Laurent Perrinet
Laurent Perrinet
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Behavioural Neuroscience
Dans l’intelligence du regard : l’art révèle la diversité de notre vision
La vision reste un paradoxe : comment un processus aussi complexe qu’apprendre à « faire sens de nos sens » peut-il être si simple à …
Laurent U Perrinet
2026-04-11
Behavioural Neuroscience
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NeuroAI & Machine Learning
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2026-03-05-ue-natural-cognition
Artificial neural networks and machine learning applied to the understanding of biological vision
2026-03-05
Behavioural Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
,
Visual Neuroscience
Foveated Retinotopy Improves Classification and Localization in CNNs
Foveated Retinotopy in CNNs. We represent Left an input image and how it is transformed by foveated retinotopy. We show below a …
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
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arXiv
Open PhD Position in Computational & Systems Neuroscience : 'Neuromodulatory control of predictive processing in visual cortical circuits'
The position has been filled. We are recruiting a PhD student to work on neuromodulatory control of predictive processing in mouse …
Laurent U Perrinet
,
Ede Rancz
2026-01-03
1 min read
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
Physiological state Monitoring: a Riemannian Geometry based-model
This study investigates the use of Riemannian geometry to detect and monitor physiological states such as mental workload (MWL) from an …
A Choplin
,
T Rakotomamonjy
,
Laurent U Perrinet
,
N Lantos
,
S Angelliaume
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IEEE
A New Look for Convolutional Deep Networks
By construction, deep convolutional networks treat all pixels equally. Result: they are energy-hungry, fragile to rotations or zooms, …
Laurent U Perrinet
2025-12-12
Behavioural Neuroscience
,
Biological Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
,
Visual Neuroscience
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MAIN
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YouTube
A New Look for Convolutional Deep Networks
By construction, deep convolutional networks treat all pixels equally. Result: they are energy-hungry, fragile to rotations or zooms, …
Laurent U Perrinet
2025-12-02
Behavioural Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
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Foveal Retinotopy and Dual Pathways: A Computational Model for Active Visual Search
Abstract This thesis investigates visual search through the lens of the dual visual pathways found in biological systems : the ventral …
Jean-Nicolas Jérémie
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Soutenance de Jean-Nicolas Jérémie "Foveal Retinotopy and Dual Pathways: A Computational Model for Active Visual Search"
Jean-Nicolas Jérémie soutiendra publiquement ses travaux de thèse intitulés: Foveal Retinotopy and Dual Pathways: A Computational Model …
Jean-Nicolas Jérémie
2025-10-10
4 min read
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
DynTex: A Real-Time Generative Model of Dynamic Naturalistic Luminance Textures
The visual systems of animals work in diverse and constantly changing environments where organism survival requires effective senses. …
Andrew Isaac Meso
,
Jonathan Vacher
,
Nikos Gekas
,
Pascal Mamassian
,
Laurent U Perrinet
,
Guillaume S Masson
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Conférence immersive : La vision, réalité ou perception ?
Ouvrez grand les yeux… mais méfiez-vous de ce qu’ils vous montrent. Cette conférence immersive vous emmène dans un voyage fascinant au …
Laurent U Perrinet
2025-06-12
Behavioural Neuroscience
,
NeuroAI & Machine Learning
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Tout public!
