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Distributed processing for modelling real-time multimodal perception in a virtual robot

Abstract : Built from a need for modelling cognitive processes, a modular neural network is designed as the "brain" of a virtual robot moving in a prey-predator environment. The robot decides its path from the animals it identifies around. Both a parallel implementation of distributed processes and a temporal coding of spiking neurons allow the robot to develop multimodal perception with attentional mechanisms and to react in real-time to its dynamic environment.
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https://hal.archives-ouvertes.fr/hal-00529527
Contributor : Sylvain Chevallier <>
Submitted on : Monday, April 13, 2020 - 3:08:46 PM
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Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître. Distributed processing for modelling real-time multimodal perception in a virtual robot. PDCN'2005, Feb 2005, Innsbruck, Austria. pp.393-398. ⟨hal-00529527⟩

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