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Identifying multivariate EEG synchronization networks through multiple subject community detection.

, , , and . ACSCC, page 122-126. IEEE, (2011)

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Identifying objects impairs knowledge of other objects: A relearning explanation for the neural repetition effect., , , , , , , , and . NeuroImage, 49 (2): 1919-1932 (2010)Identifying multivariate EEG synchronization networks through multiple subject community detection., , , and . ACSCC, page 122-126. IEEE, (2011)A graph theoretic approach to dynamic functional connectivity tracking and network state identification., , and . EMBC, page 6004-6007. IEEE, (2014)Multivariate synchrony modules identified through multiple subject community detection in functional brain networks., , and . EMBC, page 2534-2537. IEEE, (2011)Analysis of Event Related Potentials using PCA and Matching Pursuit on the Time-Frequency Plane., , , and . EMBC, page 2454-2457. IEEE, (2006)A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEG., , , and . IEEE Trans. Biomed. Eng., 64 (1): 225-237 (2017)Hierarchical Spectral Consensus Clustering for Group Analysis of Functional Brain Networks., , , and . IEEE Trans. Biomed. Eng., 62 (9): 2158-2169 (2015)Neuroimaging measures of error-processing: Extracting reliable signals from event-related potentials and functional magnetic resonance imaging., , , , , , , , and . NeuroImage, (2016)Adolescent cognitive control, theta oscillations, and social observation., , , , , , , , , and . NeuroImage, (2019)Recursive Tensor Subspace Tracking for Dynamic Brain Network Analysis., , and . IEEE Trans. Signal Inf. Process. over Networks, 3 (4): 669-682 (2017)