A Neural Implementation of MINERVA 2
Access status:
Open Access
Type
Conference paperAbstract
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 ...
See moreThe 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.
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See moreThe 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.
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Date
2022Source title
Proceedings of the 44th Annual Meeting of the Cognitive Science SocietyPublisher
Cognitive Science SocietyFunding information
ARC DP190100719Licence
Creative Commons Attribution 4.0Faculty/School
Faculty of Science, School of PsychologyShare