Publications

A saccade-inspired approach to image classification using vision transformer attention maps

Matthis Dallain, Laurent Rodriguez, Laurent U Perrinet, Benoît Miramond

Physiological state Monitoring: a Riemannian Geometry based-model

A Choplin, T Rakotomamonjy, Laurent U Perrinet, N Lantos, S Angelliaume

Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays

Thomas Kronland-Martinet, Stéphane Viollet, Laurent U Perrinet

Detection of spiking motifs of arbitrary length in neural activity using bounded synaptic delays

Thomas Kronland-Martinet, Stéphane Viollet, Laurent U Perrinet

Foveal Retinotopy and Dual Pathways: A Computational Model for Active Visual Search

Jean-Nicolas Jérémie

DynTex: A Real-Time Generative Model of Dynamic Naturalistic Luminance Textures

Andrew Isaac Meso, Jonathan Vacher, Nikos Gekas, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson

A Predictive Approach to Enhance Time-Series Forecasting

Skye Gunasekaran, Assel Kembay, Hugo Ladret, Rui-Jie Zhu, Laurent Perrinet, Omid Kavehei, Jason Eshraghian

Foveated Retinotopy Improves Classification and Localization in CNNs

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Robust Unsupervised Learning of Spike Patterns with Optimal Transport Theory

Antoine Grimaldi, Matthieu Gilson, Laurent U Perrinet, Andrea Alamia, Boris Sotomayor-Gomez, Martin Vinck

Population decoding of visual motion direction in V1 marmoset monkey : effects of uncertainty

Alexandre Lainé, Sophie Denève, Nicholas J. Priebe, Guillaume S. Masson, Laurent U Perrinet

Integrating the What and Where Visual Pathways to Improve CNN Categorisation

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Classification of Mental Workload Spatial Effects using Riemannian Manifold

A Choplin, T Rakotomamonjy, Laurent U Perrinet, N Lantos, S Angelliaume

A Robust Event-Driven Approach to Always-on Object Recognition

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U Perrinet

An open-source vision-science tool for the auto-regressive generation of dynamic stochastic textures Motion Clouds

Nikos Gekas, Andrew Isaac Meso, Jonathan Vacher, Laurent U APerrinet, Pascal Mamassian, Guillaume S Masson

Le mystère de la Joconde éclairé par les neurosciences

Laurent U Perrinet, Hugo Ladret

Kernel Heterogeneity Improves Sparseness of Natural Images Representations

Hugo Ladret, Christian Casanova, Laurent U Perrinet

Self-Supervised Learning of Spiking Motifs in Neurobiological Data

Adrien Fois, Laurent U Perrinet

Retinotopy in CNN's implements Efficient Visual Search

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Diverse Neuronal Responses to Visual Precision in Cat Cortical Area 21a: Unraveling the Complexity of Orientation Processing

Nelson Cortes, Lamyae Ikan, Hugo Ladret, Laurent U Perrinet, Christian Casanova

Accurate Detection of Spiking Motifs in Neurobiological Data by Learning Heterogeneous Delays of a Spiking Neural Network

Laurent U Perrinet

Vision dynamique utilisant la précision temporelle des motifs d'impulsions dans les calculs neuronaux

Antoine Grimaldi

Chats, mouches, humains : comment la vision a évolué en de multiples facettes

Laurent U Perrinet

Modélisation multi-échelle de la sélectivité à l'orientation dans les stimulations visuelles naturelles

Analyse Des Données Neurobiologiques Guidée Par La Modélisation

Alexandre Lainé

Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera

Urbano Miguel Nunes, Laurent U Perrinet, Sio-Hoi Ieng

Réseaux de Neurones Impulsionnels Pour La Vision Embarquée Basée Sur Les Événements

Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network

Laurent U Perrinet

Retinotopy improves the categorisation and localisation of visual objects in CNNs

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Beyond $\ell_1$ sparse coding in V1

Ilias Rentzeperis, Luca Calatroni, Laurent U Perrinet, Dario Prandi

Learning heterogeneous delays in a layer of spiking neurons for fast motion detection

Antoine Grimaldi, Laurent U Perrinet

Retinotopy in CNN's implements Efficient Visual Search

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Cortical recurrence supports resilience to sensory variance in the primary visual cortex

Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet

Convolutional Sparse Coding is improved by heterogeneous uncertainty modeling

Hugo Ladret, Laurent U Perrinet

Ultra-Fast Image Categorization in biology and in neural models

Jean-Nicolas Jérémie, Laurent U Perrinet

Resilience to sensory uncertainty in the primary visual cortex

Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet

Learning heterogeneous delays of spiking neurons for motion detection

Antoine Grimaldi, Laurent U Perrinet

Stakes of Neuromorphic Foveation: a promising future for embedded event cameras

Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent U Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

Retinotopy improves the categorisation and localisation of visual objects in CNNs

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Formes et perception

Laurent U Perrinet

Precise spiking motifs in neurobiological and neuromorphic data

Antoine Grimaldi, Amélie Gruel, Camille Besnainou, Jean-Nicolas Jérémie, Jean Martinet, Laurent U Perrinet

Learning heterogeneous delays of spiking neurons for motion detection

Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet

Detection of precise spiking motifs using spike-time dependent weight and delay plasticity

Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet

Pooling in a predictive model of V1 explains functional and structural diversity across species

Victor Boutin, Angelo Franciosini, Frédéric Chavane, Laurent U Perrinet

Learning heterogeneous delays of spiking neurons for motion detection

Antoine Grimaldi, Laurent U Perrinet

Recurrent cortical connectivity in the primary visual cortex supports robust encoding of natural sensory inputs

Hugo Ladret, Laurent U Perrinet

Ultra-rapid visual search in natural images using active deep learning

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Which sparsity problem does the brain solve?

Ilias Rentzeperis, Luca Calatroni, Laurent U Perrinet, Dario Prandi

Ultra-rapid visual search in natural images using active deep learning

Jean-Nicolas Jérémie, Emmanuel Daucé, Laurent U Perrinet

Decoding spiking motifs using neurons with heterogeneous delays

Antoine Grimaldi, Camille Besnainou, Hugo Ladret, Laurent U Perrinet

A resilient neural code in V1 to process natural images

Hugo Ladret, Laurent U Perrinet

Revisiting Horizontal Connectivity Rules in V1: From like-to-like towards like-to-All

Frédéric Chavane, Laurent U Perrinet, James Rankin

What You See Is What You Transform: Foveated Spatial Transformers as a Bio-Inspired Attention Mechanism

Ghassan Dabane, Laurent U Perrinet, Emmanuel Daucé

A Behavioral Receptive Field for Ocular Following in Monkeys: Spatial Summation and Its Spatial Frequency Tuning

Frédéric v Barthélemy, Jérome Fleuriet, Laurent U Perrinet, Guillaume S Masson

Ultra-fast categorization of images containing animals in vivo and in computo

Jean-Nicolas Jérémie, Laurent U Perrinet

Decoding orientation distributions from noisy observations in V1

Hugo Ladret, Laurent U Perrinet

From event-based computations to a bio-plausible Spiking Neural Network

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Ryad Benosman, Laurent U Perrinet

SDPC : A Sparse and Predictive Model of the Early Visual System

Angelo Franciosini

Simulating anticipatory activity in a 1D Spiking Neural Network Model

Alberto Arturo Vergani, Laurent U Perrinet

A homeostatic gain control mechanism to improve event-driven object recognition

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Laurent U Perrinet, Ryad Benosman

A robust bio-inspired approach to event-driven object recognition

Antoine Grimaldi, Victor Boutin, Sio-Hoi Ieng, Laurent U Perrinet, Ryad Benosman

Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system

Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet

Modulation of orientation selectivity by orientation precision

Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, Laurent U Perrinet

Le jeu du cerveau et du hasard

Laurent U Perrinet

Visual search as active inference

Emmanuel Daucé, Laurent U Perrinet

Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding

Angelo Franciosini, Victor Boutin, Laurent U Perrinet

A dual foveal-peripheral visual processing model implements efficient saccade selection

Emmanuel Daucé, Pierre Albigès, Laurent U Perrinet

Modelling Complex-cells and topological structure in the visual cortex of mammals using Sparse Predictive Coding

Angelo Franciosini, Victor Boutin, Laurent U Perrinet

Etude d’un Algorithme Hiérarchique de Codage Épars et Prédictif : Vers Un Modèle Bio-Inspiré de La Perception Visuelle

