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Experimental Validation of Dynamic Granger Causality for Inferring Sub-100ms Neuronal Timing Differences from fMRI Without the Confounding Effect of Hemodynamic Variability

Finite Number of Brain Network Configurations Revealed from Time-Varying Connectivity Assessment of Resting State fMRI

Fully Connected Cascade Deep Architecture Neural Networks Outperform Support Vector Machines for Disease State Classification Using fMRI Data

Identification of Neural Connectivity Signatures of Autism Using Machine Learning

Investigation of the Neural Basis of the Default Mode Network Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data