Motion-Detection

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

Learning heterogeneous delays of spiking neurons for motion detection

Antoine Grimaldi, 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

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

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

Speed uncertainty and motion perception with naturalistic random textures

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

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

Mina A Khoei, Guillaume S Masson, Laurent U Perrinet

Estimating and anticipating a dynamic probabilistic bias in visual motion direction

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

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

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

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

A Mathematical Account of Dynamic Texture Synthesis for Probing Visual Perception

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

Biologically Inspired Dynamic Textures for Probing Motion 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

Beyond simply faster and slower: exploring paradoxes in speed perception

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

Motion-based prediction model for flash lag effect

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson

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

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

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

Axonal delays and on-time control of eye movements

Dynamic Textures For Probing Motion Perception

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

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

How and why do image frequency properties influence perceived speed?

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

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

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

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

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

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

Grabbing, tracking and sniffing as models for motion detection and eye movements

Motion-based prediction is sufficient to solve the aperture problem

Effect of image statistics on fixational eye movements

Claudio Simoncini, Anna Montagnini, Laurent U Perrinet, 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

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

Motion-based prediction is sufficient to solve the aperture problem

Guillaume S Masson, Laurent U Perrinet

Motion-based prediction is sufficient to solve the aperture problem

Laurent U Perrinet, Guillaume S Masson

Role of motion-based prediction in motion extrapolation

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson

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

Propriétés émergentes d'un modèle de prédiction probabiliste utilisant un champ neural

Saccadic foveation of a moving visual target in the rhesus monkey

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

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

Laurent U Perrinet, David Fitzpatrick, James A Bednar

Role of motion inertia in dynamic motion integration for smooth pursuit

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

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

Role of homeostasis in learning sparse representations

Laurent U Perrinet

Models of low-level vision: linking probabilistic models and neural masses

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

Dynamical emergence of a neural solution for motion integration

Mina A Khoei, Laurent U Perrinet, Guillaume S Masson

Dynamical emergence of a neural solution for motion integration

Laurent U Perrinet, Guillaume S Masson

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

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

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

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

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

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

Laurent U Perrinet, Guillaume S Masson

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

Laurent U Perrinet, Guillaume S Masson

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

Laurent U Perrinet

Dynamic inference for motion tracking

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

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

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

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

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

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