Bauer, Christoph and Burger, Thomas and Stetter, Martin and Lang, Elmar W. (2000) A neural network model for the self-organization of cortical grating cells. ZEITSCHRIFT FUR NATURFORSCHUNG C-A JOURNAL OF BIOSCIENCES, 55 (3-4). pp. 282-291. ISSN 0939-5075
Full text not available from this repository.Abstract
A neural network model with incremental Hebbian learning of afferent and lateral synaptic couplings is proposed,which simulates the activity-dependent self-organization of grating cells in upper layers of striate cortex. These cells, found in areas V1 and V2 of the visual cortex of monkeys, respond vigorously and exclusively to bar gratings of a preferred orientation and periodicity. Response behavior to varying contrast and to an increasing number of bars in the grating show threshold and saturation effects. Their location with respect to the underlying orientation map and their nonlinear response behavior are investigated. The number of emerging grating cells is controlled in the model by the range and strength of the lateral coupling structure.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | MONKEY VISUAL-CORTEX; EMERGENCE |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 31 May 2022 08:53 |
| Last Modified: | 31 May 2022 08:53 |
| URI: | https://pred.uni-regensburg.de/id/eprint/42813 |
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