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Topological changes of the effective connectivity during the working memory training.

, , , , , and . EMBC, page 6242-6245. IEEE, (2014)

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Identification of Differentially Expressed Subpathways using a Consensus Approach., , , and . BIBE, page 194-198. IEEE, (2019)Classification of brain signal (EEG) induced by shape-analogous letter perception., , , , , and . Adv. Eng. Informatics, (2019)Multiresolution analysis and denoising of computer performance evaluation data with the wavelet transform., and . J. Syst. Archit., 42 (1): 55-65 (1996)Functional brain network analysis reveals time-on-task related performance decline., , , and . EMBC, page 271-274. IEEE, (2018)Performance Improvement of Driving Fatigue Identification Based on Power Spectra and Connectivity Using Feature Level and Decision Level Fusions., , , , and . EMBC, page 102-105. IEEE, (2018)Comparison method for community detection on brain networks from neuroimaging data., , , and . Appl. Netw. Sci., (2016)Graph theoretical analysis of EEG functional network during multi-workload flight simulation experiment in virtual reality environment., , , , and . EMBC, page 3957-3960. IEEE, (2017)Connectome pattern alterations with increment of mental fatigue in one-hour driving simulation., , , , and . EMBC, page 4355-4358. IEEE, (2017)A mental fatigue index based on regression using mulitband EEG features with application in simulated driving., , , , and . EMBC, page 3220-3223. IEEE, (2017)A Multilayer Network Approach for Studying Creative Ideation from EEG., , , , , and . BI, volume 11309 of Lecture Notes in Computer Science, page 294-303. Springer, (2018)