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    A model of individualized canonical microcircuits supporting cognitive operations

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    Author
    Kunze, T; Peterson, ADH; Haueisen, J; Knoesche, TR
    Date
    2017-12-04
    Source Title
    PLoS One
    Publisher
    PUBLIC LIBRARY SCIENCE
    University of Melbourne Author/s
    Peterson, Andre
    Affiliation
    Biomedical Engineering
    Metadata
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    Document Type
    Journal Article
    Citations
    Kunze, T., Peterson, A. D. H., Haueisen, J. & Knoesche, T. R. (2017). A model of individualized canonical microcircuits supporting cognitive operations. PLOS ONE, 12 (12), https://doi.org/10.1371/journal.pone.0188003.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/256050
    DOI
    10.1371/journal.pone.0188003
    Abstract
    Major cognitive functions such as language, memory, and decision-making are thought to rely on distributed networks of a large number of basic elements, called canonical microcircuits. In this theoretical study we propose a novel canonical microcircuit model and find that it supports two basic computational operations: a gating mechanism and working memory. By means of bifurcation analysis we systematically investigate the dynamical behavior of the canonical microcircuit with respect to parameters that govern the local network balance, that is, the relationship between excitation and inhibition, and key intrinsic feedback architectures of canonical microcircuits. We relate the local behavior of the canonical microcircuit to cognitive processing and demonstrate how a network of interacting canonical microcircuits enables the establishment of spatiotemporal sequences in the context of syntax parsing during sentence comprehension. This study provides a framework for using individualized canonical microcircuits for the construction of biologically realistic networks supporting cognitive operations.

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