Effect of top-down connections in Hierarchical Sparse Coding

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet

Humans adapt their anticipatory eye movements to the volatility of visual motion properties

Chloé Pasturel, Anna Montagnini, Laurent U Perrinet

La vision comme processus prédictif: Une approche bio-mimétique

Laurent U Perrinet

Learning dynamics in a neural network model of the primary visual cortex

Hugo Ladret, Laurent U Perrinet

From the retina to action: Dynamics of predictive processing in the visual system

Laurent U Perrinet

Anticipatory Responses along Motion Trajectories in Awake Monkey Area V1

Giacomo Benvenuti, Sandrine Chemla, Arjan Boonman, Laurent U Perrinet, Guillaume S Masson, Frédéric Chavane

A dynamic model for decoding direction and orientation in macaque primary visual cortex

Wahiba Taouali, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet

Effet de La Variabilité de La Vitesse Sur Le Mouvement de Poursuite Oculaire Lente et Sur La Perception de La Vitesse

Kiana Mansour-Pour

Suppressive waves disambiguate the representation of long-range apparent motion in awake monkey V1

Sandrine Chemla, Alexandre Reynaud, Matteo DiVolo, Yann Zerlaut, Laurent U Perrinet, Alain Destexhe, Frédéric Chavane

Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system

Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet

Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli

Cesar U Ravello, Laurent U Perrinet, Maria-José Escobar, Adrián G Palacios

Top-down connection in Hierarchical Sparse Coding

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet

Temps et cerveau : comment notre perception nous fait voyager dans le temps

Laurent U Perrinet

Sparse Deep Predictive Coding to model visual object recognition

Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet

Orientation selectivity to synthetic natural patterns in a cortical-like model of the cat primary visual cortex

Hugo Ladret, Nelson Cortes, Frédéric Chavane, Laurent U Perrinet, Christian Casanova

Modelling Complex Cells of Early Visual Cortex using Predictive Coding

Angelo Franciosini, Victor Boutin, Laurent U Perrinet

Illusions et hallucinations visuelles : une porte sur la perception

Laurent U Perrinet

An adaptive homeostatic algorithm for the unsupervised learning of visual features

Laurent U Perrinet

A hierarchical, multi-layer convolutional sparse coding algorithm based on predictive coding

Angelo Franciosini, Victor Boutin, Laurent U Perrinet

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré

Reinforcement effects in anticipatory smooth eye movements

Jean-Bernard Damasse, Laurent U Perrinet, Laurent Madelain, Anna Montagnini

Smooth Pursuit Eye Movements and Learning : Role of Motion Probability and Reinforcement Contingencies

Jean-Bernard Damasse

Unsupervised Hierarchical Sparse Coding algorithm inspired by Biological Vision

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet

Speed uncertainty and motion perception with naturalistic random textures

Kiana Mansour-Pour, Nikos Gekas, Pascal Mamassian, Laurent U Perrinet, Anna Montagnini, Guillaume S Masson

Selectivity to oriented patterns of different precisions

Hugo Ladret, Laurent U Perrinet

On the Origins of Hierarchy in Visual Processing

Angelo Franciosini, Laurent U Perrinet

M2APix: a bio-inspired auto-adaptive visual sensor for robust ground height estimation

Julien Dupeyroux, Victor Boutin, Julien R Serres, Laurent U Perrinet, Stéphane Viollet

From biological vision to unsupervised hierarchical sparse coding

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet

Estimating and anticipating a dynamic probabilistic bias in visual motion direction

Chloé Pasturel, Anna Montagnini, Laurent U Perrinet

Estimating and anticipating a dynamic probabilistic bias in visual motion direction

Laurent U Perrinet, Chloé Pasturel, Anna Montagnini

ANEMO: Quantitative tools for the ANalysis of Eye MOvements

Chloé Pasturel, Anna Montagnini, Laurent U Perrinet

A low-cost, accessible eye tracking framework

Laurent U Perrinet

The flash-lag effect as a motion-based predictive shift

Mina A Khoei, Guillaume S Masson, Laurent U Perrinet

Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini

How the dynamics of human smooth pursuit is influenced by speed uncertainty

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini

Expériences autour de la perception de la forme en art et science

Laurent U Perrinet, Etienne Rey

Estimating and anticipating a dynamic probabilistic bias in visual motion direction

