@inproceedings{e32552be89334a079c5c52011ed426ce,
title = "Cognitive states classification from FMRI data using support vector machines",
abstract = "It is useful to find the sequence of hidden cognitive states that subjects pass through when performing some complex task. We present a method to classify cognitive states from fMRI data usingc SVMs. A dataset of the study of Chinese character vs.Pinyin is considered. The data images are firstly processed and transformed to normalized coordinates. The features are extracted based on activities of voxel and index of Brodmann's areas. Then, they are used as input vectors to train the classifiers of SVMs. The results indicate it is feasible for either single subject cognitive classification or multiple subjects'. The method is helpful to decode cognitive states.",
keywords = "Classification, Cognitive states, FMRI, Neuroinformatics, SVMs",
author = "Ye Ji and Liu, {Hong Bo} and Wang, {Xiu Kun} and Tang, {Yi Yuan}",
year = "2004",
language = "English (US)",
isbn = "0780384032",
series = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
pages = "2919--2923",
booktitle = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
note = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics ; Conference date: 26-08-2004 Through 29-08-2004",
}