Speed uncertainty and motion perception with naturalistic random textures

Supplementary Videos to : Motion Clouds: 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.

Choosing an appropriate set of stimuli is essential to characterize the response of a sensory system to a particular functional dimension, such as the eye movement following the motion of a visual scene. Here, we describe a framework to generate random texture movies with controlled information content, i.e., Motion Clouds. These stimuli are defined using a generative model that is based on con...

Innovative Methodology Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception

Sanz Leon P, Vanzetta I, Masson GS, Perrinet LU. Motion clouds: model-based stimulus synthesis of natural-like random textures for the study of motion perception. J Neurophysiol 107: 3217–3226, 2012. First published March 14, 2012; doi:10.1152/jn.00737.2011.—Choosing an appropriate set of stimuli is essential to characterize the response of a sensory system to a particular functional dimension,...

Biologically Inspired Dynamic Textures for Probing Motion Perception

Perception is often described as a predictive process based on an optimal inference with respect to a generative model. We study here the principled construction of a generative model specifically crafted to probe motion perception. In that context, we first provide an axiomatic, biologically-driven derivation of the model. This model synthesizes random dynamic textures which are defined by sta...

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 optimal inference with respect to a generative model. The present study details the complete formulation of such a generative model intended to probe visual motion perception. It is first derived in a set of axiomatic steps constrained by biological plausibility. We ...