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Testing for Spatial Heterogeneity in Functional MRI Using the Multivariate General Linear Model., and . IEEE Trans. Med. Imaging, 30 (6): 1293-1302 (2011)Text-mining the neurosynth corpus using deep boltzmann machines., , , , and . PRNI, page 1-4. IEEE, (2016)Novel Modeling of Task vs. Rest Brain State Predictability Using a Dynamic Time Warping Spectrum: Comparisons and Contrasts with Other Standard Measures of Brain Dynamics., , , , , and . Front. Comput. Neurosci., (2016)Cognitive enhancement with Salience Network electrical stimulation is influenced by network structural connectivity., , , , , , , and . NeuroImage, (2019)A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks., , , , , , and . IEEE Trans. Med. Imaging, 32 (12): 2200-2214 (2013)Separable networks for top-down attention to auditory non-spatial and visuospatial modalities., , , , and . NeuroImage, (2013)Estimating time-varying brain connectivity networks from functional MRI time series., , , , , and . NeuroImage, (2014)Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods., , , , , and . Front. Comput. Neurosci., (2017)Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data., , , , , and . PRNI, page 1-4. IEEE Computer Society, (2015)The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI., , , , , , and . NeuroImage, (2016)