| Autor: |
Labbi, Abderrahim, Milanese, Ruggero, Bosch, Holger |
| Jazyk: |
angličtina |
| Rok vydání: |
1997 |
| Předmět: |
|
| Zdroj: |
Proceedings of the International Symposium on Nonlinear Theory and its Applications (NOLTA'97) |
| Popis: |
This paper adresses the problem of modeling object segmentation in the visual cortex using oscillations. The proposed architecture is based on a network of locally connected FitzHugh-Nagumo oscillators which receive graded external input. We show the suitability of such a network to encode the stimulus since the amplitude of oscillations increases monotonically as a function of the input in the neighborhood of a bifurcation, while the frequency remains nearly constant. However, due to the diffusive effects of the Laplacian connectivity, the oscillators tend to be in phase even when they represent different objects. Therefore a desynchronization mechanism, which represents spatial information about the objects, is added. The overall dynamics are described and simulation results on real images are shown. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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