Learning mechanisms to account for the speed, selectivity and invariance of responses in the visual cortex
Par Timothée Masquelier
Thème : Thèses
Genre : Sciences
216 pages couleur
Format classique 13/20 cm
In this thesis I propose various activity-driven synaptic plasticity mechanisms that could account for the speed, selectivity and invariance of the neuronal responses in the visual cortex. Their biological plausibility is discussed. I also present the results of a relevant psychophysical experiment demonstrating that familiarity can accelerate visual processing. Beyond these results on the visual system, the studies presented here also credit the hypothesis that the brain uses the spike times to encode, decode, and process information – a theory referred to as ‘temporal coding’. In such a framework the Spike Timing Dependent Plasticity may play a key role, by detecting repeating spike patterns and by generating faster and faster responses to those patterns.
Mots-clés :
After having studied general engineering at Ecole Centrale Paris and MIT (M.Sc.), and worked for three years in industry (operations research and software engineering), I finally joined the field of research in computational neuroscience, and started a Ph.D. at the CERCO with Simon Thorpe in November 2004.
I have just defended my PhD Thesis (on Feb. 15 2008). Title: Learning mechanisms to account for the speed, selectivity and invariance of responses in the visual cortex. Committee: Gustavo DECO (reviewer), Olivier FAUGERAS, Yves FREGNAC (reviewer), Martin GIURFA, Pascal MAMASSIAN, Simon THORPE (supervisor). You can download the pdf here.
I am now doing a postdoc with Gustavo Deco and his Computational Neuroscience Group in Barcelona
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