A neural implementation of MINERVA 2

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Abstract

The MINERVA 2 (Hintzman, 1984) model of human memory has been used to simulate a variety of cognitive phenomena. These simulations, however, describe cognitive phenomena at Marr’s (1982) representation/algorithm level, with little effort to link the core assumptions of the model to an underlying neural implementation (however, see Kelly et al., 2017). This article describes a possible neural implementation of MINERVA 2—one that is simple and arguably biologically plausible. This implementation suggests a novel method for generating response latencies and provides a concrete example to support Marr’s claim that the representations and algorithms that mediate human performance in a variety of different cognitive tasks (e.g., decision making; Dougherty, Gettys, & Ogden, 1999) can be investigated and simulated without reference to their underlying neural implementation.
Original languageEnglish
Title of host publicationCogSci2022
Subtitle of host publicationproceedings of the 44th Annual Conference of the Cognitive Science Society
EditorsJennifer Culbertson, Andrew Perfors, Hugh Rabagliati, Veronica Ramenzoni
Place of PublicationAustin, Texas
PublisherCognitive Science Society
Pages2278-2284
Number of pages7
Publication statusPublished - Jul 2022
EventAnnual Meeting of the Cognitive Science Society (44th : 2022) - Toronto, Canada
Duration: 27 Jul 202230 Jul 2022

Publication series

NameProceedings of the Annual Meeting of the Cognitive Science Society
Volume44
ISSN (Electronic)1069-7977

Conference

ConferenceAnnual Meeting of the Cognitive Science Society (44th : 2022)
Abbreviated titleCogSci 2022
Country/TerritoryCanada
CityToronto
Period27/07/2230/07/22

Bibliographical note

Copyright the Author(s) 2022. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • connectionist network
  • MINERVA 2
  • neural network

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