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An Evolutionary Computation Approach to Cognitive States Classification
| Title | An Evolutionary Computation Approach to Cognitive States Classification |
| Publication Type | Conference Paper |
| Year of Publication | 2007 |
| Conference Name | IEEE Congress on Evolutionary Computing |
| Authors | Ramirez, R. , & Puiggròs M. |
| Abstract |
The 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. |
