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unige:47813 
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Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators |
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| Published in | Proceedings of the International Workshop on Artificial and Natural Neural Networks (IWANN'97), Lanzarote, Canary Islands: Springer-Verlag. 1997 | |
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Lecture Notes in Computer Science |
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| Abstract | In this paper we adopt a temporal coding approach to neuronal modeling of the visual cortex, using oscillations. We propose a hierarchy of three processing modules corresponding to different levels of representation. The first layer encodes the input image (stimulus) into an array of units, while the second layer consists of a network of FitzHugh-Nagumo oscillators. The dynamical behaviour of the coupled oscillators is rigorously investigated and a stimulus-driven synchronization theorem is derived. However, this module reveals itself insufficient to correctly encode and segregate different objects when they have similar gray-levels in the input image. Therefore, a third layer connected in a feedback loop with the oscillators is added. This ensures synchronization (resp. desynchronization) of neuron ensembles representing the same (resp. a different) object. Simulation results are presented using synthetic as well as real and noisy gray-level images. | |
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Article (Published version) - Free access Other version: http://vision.unige.ch/publications/postscript/97/LabbiMilaneseBosch_iwann97.ps.gz |
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| Research group | Computer Vision and Multimedia Laboratory | |
| Citation (ISO format) | LABBI, Abderrahim, MILANESE, Ruggero, BOSCH, Holger. Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators. In: Proceedings of the International Workshop on Artificial and Natural Neural Networks (IWANN'97), Lanzarote, Canary Islands. [s.l.] : Springer-Verlag, 1997. (Lecture Notes in Computer Science) https://archive-ouverte.unige.ch/unige:47813 |
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