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Laurent Perrinet

  • PhD
  • Researcher (CR1)
  • INT / Aix-Marseille University -CNRS
  • 13h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 846CitationsNumber of citations received by Laurent's publications. Updated daily.

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Research interests

Computational neuroscience

About

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 and specifically rank-order 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. 1) We study the macroscopic effect of microstructures (di-synaptic thalamo-cortical contacts, patchy connections) by implementing realistic models of the primary visual cortex. These results are confronted to experimental optical imaging data collected conjointly in the lab. 2) We model low-level vision function (tracking or catching an object) by using Bayesian-type probabilistic representations of information. These models introduce non-linearities (contrast gain control, center-surround interactions, adaptation) which are emerging naturally from the simple operations on probabilities. Current challenge is to be able to translate, or compile in computer terminology, such functional models into neural architectures that would exhibit similar dynamics.

Co-authors (57)

Publications (97)

Operant reinforcement versus reward expectancy: effects on anticipatory eye movements

  • Damasse J
  • Perrinet L
  • Jozefowiez J
Journal of Vision (2016)
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Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation

  • Simoncini C
  • Perrinet L
  • Montagnini A
Vision Science Society (2010)
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Functional consequences of correlated excitatory and inhibitory conductances in cortical networks.

  • Kremkow J
  • Perrinet L
  • Masson G
Journal of Computational Neuroscience (2010)
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Role of homeostasis in learning sparse representations.

  • Perrinet L
Neural computation (2010)
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Functional properties of feed-forward inhibition

  • Kremkow J
  • Perrinet L
  • Aertsen A
Deuxième conférence française de Neurosciences Computationnelles - Neurocomp08 (2008)
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Professional experience

Researcher (CR1)

INT / Aix-Marseille University -CNRS

October 2004 - Present

Education history

M.S. in Engineering

ENSAE SUPAERO - Ecole Nationale Supérieure de l'Aéronautique et de l'Espace

September 2017

Ph.D. in Neurosciences

Université de Toulouse 3 - University Paul Sabatier

October 1999 - February 2003(3 years)

Master 2 Recherche en Sciences Cognitives

ENS / EHESS / Paris 5 / Paris 6 / Ecole Polytechnique

September 1998 - September 1999(a year)