Ciné-Sciences : Ouvrez grand les yeux
Ouvrez grand les yeux… mais méfiez-vous de ce qu’ils vous montrent. Cette séance cinéma vous emmène dans un voyage fascinant au cœur du …
Laurent U Perrinet
2025-06-10
Behavioural Neuroscience
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NeuroAI & Machine Learning
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Classification of Mental Workload Spatial Effects using Riemannian Manifold
This study investigates the use of Riemannian geometry to classify mental workload from an EEG dataset collected in an aeronautical …
A Choplin
,
T Rakotomamonjy
,
Laurent U Perrinet
,
N Lantos
,
S Angelliaume
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HAL
Abstract
Integrating the What and Where Visual Pathways to Improve CNN Categorisation
Convolutional Neural Networks (CNNs) have been widely used for categorisation tasks over the past decades. Many studies have attempted …
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
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URL
Abstract
An open-source vision-science tool for the auto-regressive generation of dynamic stochastic textures Motion Clouds
Motion Clouds are a generative model for naturalistic visual stimulation that offer full parametric control and more naturalism than …
Nikos Gekas
,
Andrew Isaac Meso
,
Jonathan Vacher
,
Laurent U APerrinet
,
Pascal Mamassian
,
Guillaume S Masson
Cite
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Soutenance de thèse Antoine Grimaldi
Antoine Grimaldi (Equipe NeOpTo) a soutenu sa thèse de doctorat intitulée:
Neural computations with precise spiking motifs for dynamic vision
le Jeudi 16 mai à 15h
Laurent U Perrinet
,
Antoine Grimaldi
Last updated on 2024-05-15
4 min read
Behavioural Neuroscience
,
Biological Neuroscience
,
NeuroAI & Machine Learning
PhD thesis 'Focus of attention: a sensory-motor task for energy reduction in spiking neural networks'
Dear colleagues, Applications are welcome for a fully funded PhD position Focus of attention: a sensory-motor task for energy reduction …
Laurent U Perrinet
2024-05-03
8 min read
Behavioural Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
,
Visual Neuroscience
Retinotopy in CNN's implements Efficient Visual Search
While foveated vision, a trait shared by many animals including humans, is a major contributor to biological visual performance, it has …
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
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Ultra-Fast Image Categorization in biology and in neural models
Humans are able to robustly categorize images and can, for instance, detect the presence of an animal in a briefly flashed image in as …
Jean-Nicolas Jérémie
,
Laurent U Perrinet
Cite
DOI
arXiv
Resilience to sensory uncertainty in the primary visual cortex
Our daily endeavors occur in a complex visual environment, whose intrinsic variability shapes the way we integrate information to make …
Hugo Ladret
,
Nelson Cortes
,
Lamyae Ikan
,
Frédéric Chavane
,
Christian Casanova
,
Laurent U Perrinet
Cite
URL
Learning heterogeneous delays of spiking neurons for motion detection
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
Antoine Grimaldi
,
Laurent U Perrinet
Cite
URL
Learning heterogeneous delays of spiking neurons for motion detection
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
Antoine Grimaldi
,
Camille Besnainou
,
Hugo Ladret
,
Laurent U Perrinet
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Decoding spiking motifs using neurons with heterogeneous delays
The response of a biological neuron depends largely on the precise timing of presynaptic spikes that reach the basal dendritic tree. …
Antoine Grimaldi
,
Camille Besnainou
,
Hugo Ladret
,
Laurent U Perrinet
PDF
Cite
Slides
Venue
Ultra-rapid visual search in natural images using active deep learning
Visual search, that is, the simultaneous localization and detection of a visual target of interest, is a vital task. Applied to the …
Jean-Nicolas Jérémie
,
Emmanuel Daucé
,
Laurent U Perrinet
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Venue
Which sparsity problem does the brain solve?
Experimental evidence suggests that activity in sensory cortices is sparse in that only few neurons out of a large pool that could …
Ilias Rentzeperis
,
Luca Calatroni
,
Laurent U Perrinet
,
Dario Prandi
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Statistics of the sparse representations of natural images
In most mammals, the primary visual cortex (V1) processes complex mixtures of orientations to construct an accurate neural …
Hugo Ladret
,
Laurent U Perrinet
Last updated on 2021-10-12
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
,
Visual Neuroscience
Cite
URL
Des illusions aux 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
2022-01-12
Behavioural Neuroscience
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NeuroAI & Machine Learning
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A Behavioral Receptive Field for Ocular Following in Monkeys: Spatial Summation and Its Spatial Frequency Tuning
In human and non-human primates, reflexive tracking eye movements can be initiated at very short latency in response to a rapid shift …
Frédéric v Barthélemy
,
Jérome Fleuriet
,
Laurent U Perrinet
,
Guillaume S Masson
Cite
DOI
HAL
ANR ACES (2022/2026)
Assignment of credit and constraints on eye movement learning (2022/2026).
Anna Montagnini
,
Emmanuel Daucé
,
Laurent U Perrinet
,
Laurent Madelain
Behavioural Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
Les illusions sèment le trouble dans les esprits
Article de dissémination : la perception visuelle, telle qu’elle paut être comprise à travers illusions visuelles.
