Localized Activity States for Neuronal Field Equations of Feature Selectivity in a Stimulus Space with Toroidal Topology

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    Spatially localized activity profiles have long been proposed as a mechanism for feature selectivity in models of cortex. Cortical neurons show selectivity to many features of the stimulus space. Recent experimental evidence shows strong correlations between population activity and the topology of the stimulus space. Here we focus on a case where neurons respond preferentially to two independent circular variables to examine the influence of a Torus topology on the computational properties of the neuronal network.
    Original languageAmerican English
    Title of host publicationNonlinear and Complex Dynamics
    Subtitle of host publicationApplications in Physical, Biological, and Financial Systems Authors
    EditorsJose Antonio Tenreiro Machado, Dumitru Baleanu, Albert C. J Luo
    Place of PublicationNew York
    PublisherSpringer
    Pages207-216
    Number of pages10
    ISBN (Print)978-1-4614-0230-5
    DOIs
    StatePublished - Jan 1 2011

    Disciplines

    • Physical Sciences and Mathematics
    • Applied Mathematics

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