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.
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Haskell, E.C., Paksoy, V.E. (2011). Localized Activity States for Neuronal Field Equations of Feature Selectivity in a Stimulus Space with Toroidal Topology. In: Nonlinear and Complex Dynamics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0231-2_17
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DOI: https://doi.org/10.1007/978-1-4614-0231-2_17
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