Biologically Inspired Dynamic Textures for Probing Motion Perception

no code implementations • NeurIPS 2015 • Jonathan Vacher, Andrew Meso, Laurent U. Perrinet, Gabriel Peyré

We study here the principled construction of a generative model specifically crafted to probe motion perception.

Bayesian Inference

Bayesian Modeling of Motion Perception using Dynamical Stochastic Textures

no code implementations • 2 Nov 2016 • Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré

We use the dynamic texture model to psychophysically probe speed perception in humans using zoom-like changes in the spatial frequency content of the stimulus.

Bayesian Inference Texture Synthesis

From biological vision to unsupervised hierarchical sparse coding

no code implementations • 4 Dec 2018 • Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U. Perrinet

The formation of connections between neural cells is emerging essentially from an unsupervised learning process.