Covert attention with a spiking neural network

  • Authors:
  • Sylvain Chevallier;Philippe Tarroux

  • Affiliations:
  • Université Paris-Sud XI, France and LIMSI, CNRS, UPR, Orsay, France;LIMSI, CNRS, UPR, Orsay, France and École Normale Supérieure, Paris, France

  • Venue:
  • ICVS'08 Proceedings of the 6th international conference on Computer vision systems
  • Year:
  • 2008

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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.