Laurent U Perrinet
2021-04-06
1 min read
Behavioural Neuroscience
,
NeuroAI & Machine Learning
Project
URL
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
PDF
Cite
DOI
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URL
arXiv
Le jeu du cerveau et du hasard
Dans la pièce de théâtre la plus célèbre de Marivaux Le jeu de l’amour et du hasard, l’auteur joue à inverser le rôle des …
Laurent U Perrinet
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PhD offer "Ultra-fast vision using Spiking Neural Networks"
THE POSITION HAS BEEN FILLED. Offre de thèse “Vision ultra-rapide par réseaux de neurones impulsionnels” à Marseille
Laurent U Perrinet
2020-06-30
9 min read
Behavioural Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
A dual foveal-peripheral visual processing model implements efficient saccade selection
In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …
Emmanuel Daucé
,
Pierre Albigès
,
Laurent U Perrinet
Cite
DOI
Pdf
Code
URL
bioRxiv
ANR PRIOSENS (2021/2025)
Integration sensory and prior information to control behavior (CRCNS US-French Research Proposal)
Anna Montagnini
,
Laurent U Perrinet
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
ANR ShootingStar (2021/2024)
Processing of naturalistic motion in early vision
Frédéric Chavane
,
Laurent U Perrinet
Behavioural Neuroscience
,
NeuroAI & Machine Learning
,
Visual Neuroscience
Humans adapt their anticipatory eye movements to the volatility of visual motion properties
Humans are able to accurately track a moving object with a combination of saccades and smooth eye movements. These movements allow us …
Chloé Pasturel
,
Anna Montagnini
,
Laurent U Perrinet
Cite
DOI
Press
Pdf
Code
URL
bioRxiv
Des illusions aux 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
2020-01-20
Behavioural Neuroscience
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NeuroAI & Machine Learning
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Conference
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URL
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
PDF
Cite
DOI
Code
URL
HAL
Postdoc position on Visual computations using Spatio-temporal Diffusion Kernels and Traveling Waves
THE POSITION HAS BEEN FILLED. 18 month Post-doc position coordinated by
Laurent Perrinet
, supported by (INT, Marseille) and
Yves Frégnac
(UNIC-NeuroPSI, Gif).
Laurent U Perrinet
2019-10-21
7 min read
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
,
Visual Neuroscience
Learning where to look: a foveated visuomotor control model
In computer vision, the visual search task consists in extracting a scarce and specific visual information (the target) from a large …
Emmanuel Daucé
,
Pierre Albigès
,
Laurent U Perrinet
2019-07-15
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
,
Visual Neuroscience
PDF
Cite
Slides
Pdf
Code
URL
Illusions et hallucinations visuelles : une porte sur la perception
Article de dissémination sur la perception visuelle vue à travers illusions et hallucinations.
Laurent U Perrinet
2019-06-13
1 min read
Behavioural Neuroscience
,
NeuroAI & Machine Learning
Project
Project
Should I stay or should I go? Humans adapt to the volatility of visual motion properties, and know about it
Animal behavior must constantly adapt to changes, for example when the state of an environmental context changes unexpectedly. For an …
Laurent U Perrinet
2019-05-23
Behavioural Neuroscience
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NeuroAI & Machine Learning
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2019-05-20: Symposium on Active Inference at NeuroFrance 2019
We organized a Symposium at NeuroFrance 2019 entitled
Active Inference: Bridging theoretical and experimental neurosciences
. This is part of a series of theoretical neuroscience symposia organized in this international conference from the french Neursocience Society.
Laurent U Perrinet
2019-05-20
7 min read
Behavioural Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
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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DOI
Conference
Video
Venue
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Code
URL
Should I stay or should I go? Adaption of human observers to the volatility of visual inputs
Animal behavior has to constantly adapt to changes, for instance when unexpectedly switching the state of an environmental context. For …
Laurent U Perrinet
2019-04-05
Behavioural Neuroscience
,
NeuroAI & Machine Learning
Cite
Slides
Code
URL
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
Cite
Project
Slides
Code
URL
Effet de La Variabilité de La Vitesse Sur Le Mouvement de Poursuite Oculaire Lente et Sur La Perception de La Vitesse
Nous avons expliqué comment le système visuel intègre les informations de mouvement en manipulant la distribution de vitesse locale à …
Kiana Mansour-Pour
Cite
DOI
URL
Suppressive waves disambiguate the representation of long-range apparent motion in awake monkey V1
Traveling waves have recently been observed in different animal species, brain areas and behavioral states. However, it is still unclear what are their functional roles. In the case of cortical visual processing, waves propagate across retinotopic maps and can hereby generate interactions between spatially and temporally separated instances of feedforward driven activity. Such interactions could participate in processing long-range apparent motion stimuli, an illusion for which no clear neuronal mechanisms have yet been proposed. Using this paradigm in awake monkeys, we show that suppressive traveling waves produce to a spatio-temporal normalization of apparent motion stimuli. Our study suggests that cortical waves shape the representation of illusory moving stimulus within retinotopic maps for an straightforward read-out by downstream areas.
