Contribution to Book
Localized Activity States for Neuronal Field Equations of Feature Selectivity in a Stimulus Space with Toroidal Topology
Nonlinear and Complex Dynamics: Applications in Physical, Biological, and Financial Systems
(2011)
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.
Disciplines
Publication Date
2011
Editor
José António Tenreiro Machado, Dumitru Baleanu, and Albert C. J. Luo
Publisher
Springer
DOI
https://doi.org/10.1007/978-1-4614-0231-2_17
Citation Information
Evan C Haskell and Vehbi Paksoy. "Localized Activity States for Neuronal Field Equations of Feature Selectivity in a Stimulus Space with Toroidal Topology" 1New YorkNonlinear and Complex Dynamics: Applications in Physical, Biological, and Financial Systems (2011) p. 207 - 216 Available at: http://works.bepress.com/evan-haskell/91/