Laurent Perrinet
Laurent Perrinet
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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 …
Victor Boutin
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 …
Hugo Ladret
,
Nelson Cortes
,
Lamyae Ikan
,
Frédéric Chavane
,
Christian Casanova
,
Laurent U Perrinet
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bioRxiv
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 …
Victor Boutin
,
Angelo Franciosini
,
Frédéric Chavane
,
Laurent U Perrinet
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bioRxiv
Simulating anticipatory activity in a 1D Spiking Neural Network Model
poster number: 94 scheduled on Wednesday, Sep 22, 18:00 CEST. …
Alberto Arturo Vergani
,
Laurent U Perrinet
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Pooling in a predictive model of V1 explains functional and structural diversity across species
In this talk, I will present the following paper : Pooling in a predictive model of V1 explains functional and structural diversity …
Laurent U Perrinet
,
Angelo Franciosini
Last updated on 2021-06-14
NeuroAI & Machine Learning
,
Theoretical Neuroscience
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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 …
Victor Boutin
,
Angelo Franciosini
,
Frédéric Chavane
,
Franck Ruffier
,
Laurent U Perrinet
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arXiv
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 …
Hugo Ladret
,
Nelson Cortes
,
Lamyae Ikan
,
Frédéric Chavane
,
Christian Casanova
,
Laurent U Perrinet
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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 …
Laurent U Perrinet
2020-04-03
Biological Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
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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 …
Laurent U Perrinet
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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 …
Hugo Ladret
,
Laurent U Perrinet
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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 …
Wahiba Taouali
,
Giacomo Benvenuti
,
Frédéric Chavane
,
Laurent U Perrinet
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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.
Laurent U Perrinet
2019-04-18
Behavioural Neuroscience
,
NeuroAI & Machine Learning
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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 …
Laurent U Perrinet
2019-04-03
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
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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 …
Victor Boutin
,
Angelo Franciosini
,
Laurent U Perrinet
2019-03-25
Biological Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
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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 @ Humans adapt their anticipatory eye movements to the volatility of visual motion properties Chloé …
Laurent U Perrinet
2019-01-18
Behavioural Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
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Role of dynamics in neural computations underlying visual processing
Laurent U Perrinet
2019-01-17
Computational Neuroscience
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NeuroAI & Machine Learning
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Efficient coding of visual information in neural computations
Laurent U Perrinet
2019-01-16
Computational Neuroscience
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NeuroAI & Machine Learning
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Modelling spiking neural networks using Brian, Nest and pyNN
Laurent U Perrinet
2019-01-14
Computational Neuroscience
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NeuroAI & Machine Learning
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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 …
Laurent U Perrinet
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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 …
Laurent U Perrinet
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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. …
Hugo Ladret
,
Nelson Cortes
,
Frédéric Chavane
,
Laurent U Perrinet
,
Christian Casanova
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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 …
Laurent U Perrinet
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