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Enhanced Predictor of Human Cognitive State

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Title: Enhanced Predictor of Human Cognitive State
Author(s): Chowdhury, Tanay
Advisor(s): Ziebart, Brian
Contributor(s): Liu, Bing; DasGupta, Bhaskar
Department / Program: Computer Science
Graduate Major: Computer Science
Degree Granting Institution: University of Illinois at Chicago
Degree: MS, Master of Science
Genre: Masters
Subject(s): Scientific data analysis functional Magnetic Resonance Imaging high dimensional data feature selection Adaboost classifier Support Vector Machine nearest neighbor brain image analysis.
Abstract: Human brain is considered the most complicated and developed one among all the mammals living in the world. Physicist Sir Roger Penrose said "If you look at the entire physical cosmos, our brains are a tiny, tiny part of it. But they're the most perfectly organized part. Compared to the complexity of a brain, a galaxy is just an inert lump." Hence naturally it is considered an active research area. With the emergence of functional magnetic resonance imaging the research to detect unique pattern of brain activation and deduce important finding got motion. As part of this paper I propose a modified and a new methods to improve the accuracy of predictive modelling to predict cognitive state of human brain created earlier.
Issue Date: 2014-06-20
Genre: thesis
URI: http://hdl.handle.net/10027/18793
Rights Information: Copyright 2014 Tanay Chowdhury
Date Available in INDIGO: 2014-06-20
Date Deposited: 2014-05
 

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