An Evolutionary Computation Approach to Cognitive States Classification

TitleAn Evolutionary Computation Approach to Cognitive States Classification
Publication TypeConference Paper
Year of Publication2007
Conference NameIEEE Congress on Evolutionary Computing
AuthorsRamirez, R., & Puiggròs M.
AbstractThe study of human brain functions has dramatically increased in recent years greatly due to the advent of Functional Magnetic Resonance Imaging. This paper presents a genetic programming approach to the problem of classifying the instantaneous cognitive state of a person based on his/her functional Magnetic Resonance Imaging data. The problem provides a very interesting case study of training classifiers with extremely high dimensional, sparse and noisy data. We apply genetic programming for both feature selection and classifier training.
We present a successful case study of induced classifiers which accurately discriminate between cognitive states produced by listening to different auditory stimuli.
intranet