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Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning.

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Title: Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning.
Authors: Aenugu S; Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA 01003, U.S.A. saenugu@umass.edu., Huber DE; Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, MA 01003, U.S.A. dehuber@umass.edu.
Source: Neural computation [Neural Comput] 2021 Nov 12; Vol. 33 (12), pp. 3351-3360.
Publication Type: Journal Article
Journal Info: Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Internet ISSN: 1530-888X (Electronic) Linking ISSN: 08997667 NLM ISO Abbreviation: Neural Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1162/neco_a_01444
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        Text: English
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        StartPage: 3351
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      – TitleFull: Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning.
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              Text: 2021 Nov 12
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