Decoding Natural Scenes


Supervisor
Diane M. Beck - PhD Associate Professor Department of Psychology Beckman Institute University of Illinois

Date and time
Friday, July 6, 2012 at 11:30 AM - Room “F” – Istituti Biologici

Contact person
Carlo Alberto Marzi

Publication date
June 26, 2012

Department
Neurosciences, Biomedicine and Movement Sciences  

Summary

Abstract: Human beings are surprisingly adept at extracting the gist from natural scenes, even with
extremely brief exposures. How does the brain so quickly categorize such complex and cluttered
stimuli? We use both behavioral methods and fMRI pattern analysis to address this question.
Specifically, using statistical learning techniques borrowed from computer science, we have been
able to decode scene category throughout visual cortex, including primary visual cortex and the
parahippcampal place area (PPA). Moreover, across a range of experiments we have found that
decoding, particularly in later visual areas, mirrors human behavior. These data not only
provide insight into the brain regions involved in natural scene categorization but also the features
critical to our ability to categorize the scenes


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