Format

Send to

Choose Destination
J Neurophysiol. 2012 Jun;107(11):3217-26. doi: 10.1152/jn.00737.2011. Epub 2012 Mar 14.

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

Author information

1
Institut de Neurosciences de la Timone, Centre National de la Recherche Scientifique/Aix-Marseille University, Marseille, France.

Abstract

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 controlled experimental parametrization. We show that Motion Clouds correspond to dense mixing of localized moving gratings with random positions. Their global envelope is similar to natural-like stimulation with an approximate full-field translation corresponding to a retinal slip. We describe the construction of these stimuli mathematically and propose an open-source Python-based implementation. Examples of the use of this framework are shown. We also propose extensions to other modalities such as color vision, touch, and audition.

PMID:
22423003
DOI:
10.1152/jn.00737.2011
[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for Atypon
Loading ...
Support Center