Predicting the imagined contents using brain activation

Show simple item record Miyapuram, Krishna Prasad Schultz, Wolfram Tobler, Philippe N.
dc.contributor.other 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) 2014-04-25T07:02:13Z 2014-04-25T07:02:13Z 2013-12-11
dc.identifier.citation Miyapuram, Krishna Prasad; Schultz, Wolfram and Tobler, Philippe N., “Predicting the imagined contents using brain activation”, in 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Institute of Technology, Jodhpur, IN, DOI: 10.1109/NCVPRIPG.2013.6776230, pp. 1-3, Dec. 18-21, 2013. en_US
dc.description.abstract Mental imagery refers to percept-like experiences in the absence of sensory input. Brain imaging studies suggest common, modality-specific, neural correlates imagery and perception. We associated abstract visual stimuli with either visually presented or imagined monetary rewards and scrambled pictures. Brain images for a group of 12 participants were collected using functional magnetic resonance imaging. Statistical analysis showed that human midbrain regions were activated irrespective of the monetary rewards being imagined or visually present. A support vector machine trained on the midbrain activation patterns to the visually presented rewards predicted with 75% accuracy whether the participants imagined the monetary reward or the scrambled picture during imagination trials. Training samples were drawn from visually presented trials and classification accuracy was assessed for imagination trials. These results suggest the use of machine learning technique for classification of underlying cognitive states from brain imaging data. en_US
dc.description.statementofresponsibility by Krishna Prasad Miyapuram, Wolfram Schultz and Philippe N. Tobler
dc.format.extent pp. 1-3
dc.language.iso en en_US
dc.subject Abstracts en_US
dc.subject Brain en_US
dc.subject Magnetic resonance imaging en_US
dc.subject Support vector machines en_US
dc.subject Training en_US
dc.subject Visualization en_US
dc.title Predicting the imagined contents using brain activation en_US
dc.type Article en_US

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