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个人简介
Laurent Perrinet is researcher in Computational Neuroscience at the "Institut de Neurosciences de la Timone" (France), a joint research unit (CNRS / Aix-Marseille Université). He graduated from the aeronautics engineering school SUPAERO, in Toulouse (France) with a signal processing and stochastic modelization degree. He received a PhD. in Cognitive Science in 2003. The thesis was directed by Manuel Samuelides and co-directed by Simon Thorpe. It emphasized on mathematical analysis on temporal spike coding. This work was extended on multi-scale and adaptive representation of natural static scenes. His research program is now focusing in bridging the complex dynamics of realistic models of large-scale models of spiking neurons with functional models of low-level vision.
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Neural Networks (2024): 106415-106415
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