MotionClouds are random dynamic stimuli optimized to study motion perception.

In particular, these stimuli can be made closer to naturalistic textures compared to usual stimuli such as gratings and random-dot kinetograms. These have controlled information content: We simplified the definition to parametrically define these "Motion Clouds" around the most prevalent feature axis (mean and bandwith): direction, scale (spatial frequency), orientation. These scripts implement a framework to generate these random texture movies.