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Communication Dans Un Congrès Année : 2008

Covert Attention with a Spiking Neural Network

Résumé

We propose an implementation of covert attention mechanisms with spiking neurons. Spiking neural models describe the activity of a neuron with precise spike-timing rather than firing rate. We investigate the interests offered by such a temporal code for low-level vision and early attentional process. This paper describes a spiking neural network which achieves saliency extraction and stable attentional focus of a moving stimulus. Experimental results obtained using real visual scene illustrate the robustness and the quickness of this approach.
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Dates et versions

hal-00472646 , version 1 (12-04-2010)

Identifiants

Citer

Sylvain Chevallier, Philippe Tarroux. Covert Attention with a Spiking Neural Network. International Conference on Computer Vision Systems, May 2008, Santorini, Greece. pp.56-65, ⟨10.1007/978-3-540-79547-6_6⟩. ⟨hal-00472646⟩
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