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[HDR] Soutenance : Timothee Masquelier, HDR - Spike-based computing and learning in brains, machines, and visual systems in particular, Toulouse, 02 oct. 2017, 14h

De : THOUEILLES Claire Claire.THOUEILLES [ chez ] cnrs.fr


lundi 02 octobre 2017 14:00
Salle de conférence (Pavillon Baudot), Hôpital Purpan

Timothée Masquelier : « HDR - Spike-based computing and learning in brains, machines, and visual systems in particular »

Résumé : “We have first shown that, thanks to the physiological learning mechanism referred to as spike timing-dependent plasticity (STDP), neurons can detect and learn repeating spike patterns, in an unsupervised manner, even when those patterns are embedded in noise, and the detection can be optimal. Importantly, the spike patterns do not need to repeat exactly: it also works when only a firing probability pattern repeats, providing this profile has narrow (10-20ms) temporal peaks. Brain oscillations may help in getting the required temporal precision, in particular when dealing with slowly changing stimuli. All together, these studies show that some envisaged problems associated to spike timing codes, in particular noise-resistance, the need for a reference time, or the decoding issue, might not be as severe as once thought. These generic STDP-based mechanisms are probably at work in particular the visual system, where they can explain how selectivity to visual primit!
ives emerges, ! leading to efficient object recognition. High spike time precision is required, and microsaccades could help. All these mechanisms are appealing for neuromorphic engineering applications. They can lead to fast, energy efficient systems which can learn online, in an unsupervised manner”

Jury :
Romain Brette
Mark Van Rossum
Julie Grollier
Pier-Giorgio Zanone
Emmanuel Barbeau

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