Timothée Masquelier, researcher in Computational Neuroscience & AI
DR2 CNRS, HDR, Section 7 (computer sc.) and CID 51 (computational biology)
NeuroAI co-team leader
Centre de Recherche Cerveau et Cognition, UMR5549 CNRS - Univ. Toulouse 3, Toulouse, France
Keywords: AI, computational neuroscience, neural networks, learning, vision, audition.
I am a researcher in AI & computational neuroscience. My research is highly interdisciplinary - at the interface between biology, computer science, and physics.
I use numerical simulations and analytical calculations to gain understanding on how the brain works, and more specifically on how neurons process, encode and transmit information through action potentials (a.k.a spikes), in particular in the visual and auditory modalities.
I am also interested in bio-inspired computer vision and audition. I am convinced that spiking neural networks (SNN) can be an appealing alternative to the conventional artificial neural networks commonly used in AI, especially if implemented on low-power neuromorphic chips.
I was trained at Ecole Centrale Paris (Ingénieur 1999), MIT (M. Sc. 2001), and Univ. Toulouse 3 (PhD 2008). I was recruited by the CNRS in 2012. You can download my complete CV here.
You can see the composition of my group here.
Bibliometry: Google Scholar, ORCID, Scopus, Research Gate
Last updated Oct 12 2022