Laurent Perrinet

Chercheur CNRS en Neurosciences computationnelles, Aix-Marseille Université (AMU)

Laurent Perrinet is a computational neuroscientist specialized in large scale neural network models of low-level vision, perception and action, currently at the “Institut de Neurosciences de la Timone” (France), a joint research unit (CNRS / Aix-Marseille Université). He co-authored more than 40 articles in computational neuroscience and computer vision. He graduated from the aeronautics engineering school SUPAERO, in Toulouse (France) with a signal processing and applied mathematics degree. He received a PhD in Cognitive Science in 2003 on the mathematical analysis of temporal spike coding of images by using a multi-scale and adaptive representation of natural scenes.

Experience

  • –present
    Chercheur CNRS en Neurosciences computationnelles, IMéRA

Education

  • 2017 
    Faculté de Médecine, HDR