Document Detail

Motion Clouds: Model-based stimulus synthesis of natural-like random textures for the study of motion perception.
MedLine Citation:
PMID:  22423003     Owner:  NLM     Status:  Publisher    
Choosing the right set of stimuli is essential in order 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 are defined using a generative model of stimulus based on controlled experimental parameterization. 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.
Paula Sanz Leon; Ivo Vanzetta; Guillaume S Masson; Laurent U Perrinet
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-3-14
Journal Detail:
Title:  Journal of neurophysiology     Volume:  -     ISSN:  1522-1598     ISO Abbreviation:  -     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-3-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0375404     Medline TA:  J Neurophysiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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