Chloé Pasturel, Jean-Bernard Damasse, Anna Montagnini, Laurent U Perrinet

Efficient learning of sparse image representations using homeostatic regulation

Victor Boutin, Franck Ruffier, Laurent U Perrinet

Efficient learning of sparse image representations using homeostatic regulation

Victor Boutin, Franck Ruffier, Laurent U Perrinet

Dynamic modulation of volatility by reward contingencies: effects on anticipatory smooth eye movement

Jean-Bernard Damasse, Anna Montagnini, Laurent U Perrinet

Controlling an aerial robot with human gestures using bio-inspired algorithm

Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet

Differential response of the retinal neural code with respect to the sparseness of natural images

Cesar U Ravello, Maria-José Escobar, Adrián G Palacios, Laurent U Perrinet

Biologically-inspired characterization of sparseness in natural images

Laurent U Perrinet

Operant reinforcement versus reward expectancy: effects on anticipatory eye movements

Jean-Bernard Damasse, Laurent U Perrinet, Jérémie Jozefowiez, Laurent Madelain, Anna Montagnini

Testing the odds of inherent vs. observed overdispersion in neural spike counts

Wahiba Taouali, Giacomo Benvenuti, Pascal Wallisch, Frédéric Chavane, Laurent U Perrinet

Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini

Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini

Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit

Kiana Mansour-Pour, Laurent U Perrinet, Guillaume S Masson, Anna Montagnini

Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1

Jens Kremkow, Laurent U Perrinet, Cyril Monier, Jose-Manuel Alonso, Ad M Aertsen, Yves Frégnac, Guillaume S Masson

Modeling the effect of dynamic contingencies on anticipatory eye movements

Jean-Bernard Damasse, Anna Montagnini, Laurent U Perrinet

Effects of motion predictability on anticipatory and visually-guided eye movements: a common prior for sensory processing and motor control?

Anna Montagnini, Jean-Bernard Damasse, Laurent U Perrinet, Guillaume S Masson

Compensation of oculomotor delays in the visual system's network

Laurent U Perrinet, Rick A Adams, Karl Friston

A dynamic model for decoding direction and orientation in macaque primary visual cortex

Wahiba Taouali, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet

A dynamic model for decoding direction and orientation in macaque primary visual cortex

Wahiba Taouali, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet

Visual motion processing and human tracking behavior

Anna Montagnini, Laurent U Perrinet, Guillaume S Masson

Sparse Models for Computer Vision

Laurent U Perrinet

Gabriel Cristóbal, Laurent U Perrinet, Matthias S Keil

Biologically Inspired Computer Vision

Gabriel Cristóbal, Laurent U Perrinet, Matthias S Keil

Anticipatory smooth eye movements and reinforcement

Jean-Bernard Damasse, Laurent Madelain, Laurent U Perrinet, Anna Montagnini

Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences

Laurent U Perrinet, James A Bednar

Spatiotemporal tuning of retinal ganglion cells dependent on the context of signal presentation

Cesar U Ravello, F. Olivares, R. Herzog, Laurent U Perrinet, Maria-José Escobar, Adrián G Palacios

On overdispersion in neuronal evoked activity

Wahiba Taouali, Giacomo Benvenuti, Pascal Wallisch, Frédéric Chavane, Laurent U Perrinet

Eye tracking a self-moved target with complex hand-target dynamics

Fréderic Danion, Caroline Landelle, Anna Montagnini, Laurent U Perrinet, Laurent Madelain

Edge co-occurrences can account for rapid categorization of natural versus animal images

Laurent U Perrinet, James A Bednar

Biologically Inspired Dynamic Textures for Probing Motion Perception

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré

Anticipatory smooth eye movements as operant behavior

Jean-Bernard Damasse, Laurent Madelain, Laurent U Perrinet, Anna Montagnini

Anticipating a moving target: role of vision and reinforcement

Anna Montagnini, Jean-Bernard Damasse, Laurent U Perrinet, Laurent Madelain

A Mathematical Account of Dynamic Texture Synthesis for Probing Visual Perception

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré

Active inference, eye movements and oculomotor delays

Laurent U Perrinet, Rick A Adams, Karl Friston

Une Approche Computationnelle de La Dépendance Au Mouvement Du Codage de La Position Dans La Système Visuel

