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Encoding in a network of sparsely connected spiking neurons : application to locust olfaction

Etienne Hugues Dominique Martinez 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Electrophysiological measurements in the locust antennal lobe have suggested that the odor could be encoded spatially and temporally during the network oscillation in the firing patterns of the excitatory cells. Interested by the mechanisms responsible for such a spatial code we have found that, for a sufficient level of inhibition, strong network oscillations appear in corresponding networks of excitatory and inhibitory spiking neurons during which a part of the excitatory cells fire at stimulus-dependent and precise times. This particular behavior is then investigated to unravel the underlying encoding properties.
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https://hal.inria.fr/inria-00000648
Contributor : Dominique Martinez <>
Submitted on : Thursday, November 10, 2005 - 4:56:31 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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Etienne Hugues, Dominique Martinez. Encoding in a network of sparsely connected spiking neurons : application to locust olfaction. Neurocomputing, Elsevier, 2005, 65-66, pp.537--542. ⟨inria-00000648⟩

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