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    An extended buffer model for active maintenance and selective updating

    Davelaar, Eddy and Usher, Marius (2004) An extended buffer model for active maintenance and selective updating. In: Bowman, H. and Labiouse, C. (eds.) Connectionist Models of Cognition and Perception II. Proceedings of the 8th Neural Computation and Psychology Workshop. Singapore: WorldScientific, pp. 3-14. ISBN 9789814482936.

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    Abstract

    In previous work, we developed a neurocomputational model of list memory, based on neural mechanisms, such as recurrent self-excitation and global inhibition that implement a short-term memory activation-buffer. Here, we compare this activation-buffer with a series of mathematical buffer models that originate from the 1960s, with special emphasis on presentation rate effects. We then propose an extension of the activation-buffer to address the process of selectively updating the buffer contents, which is critical for modeling working memory and complex higher-level cognition.

    Metadata

    Item Type: Book Section
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Depositing User: Sarah Hall
    Date Deposited: 11 Nov 2019 16:03
    Last Modified: 11 Nov 2019 16:03
    URI: http://eprints.bbk.ac.uk/id/eprint/29890

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