Motion Clouds

Motion Clouds

Motion Clouds are random, textured dynamical stimuli synthesized such as to challenge spatio-temporal integration properties of the early visual system. Unlike classical low-entropy stimuli such as gratings, these stimuli are less susceptible to create interference patterns when mixed together. This is essential to study integrative and discriminative properties of the low-level sensory systems. Moreover, this pseudo-random stimulation protocol allows to make a trial-by-trial analysis locked to the stimulation onset. This allows to study experimentally trial-by-trial variability and relative importance between measurement noise and contextual uncertainty.

This is a first step before extending synthesis to probabilistic synthesis models of the texture's geometric structure. The model will use geometrical multi-scale transformations extending the classical wavelet representation. For instance, these transformations synthesize the stimuli as randomized superposition of geometrical wavelets that match the spatio-temporal profile of association fields in V1. These will be implemented by computing evolutions of partial differential equations with randomized initial conditions. Finally, models are designed such that we explicitly tune the statistics of the generative model and thus control the structural complexity of the stimuli, such as different scales of smoothness in the spatio-temporal dynamics as displayed by natural scenes.

Web-site

http://www.motionclouds.invibe.net

Source code

https://github.com/NeuralEnsemble/MotionClouds

List of pages in this category:

Name Object
JeanSpezia Jean Spezia
Presentations/12-03-22_Juelich Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception
Presentations/13-03-21_Marseille Why methods and tools are the key to artificial brain-like systems
Publications/Khoei14thesis Une approche computationnelle de la dépendance au mouvement du codage de la position dans la système visuel
Publications/Khoei14vss Motion-based prediction model for flash lag effect
Publications/Mansour16ecvp Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit
Publications/Mansour16gdr Voluntary tracking the moving clouds : Effects of speed variability on human smooth pursuit
Publications/Mansour16sfn Voluntarily tracking moving clouds: Effects of spatial frequency bandwidth on human smooth pursuit
Publications/Meso13vss How and why do image frequency properties influence perceived speed?
Publications/Meso14vss Beyond simply faster and slower: exploring paradoxes in speed perception
Publications/Sanz12 Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception
Publications/Simoncini10vss Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation
Publications/Simoncini11ecem Ocular Following Response for natural-statistic visual stimuli
Publications/Simoncini12Pattern Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize
Publications/Simoncini12 More is not always better: dissociation between perception and action explained by adaptive gain control
Publications/Simoncini12coding Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception
Publications/Simoncini12vss Effect of image statistics on fixational eye movements
Publications/Simoncini13vss Measuring speed of moving textures: Different temporal integration for ocular following and speed perception
Publications/Simoncini14vss The characteristics of microsaccadic movements varied with the change of strategy in a match-to-sample task
Publications/Vacher14ihp Dynamic Textures For Probing Motion Perception
Publications/Vacher15icms A Mathematical Account of Dynamic Texture Synthesis for Probing Visual Perception
Publications/Vacher15nips Biologically Inspired Dynamic Textures for Probing Motion Perception
Publications/Vacher16 Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures
Software/MotionClouds Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception
TagAnrBalaV1 ANR BalaV1: Balanced states in area V1 (2013--2016)
TagAnrRem ANR REM : Renforcement et mouvements oculaires (2013--2016)
TagAnrSpeed ANR SPEED: Traitement de la vitesse dans les scènes visuelles naturelles (2013--2016)
TagAnrTRAJECTORY ANR TRAJECTORY (2016--2019)

TagTag TagMotion TagMotionClouds

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