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1 LIMSI - Laboratoire d-Informatique pour la Mécanique et les Sciences de l-Ingénieur 2 UP11 - Université Paris-Sud - Paris 11 3 ENS Paris - École normale supérieure - Paris

Abstract : 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.

Keywords : spiking neurons precise spike-timing covert attention saliency

Author: Sylvain Chevallier - Philippe Tarroux -



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