Motion-Perception

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

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

Compensation of oculomotor delays in the visual system's network

Laurent U Perrinet, Rick A Adams, Karl Friston

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

Motion-based prediction with neuromorphic hardware

Visual motion processing and human tracking behavior

Anna Montagnini, Laurent U Perrinet, Guillaume S Masson

Motion-based prediction with neuromorphic hardware

Anticipatory smooth eye movements and reinforcement

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

CODDE (2008/2012)

PACE-ITN (2015/2019)

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

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

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

2014-04-17: Soutenance d'habilitation à diriger des recherches (HDR)

WP5 - Demo 1.3 : Spiking model of motion-based prediction

Dynamic Textures For Probing Motion Perception

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

Demo 1, Task4: Implementation of models showing emergence of cortical fields and maps

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

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

Why methods and tools are the key to artificial brain-like systems

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

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

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

Apparent motion in V1 - Probabilistic approaches

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

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

Active inference, smooth pursuit and oculomotor delays

Laurent U Perrinet, Rick A Adams, Karl Friston

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

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

Pursuing motion illusions: a realistic oculomotor framework for Bayesian inference

Amarender Bogadhi, Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, 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

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

A recurrent Bayesian model of dynamic motion integration for smooth pursuit

Amarender Bogadhi, Anna Montagnini, Pascal Mamassian, 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

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

Reading out the dynamics of lateral interactions in the primary visual cortex from VSD data

Decoding low-level neural information to track visual motion

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

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

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

Bayesian modeling of dynamic motion integration

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

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

Visual tracking of ambiguous moving objects: A recursive Bayesian model

Anna Montagnini, Pascal Mamassian, Laurent U Perrinet, 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, 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

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

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