Sandrine Chemla
,
Alexandre Reynaud
,
Matteo DiVolo
,
Yann Zerlaut
,
Laurent U Perrinet
,
Alain Destexhe
,
Frédéric Chavane
Cite
DOI
URL
HAL
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
Cite
URL
arXiv
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
Cite
Conference
Slides
Code
URL
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
Cite
Project
Video
DOI
URL
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
Cite
URL
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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DOI
URL
Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
A common practice to account for psychophysical biases in vision is to frame them as consequences of a dynamic process relying on …
Jonathan Vacher
,
Andrew Isaac Meso
,
Laurent U Perrinet
,
Gabriel Peyré
PDF
Cite
DOI
URL
arXiv
La modélisation biomorphique de la perception visuelle
in “La modélisation de la genèse physico-mathématique du vivant” BIOMORPHISME ET CREATION ARTISTIQUE – Session 3 Date 11 …
Laurent U Perrinet
2018-10-11
Behavioural Neuroscience
,
NeuroAI & Machine Learning
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Project
Conference
URL
Smooth Pursuit Eye Movements and Learning : Role of Motion Probability and Reinforcement Contingencies
Un défi majeur pour les organismes vivants est leur capacité d’adapter constamment leurs comportements moteurs. Dans la première étude …
Jean-Bernard Damasse
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2018-04-05 : *Probabilities and Optimal Inference to understand the Brain* Workshop
We organize a Symposium at NeuroFrance 2019 entitled Active Inference: Bridging theoretical and experimental neurosciences. This is part of a series of theoretical neuroscience symposia organized in this international conference from the french Neursocience Society.
Laurent U Perrinet
2018-04-05
1 min read
Behavioural Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
2018-03-26 : PhD Program: course in Computational Neuroscience
PhD Program: course in Computational Neuroscience.
Laurent U Perrinet
2018-03-26
4 min read
Behavioural Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
Project
Project
ANEMO: Quantitative tools for the ANalysis of Eye MOvements
see a write-up in Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the …
Chloé Pasturel
,
Anna Montagnini
,
Laurent U Perrinet
PDF
Cite
Project
URL
HAL
Estimating and anticipating a dynamic probabilistic bias in visual motion direction
Humans are able to accurately track a moving object with a combination of saccades and smooth eye movements. These movements allow …
Laurent U Perrinet
,
Chloé Pasturel
,
Anna Montagnini
Cite
URL
Estimating and anticipating a dynamic probabilistic bias in visual motion direction
Humans are able to accurately track a moving object with a combination of saccades and smooth eye movements. These movements allow …
Chloé Pasturel
,
Anna Montagnini
,
Laurent U Perrinet
Cite
Pdf
Code
URL
Selectivity to oriented patterns of different precisions
The selectivity of the visual system to oriented patterns is very well documented in a wide range of species, especially in mammals. In …
Hugo Ladret
,
Laurent U Perrinet
Cite
Code
PDF
Speed uncertainty and motion perception with naturalistic random textures
It is still not fully understood how visual system integrates motion energy across different spatial and temporal frequencies to build …
Kiana Mansour-Pour
,
Nikos Gekas
,
Pascal Mamassian
,
Laurent U Perrinet
,
Anna Montagnini
,
Guillaume S Masson
Cite
DOI
URL
The flash-lag effect as a motion-based predictive shift
Due to its inherent neural delays, the visual system has an outdated access to sensory information about the current position of moving …
Mina A Khoei
,
Guillaume S Masson
,
Laurent U Perrinet
Cite
Slides
DOI
Press
Code
URL
HAL
Controlling an aerial robot with human gestures using bio-inspired algorithm
Improve performances of existing recognition computer vision algorithms with biological concepts. The gain are expected in the …
Victor Boutin
,
Angelo Franciosini
,
Franck Ruffier
,
Laurent U Perrinet
Cite
Efficient learning of sparse image representations using homeostatic regulation
One core advantage of sparse representations is the efficient coding of complex signals using compact codes. For instance, it allows …
Victor Boutin
,
Franck Ruffier
,
Laurent U Perrinet
Cite
Estimating and anticipating a dynamic probabilistic bias in visual motion direction
