Laurent Perrinet

CNRS Marseille, Marseille, Provence-Alpes-Côte d'Azur, France
Visual system, computational neuroscience
"Laurent Perrinet"

Let’s admit it: brains are not computers. Indeed, computers are still deceptive compared to biological perceptual systems. Think about rapidly detecting a novel object in clutter. Think about performing this with little supervision at a low energetic cost…
To narrow the gap between neuroscience and the theory of sensory processing computations, I am interested in bridging geometrical regularities found in natural scenes with the properties of neural computations as they are observed in sensory processes or behavior.

Mean distance: 14.26 (cluster 29)
Cross-listing: Computational Biology Tree


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Manuel Samuelides grad student 1999-2003 CERT - ONERA
Simon J. Thorpe grad student 1999-2003 CNRS
 (Codirection with Manuel Samuelides)
Guillaume Masson research scientist 2004-2015 Institut de Neurosciences de la Timone UMR 7289 Aix Marseille Université, CNRS
BETA: Related publications


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Grimaldi A, Perrinet LU. (2023) Learning heterogeneous delays in a layer of spiking neurons for fast motion detection. Biological Cybernetics. 117: 373-387
Ladret HJ, Cortes N, Ikan L, et al. (2023) Cortical recurrence supports resilience to sensory variance in the primary visual cortex. Communications Biology. 6: 667
Boutin V, Franciosini A, Chavane F, et al. (2022) Pooling strategies in V1 can account for the functional and structural diversity across species. Plos Computational Biology. 18: e1010270
Barthélemy FV, Fleuriet J, Perrinet LU, et al. (2022) A behavioral receptive field for ocular following in monkeys: Spatial summation and its spatial frequency tuning. Eneuro
Chavane F, Perrinet LU, Rankin J. (2022) Revisiting horizontal connectivity rules in V1: from like-to-like towards like-to-all. Brain Structure & Function
Boutin V, Franciosini A, Chavane F, et al. (2021) Sparse deep predictive coding captures contour integration capabilities of the early visual system. Plos Computational Biology. 17: e1008629
Boutin V, Franciosini A, Ruffier F, et al. (2020) Effect of Top-Down Connections in Hierarchical Sparse Coding. Neural Computation. 1-31
Pasturel C, Montagnini A, Perrinet LU. (2020) Humans adapt their anticipatory eye movements to the volatility of visual motion properties. Plos Computational Biology. 16: e1007438
Daucé E, Albiges P, Perrinet LU. (2020) A dual foveal-peripheral visual processing model implements efficient saccade selection Journal of Vision. 20: 22
Perrinet LU. (2019) An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features. Vision (Basel, Switzerland). 3
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