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Multivariate synchrony modules identified through multiple subject community detection in functional brain networks.

, , and . EMBC, page 2534-2537. IEEE, (2011)

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Identifying multivariate EEG synchronization networks through multiple subject community detection., , , and . ACSCC, page 122-126. IEEE, (2011)Analysis of Event Related Potentials using PCA and Matching Pursuit on the Time-Frequency Plane., , , and . EMBC, page 2454-2457. IEEE, (2006)Adolescent cognitive control, theta oscillations, and social observation., , , , , , , , , and . NeuroImage, (2019)Multivariate synchrony modules identified through multiple subject community detection in functional brain networks., , and . EMBC, page 2534-2537. IEEE, (2011)A graph theoretic approach to dynamic functional connectivity tracking and network state identification., , and . EMBC, page 6004-6007. IEEE, (2014)Recursive Tensor Subspace Tracking for Dynamic Brain Network Analysis., , and . IEEE Trans. Signal Inf. Process. over Networks, 3 (4): 669-682 (2017)A Time-Varying Phase Coherence Measure for Quantifying Functional Integration in the Brain., , , and . ICASSP (4), page 1169-1172. IEEE, (2007)Dynamics of processing invisible faces in the brain: Automatic neural encoding of facial expression information., , , , , and . NeuroImage, 44 (3): 1171-1177 (2009)Time-Frequency Data Reduction for Event Related Potentials: Combining Principal Component Analysis and Matching Pursuit., , , and . EURASIP J. Adv. Signal Process., (2010)Multiple subject analysis of functional brain network communities through co-regularized spectral clustering., , , and . EMBC, page 5992-5995. IEEE, (2014)