see a write-up in Chloé Pasturel, Anna Montagnini, Laurent U Perrinet (2020). Humans adapt their anticipatory eye movements to the …
Chloé Pasturel
,
Jean-Bernard Damasse
,
Anna Montagnini
,
Laurent U Perrinet
Cite
Pdf
URL
How the dynamics of human smooth pursuit is influenced by speed uncertainty
Kiana Mansour-Pour
,
Laurent U Perrinet
,
Guillaume S Masson
,
Anna Montagnini
Cite
Pdf
URL
Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit
The properties of motion processing for driving smooth eye movements have bee investigated using simple, artificial stimuli such as …
Kiana Mansour-Pour
,
Laurent U Perrinet
,
Guillaume S Masson
,
Anna Montagnini
Cite
URL
Reinforcement contingencies modulate anticipatory smooth eye movements
Natural environments potentially contain several interesting targets for goal-directed behavior. Thus sensorimotor systems need to …
Jean-Bernard Damasse
,
Laurent U Perrinet
,
Jérémie Jozefowiez
,
Laurent Madelain
,
Anna Montagnini
2016-11-03
Behavioural Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
Cite
URL
2016-10-26 : EUVIP BICV
EUVIP Session 7: Biologically Inspired Computer Vision (Special Session).
Laurent U Perrinet
2016-10-26
2 min read
Behavioural Neuroscience
,
Computational Neuroscience
,
Computer Vision
,
NeuroAI & Machine Learning
Les illusions visuelles, un révélateur du fonctionnement de notre cerveau
Les illusions visuelles sont des créations d’artistes, de scientifiques et plus récemment, grâce aux réseaux sociaux, du grand …
Laurent U Perrinet
2016-04-28
Behavioural Neuroscience
,
NeuroAI & Machine Learning
Cite
Project
URL
ANR CausaL (2018/2020)
ANR CausaL (2018/2020) : Cognitive architectures of Causal Learning.
Behavioural Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
ANR Horizontal-V1 (2017/2021)
Connectivité Horizontale et Prédiction de Cohérences dans l’Intégration de Contour et Mouvement dans le Cortex Visuel Primaire
Yves Fregnac
,
Frédéric Chavane
,
Laurent U Perrinet
Behavioural Neuroscience
,
Biological Neuroscience
,
Computational Neuroscience
,
Visual Neuroscience
ANR REM (2013/2016)
ANR REM : Renforcement et mouvements oculaires (2013/2016).
Behavioural Neuroscience
,
Theoretical Neuroscience
ANR SPEED (2013/2016)
ANR SPEED: Traitement de la vitesse dans les scènes visuelles naturelles (2013/2016).
Behavioural Neuroscience
,
Computational Neuroscience
Les illusions visuelles, un révélateur du fonctionnement de notre cerveau
Ce lundi 25 avril de 9h à 12h, je suis venu échanger au côté de Serge Dentin autour de films traitant du rapport fiction/réel, des …
Laurent U Perrinet
2016-04-25
Behavioural Neuroscience
,
NeuroAI & Machine Learning
Cite
Project
Conference
URL
A dynamic model for decoding direction and orientation in macaque primary visual cortex
Natural scenes generally contain objects in motion. The local orientation of their contours and the direction of motion are two …
Wahiba Taouali
,
Giacomo Benvenuti
,
Frédéric Chavane
,
Laurent U Perrinet
Cite
DOI
URL
A dynamic model for decoding direction and orientation in macaque primary visual cortex
Natural scenes generally contain objects in motion. The local orientation of their contours and the direction of motion are two …
Wahiba Taouali
,
Giacomo Benvenuti
,
Frédéric Chavane
,
Laurent U Perrinet
PDF
Cite
DOI
Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit
Kiana Mansour-Pour
,
Laurent U Perrinet
,
Guillaume S Masson
,
Anna Montagnini
Cite
URL
Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit
Kiana Mansour-Pour
,
Laurent U Perrinet
,
Guillaume S Masson
,
Anna Montagnini
Cite
URL
Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit
Kiana Mansour-Pour
,
Laurent U Perrinet
,
Guillaume S Masson
,
Anna Montagnini
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URL
Motion-based prediction with neuromorphic hardware
We stand at a point in history where our phones have become smart but lack a feature which prevails in most forms of living …
Laurent U Perrinet
2015-11-05
Behavioural Neuroscience
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NeuroAI & Machine Learning
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Sparse Models for Computer Vision
The representation of images in the brain is known to be sparse. That is, as neural activity is recorded in a visual area, for instance …
Laurent U Perrinet
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arXiv
Visual motion processing and human tracking behavior
Appeared in this book: Gabriel Cristóbal, Laurent U Perrinet, Matthias S Keil (2015). Biologically Inspired Computer Vision. Cite DOI …
