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 language | American English |
|---|---|
| Title of host publication | Nonlinear and Complex Dynamics |
| Subtitle of host publication | Applications in Physical, Biological, and Financial Systems Authors |
| Editors | Jose Antonio Tenreiro Machado, Dumitru Baleanu, Albert C. J Luo |
| Place of Publication | New York |
| Publisher | Springer |
| Pages | 207-216 |
| Number of pages | 10 |
| ISBN (Print) | 978-1-4614-0230-5 |
| DOIs | |
| State | Published - Jan 1 2011 |
Disciplines
- Physical Sciences and Mathematics
- Applied Mathematics
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