Anr-Horizontal-V1

Victor Boutin
Vicotr obtained a PhD in the Institute of Neuroscience of Marseille, at the Aix-Marseille university. My PhD was supervised by Laurent U Perrinet. He did his post-doc with Thomas Serre at ANITI (Toulouse, France) & Brown University (Boston, USA).
2022-07-18
Cortical recurrence supports resilience to sensory variance in the primary visual cortex
Our daily endeavors occur in a complex visual environment, whose intrinsic variability challenges the way we integrate information to …
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Cortical recurrence supports resilience to sensory variance in the primary visual cortex
Pooling in a predictive model of V1 explains functional and structural diversity across species
Neurons in the primary visual cortex are selective to orientation with various degrees of selectivity to the spatial phase, from high …
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Pooling in a predictive model of V1 explains functional and structural diversity across species
Simulating anticipatory activity in a 1D Spiking Neural Network Model
poster number: 94 scheduled on Wednesday, Sep 22, 18:00 CEST. https://abstracts.g-node.org/conference/BC21/abstracts#/uuid/05f81f30-d5d5-4467-b977-f28e9bed65f0
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Pooling in a predictive model of V1 explains functional and structural diversity across species
Presenting my poster tonight at 8:00p #cosyne2020, a work developed using Sparse Deep Predictive Coding (SDPC) during my PhD @laurentperrinet @NeuroSchool_mrs pic.twitter.com/LtUEBnlPNt — AF (@Angelo_RDN) February 28, 2020 This is from:
Last updated on 2021-06-14
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Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to …
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Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Modulation of orientation selectivity by orientation precision
The primary visual cortex (V1) processes complex mixtures of orientations to build neural representations of our everyday visual …
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From the retina to action: Understanding visual processing
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
2020-04-03
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From the retina to action: Dynamics of predictive processing in the visual system
Within the central nervous system, visual areas are essential in transforming the raw luminous signal into a representation which …
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From the retina to action: Dynamics of predictive processing in the visual system
Learning dynamics in a neural network model of the primary visual cortex
Background: The primary visual cortex (V1) is a key component of the visual system that builds some of the first levels of coherent …
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A dynamic model for decoding direction and orientation in macaque primary visual cortex
When objects are in motion, the local orientation of their contours and the direction of motion are two essential components of visual …
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Des illusions aux hallucinations visuelles: une porte sur la perception
Les objectifs sont : – mieux comprendre la fonction de la perception visuelle en explorant certaines limites ; – mieux comprendre l’importance de l’aspect dynamique de la perception ; – mieux comprendre le rôle de l’action dans la perception.
2019-04-18
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Des illusions aux hallucinations visuelles: une porte sur la perception
From the retina to action: Understanding visual processing
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
2019-04-03
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From the retina to action: Predictive processing in the visual system
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
2019-03-25
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Should I stay or should I go? Adaption of human observers to the volatility of visual inputs
See the final publication @ Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the volatility of visual motion properties. PLoS Computational Biology. Cite DOI Press Pdf Code URL bioRxiv previous talk @ LAW, Lyon previous talk @ INVIBE FEST, Paris previous talk @ Brain workshop, Marseille next talk @ CAUSAL Kick-off, Marseille
2019-01-18
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Role of dynamics in neural computations underlying visual processing
2019-01-17
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Efficient coding of visual information in neural computations
2019-01-16
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Modelling spiking neural networks using Brian, Nest and pyNN
2019-01-14
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An adaptive homeostatic algorithm for the unsupervised learning of visual features
The formation of structure in the visual system, that is, of the connections between cells within neural populations, is by large an …
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Illusions et hallucinations visuelles : une porte sur la perception
Les illusions visuelles sont des créations d’artistes, de scientifiques et plus récemment, grâce aux réseaux sociaux, du grand …
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Orientation selectivity to synthetic natural patterns in a cortical-like model of the cat primary visual cortex
A key property of the neurons in the primary visual cortex (V1) is their selectivity to oriented stimuli in the visual field. …
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Temps et cerveau : comment notre perception nous fait voyager dans le temps
Lorsque nous observons un sablier, lorsque nous fixons notre regard sur les grains de sable qui tombent, nous avons le sentiment que le …
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Temps et cerveau : comment notre perception nous fait voyager dans le temps