
DOIs
StatePublished - Apr 1 2017

All Science Journal Classification (ASJC) codes

  • Psychology(all)
  • Applied Mathematics

Fingerprint Dive into the research topics of 'The memory tesseract: Mathematical equivalence between composite and separate storage memory models'. Together they form a unique fingerprint.

  • Cite this