Mina Aliakbari Khoei

The characteristics of microsaccadic eye movements varied with the change of strategy in a match-to-sample task

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Guillaume S Masson

Motion-based prediction model for flash lag effect

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson

Edge co-occurrences are sufficient to categorize natural versus animal images

Laurent U Perrinet, James A Bednar

Beyond simply faster and slower: exploring paradoxes in speed perception

Andrew Isaac Meso, Claudio Simoncini, Laurent U Perrinet, Guillaume S Masson

Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network

Bernhard a Kaplan, Mina A Khoei, Anders Lansner, Laurent U Perrinet

Codage prédictif dans les transformations visuo-motrices

Laurent U Perrinet

Relationship between natural image statistics and lateral connectivity in the primary visual cortex

P Philipp Rudiger, Jean-Luc Stevens, Bharath Chandra Talluri, Laurent U Perrinet, James A Bednar

On the nature of anticipatory eye movements and the factors affecting them

Jean-Bernard Damasse, Laurent Madelain, Laurent U Perrinet, Anna Montagnini

Dynamic Textures For Probing Motion Perception

Jonathan Vacher, Andrew Isaac Meso, Laurent U Perrinet, Gabriel Peyré

A Simple Model of Orientation Encoding Accounting For Multivariate Neural Noise

Wahiba Taouali, Laurent U Perrinet

A Simple Model of Orientation Encoding Accounting For Multivariate Neural Noise

Wahiba Taouali, Laurent U Perrinet

Motion-based prediction explains the role of tracking in motion extrapolation

Mina A Khoei, Guillaume S Masson, Laurent U Perrinet

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Bernhard a Kaplan, Anders Lansner, Guillaume S Masson, Laurent U Perrinet

Motion-based prediction and development of the response to an 'on the way' stimulus

Mina A Khoei, Giacomo Benvenuti, Frédéric Chavane, Laurent U Perrinet

Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Guillaume S Masson

How and why do image frequency properties influence perceived speed?

Andrew Isaac Meso, Claudio Simoncini, Laurent U Perrinet, Guillaume S Masson

Advances in Texture Analysis for Emphysema Classification

Rodrigo Nava, J Victor Marcos, Boris Escalante-Ramirez, Gabriel Cristóbal, Laurent U Perrinet, Raúl S J Estépar

Active inference, eye movements and oculomotor delays

Laurent U Perrinet, Rick A Adams, Karl Friston

Active inference, eye movements and oculomotor delays

Laurent U Perrinet, Rick A Adams, Karl Friston

Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia

Rick A Adams, Laurent U Perrinet, Karl Friston

Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Pascal Mamassian, Guillaume S Masson

The behavioral receptive field underlying motion integration for primate tracking eye movements

Guillaume S Masson, Laurent U Perrinet

Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception

Paula Sanz Leon, Ivo Vanzetta, Guillaume S Masson, Laurent U Perrinet

Role of motion-based prediction in motion extrapolation

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson

Perceptions as Hypotheses: Saccades as Experiments

Karl Friston, Rick A Adams, Laurent U Perrinet, Michael Breakspear

Motion-based prediction is sufficient to solve the aperture problem

Laurent U Perrinet, Guillaume S Masson

Motion-based prediction is sufficient to solve the aperture problem

Guillaume S Masson, Laurent U Perrinet

More is not always better: dissociation between perception and action explained by adaptive gain control

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson

Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception.

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson

Effect of image statistics on fixational eye movements

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Guillaume S Masson

Complex dynamics in recurrent cortical networks based on spatially realistic connectivities

Nicole Voges, Laurent U Perrinet

Active inference, smooth pursuit and oculomotor delays

Laurent U Perrinet, Rick A Adams, Karl Friston

Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, Pascal Mamassian, Guillaume S Masson

Qui créera le premier ordinateur intelligent?

