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- W1804114557 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." @default.
- W1804114557 created "2016-06-24" @default.
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- W1804114557 date "2008-05-08" @default.
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- W1804114557 title "Covert Attention with a Spiking Neural Network" @default.
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- W1804114557 doi "https://doi.org/10.1007/978-3-540-79547-6_6" @default.
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