Anna Montagnini
,
Laurent U Perrinet
,
Guillaume S Masson
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arXiv
Motion-based prediction with neuromorphic hardware
We stand at a point in history where our phones have become smart but lack a feature which prevails in most forms of living …
Laurent U Perrinet
2015-10-07
Behavioural Neuroscience
,
NeuroAI & Machine Learning
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Anticipatory smooth eye movements and reinforcement
When an object is moving in the visual field, we are able to accurately track it with a combination of saccades and smooth eye …
Jean-Bernard Damasse
,
Laurent Madelain
,
Laurent U Perrinet
,
Anna Montagnini
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Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences
Oriented edges in images of natural scenes tend to be aligned in co-linear or co-circular arrangements, with lines and smooth curves …
Laurent U Perrinet
,
James A Bednar
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CODDE (2008/2012)
CODDE: understanding brain and behaviour (2008/2012).
Behavioural Neuroscience
,
Computational Neuroscience
,
NeuroAI & Machine Learning
PACE-ITN (2015/2019)
PACE-ITN: ITN Marie Curie network (2015/2019).
Anna Montagnini
,
Laurent U Perrinet
Behavioural Neuroscience
,
NeuroAI & Machine Learning
Edge co-occurrences can account for rapid categorization of natural versus animal images
Making a judgment about the semantic category of a visual scene, such as whether it contains an animal, is typically assumed to involve …
Laurent U Perrinet
,
James A Bednar
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HAL
Active inference, eye movements and oculomotor delays
This paper considers the problem of sensorimotor delays in the optimal control of (smooth) eye movements under uncertainty. …
Laurent U Perrinet
,
Rick A Adams
,
Karl Friston
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arXiv
Beyond simply faster and slower: exploring paradoxes in speed perception
Estimating object speed in visual scenes is a critical part of perception. While various aspects of speed computation including …
Andrew Isaac Meso
,
Claudio Simoncini
,
Laurent U Perrinet
,
Guillaume S Masson
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URL
Edge co-occurrences are sufficient to categorize natural versus animal images
Analysis and interpretation of a visual scene to extract its category, such as whether it contains an animal, is typically assumed to …
Laurent U Perrinet
,
James A Bednar
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DOI
URL
Motion-based prediction model for flash lag effect
The flash lag effect (FLE) is a well known visual illusion that reveals the perceptual difference in position coding of moving and …
Mina A Khoei
,
Laurent U Perrinet
,
Guillaume S Masson
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The characteristics of microsaccadic eye movements varied with the change of strategy in a match-to-sample task
Under natural viewing conditions, large eye movements are interspace by small eye movements (microsaccade). Recent works have shown …
Claudio Simoncini
,
Anna Montagnini
,
Laurent U Perrinet
,
Guillaume S Masson
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Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network
As it is confronted to inherent neural delays, how does the visual system create a coherent representation of a rapidly changing …
Bernhard a Kaplan
,
Mina A Khoei
,
Anders Lansner
,
Laurent U Perrinet
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WP5 - Demo 1.3 : Spiking model of motion-based prediction
The question how the visual system is able to create a coherent representation of a rapidly changing environment in the presence of …
Laurent U Perrinet
,
Bernhard a Kaplan
,
Mina A Khoei
,
Anders Lansner
,
Guillaume S Masson
2014-03-20
Behavioural Neuroscience
,
Biological Neuroscience
,
NeuroAI & Machine Learning
,
Theoretical Neuroscience
,
Visual Neuroscience
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Axonal delays and on-time control of eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
Laurent U Perrinet
2014-01-10
Behavioural Neuroscience
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Biological Neuroscience
,
Computational Neuroscience
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NeuroAI & Machine Learning
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