Laurent U Perrinet

Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference

Amarender Bogadhi, Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson

Saccadic foveation of a moving visual target in the rhesus monkey

Jérôme Fleuriet, Sandrine Hugues, Laurent U Perrinet, Laurent Goffart

Role of motion inertia in dynamic motion integration for smooth pursuit

Mina A Khoei, Laurent U Perrinet, Amarender Bogadhi, Anna Montagnini, Guillaume S Masson

Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1

Laurent U Perrinet, David Fitzpatrick, James A Bednar

Phase space analysis of networks based on biologically realistic parameters

Nicole Voges, Laurent U Perrinet

Role of homeostasis in learning sparse representations

Laurent U Perrinet

Functional consequences of correlated excitatory and inhibitory conductances in cortical networks

Jens Kremkow, Laurent U Perrinet, Guillaume S Masson, Ad M Aertsen

Probabilistic models of the low-level visual system: the role of prediction in detecting motion

Laurent U Perrinet

Phase space analysis of networks based on biologically realistic parameters

Nicole Voges, Laurent U Perrinet

Dynamical emergence of a neural solution for motion integration

Laurent U Perrinet, Guillaume S Masson

Dynamical emergence of a neural solution for motion integration

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson

Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation

Claudio Simoncini, Laurent U Perrinet, Anna Montagnini, Pascal Mamassian, Guillaume S Masson

Computational Neuroscience, from Multiple Levels to Multi-level

Emmanuel Daucé, Laurent U Perrinet

A recurrent Bayesian model of dynamic motion integration for smooth pursuit

Amarender Bogadhi, Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson

NeuralEnsemble: Towards a meta-environment for network modeling and data analysis

Pierre Yger, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Dejan Pecevski, Laurent U Perrinet, Michael Schmuker, Eilif Muller, Andrew P Davison

Inferring monkey ocular following responses from V1 population dynamics using a probabilistic model of motion integration

Laurent U Perrinet, Alexandre Reynaud, Frédéric Chavane, Guillaume S Masson

Functional consequences of correlated excitation and inhibition on single neuron integration and signal propagation through synfire chains

Jens Kremkow, Laurent U Perrinet, Guillaume S Masson, Ad M Aertsen

Dynamics of cortical networks including long-range patchy connections

Nicole Voges, Laurent U Perrinet

Dynamical state spaces of cortical networks representing various horizontal connectivities

Nicole Voges, Laurent U Perrinet

Decoding center-surround interactions in population of neurons for the ocular following response

Laurent U Perrinet, Nicole Voges, Jens Kremkow, Guillaume S Masson

Correlating Excitation and Inhibition in Visual Cortical Circuits : Functional Consequences and Biological Feasibility

Jens Oliver Kremkow

Proceedings of the second french conference on Computational Neuroscience, Marseille

Laurent U Perrinet, Emmanuel Daucé

Functional properties of feed-forward inhibition

Jens Kremkow, Laurent U Perrinet, Ad M Aertsen, Guillaume S Masson

Analyzing cortical network dynamics with respect to different connectivity assumptions

Nicole Voges, Laurent U Perrinet

Dynamics of distributed 1D and 2D motion representations for short-latency ocular following

Frédéric v Barthélemy, Laurent U Perrinet, Eric Castet, Guillaume S Masson

What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells

Laurent U Perrinet

PyNN: A Common Interface for Neuronal Network Simulators

Andrew P Davison, Daniel Bruderle, Jochen Eppler, Jens Kremkow, Eilif Muller, Dejan Pecevski, Laurent U Perrinet, Pierre Yger

Modeling spatial integration in the ocular following response to center-surround stimulation using a probabilistic framework

Laurent U Perrinet, Guillaume S Masson

Dynamics of cortical networks based on patchy connectivity patterns

Nicole Voges, Jens Kremkow, Laurent U Perrinet

Decoding the population dynamics underlying ocular following response using a probabilistic framework

Laurent U Perrinet, Guillaume S Masson

Control of the temporal interplay between excitation and inhibition by the statistics of visual input: a V1 network modelling study

Jens Kremkow, Laurent U Perrinet, Pierre Baudot, Manu Levy, Olivier Marre, Cyril Monier, Yves Frégnac, Guillaume S Masson, Ad M Aertsen

Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images

Laurent U Perrinet

Synchrony in thalamic inputs enhances propagation of activity through cortical layers

Jens Kremkow, Laurent U Perrinet, Arvind Kumar, Ad M Aertsen, Guillaume S Masson

Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision

Bruno Cessac, Emmanuel Daucé, Laurent U Perrinet, Manuel Samuelides

Introduction to Topics in Dynamical Neural Networks: From Large Scale Neural Networks to Motor Control and Vision

Bruno Cessac, Emmanuel Daucé, Laurent U Perrinet, Manuel Samuelides

Dynamical Neural Networks: modeling low-level vision at short latencies

Laurent U Perrinet

Self-Invertible 2D Log-Gabor Wavelets

Sylvain Fischer, Filip Šroubek, Laurent U Perrinet, Rafael Redondo, Gabriel Cristóbal

Visual tracking of ambiguous moving objects: A recursive Bayesian model

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Guillaume S Masson

Sparse Approximation of Images Inspired from the Functional Architecture of the Primary Visual Areas

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal

PyNN: towards a universal neural simulator API in Python

Andrew P Davison, Pierre Yger, Jens Kremkow, Laurent U Perrinet, Eilif Muller

On efficient sparse spike coding schemes for learning natural scenes in the primary visual cortex

Laurent U Perrinet

Neural Codes for Adaptive Sparse Representations of Natural Images

Laurent U Perrinet

Modeling spatial integration in the ocular following response using a probabilistic framework

Laurent U Perrinet, Guillaume S Masson

Dynamic inference for motion tracking

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Eric Castet, Guillaume S Masson

Bayesian modeling of dynamic motion integration

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Eric Castet, Guillaume S Masson

Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework

Laurent U Perrinet, Frédéric v Barthélemy, Guillaume S Masson

Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework

Laurent U Perrinet, Jens Kremkow, Frédéric v Barthélemy, Guillaume S Masson, Frédéric Chavane

Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex

Laurent U Perrinet, Jens Kremkow

Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex

Laurent U Perrinet, Jens Kremkow

Contrast sensitivity adaptation in a virtual spiking retina and its adequation with mammalians retinas

Adrien Wohrer, Guillaume S Masson, Laurent U Perrinet, Pierre Kornprobst, Thierry Vieville

Bayesian modeling of dynamic motion integration

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, Eric Castet, Guillaume S Masson

An efficiency razor for model selection and adaptation in the primary visual cortex

Laurent U Perrinet

Modeling of simple cells through a sparse overcomplete gabor wavelet representation based on local inhibition and facilitation

Rafael Redondo, Sylvain Fischer, Laurent U Perrinet, Gabriel Cristóbal

Sparse Gabor wavelets by local operations

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal

Efficient Source Detection Using Integrate-and-Fire Neurons

Laurent U Perrinet

Efficient representation of natural images using local cooperation

Sylvain Fischer, Rafael Redondo, Laurent U Perrinet, Gabriel Cristóbal

Dynamics of motion representation in short-latency ocular following: A two-pathways Bayesian model

Laurent U Perrinet, Frédéric v Barthélemy, Eric Castet, Guillaume S Masson

Coding static natural images using spiking event times: do neurons cooperate?

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe

Feature detection using spikes : the greedy approach

Laurent U Perrinet

Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe

Finding Independent Components using spikes : a natural result of Hebbian learning in a sparse spike coding scheme

Laurent U Perrinet

Emergence of filters from natural scenes in a sparse spike coding scheme

Laurent U Perrinet, Manuel Samuelides, Simon Thorpe

Comment déchiffrer le code impulsionnel de la vision ? Étude du flux parallèle, asynchrone et épars dans le traitement visuel ultra-rapide

Laurent U Perrinet

Coherence detection in a spiking neuron via Hebbian learning

Laurent U Perrinet, Manuel Samuelides

Visual Strategies for Sparse Spike Coding

Laurent U Perrinet, Manuel Samuelides

Sparse Image Coding Using an Asynchronous Spiking Neural Network

Laurent U Perrinet, Manuel Samuelides

Network of integrate-and-fire neurons using Rank Order Coding B: spike timing dependant plasticity and emergence of orientation selectivity

Arnaud Delorme, Laurent U Perrinet, Simon Thorpe, Manuel Samuelides

Network of integrate-and-fire neurons using Rank Order Coding A: how to implement spike timing dependant plasticity

Laurent U Perrinet, Arnaud Delorme, Simon Thorpe, Manuel Samuelides

A generative model for Spike Time Dependent Hebbian Plasticity

Laurent U Perrinet, Manuel Samuelides

Apprentissage hebbien d'un reseau de neurones asynchrone a codage par rang

Laurent U Perrinet