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Models of human visual attention should consider trial-by-trial variability in preparatory neural signals., , and . Neural Networks, 19 (9): 1447-1449 (2006)Distinct modes of functional connectivity induced by movie-watching., , , , , , , , , and . NeuroImage, (2019)Changes of Metabolic Connectivity in Dementia with Lewy Bodies with Visual Hallucinations: A 18F-Fluorodeoxyglucose Positron Emission Tomography/Magnetic Resonance Study., , , , , and . Brain Connect., 11 (7): 518-528 (2021)Multi-band MEG signatures of BOLD connectivity reorganization during visuospatial attention., , , , , , and . NeuroImage, (2021)An overview of open source Deep Learning-based libraries for Neuroscience., , , and . CoRR, (2023)Modeling venous plasma samples in $^18F$ FDG PET studies: a nonlinear mixed-effects approach., , , , , , , and . EMBC, page 4704-4707. IEEE, (2022)Directed Flow of Beta Band Communication During Reorienting of Attention Within the Dorsal Attention Network., , , , and . Brain Connect., 11 (9): 717-724 (2021)Post-stroke reorganization of transient brain activity characterizes deficits and recovery of cognitive functions., , , , , , and . NeuroImage, (2022)Warnings and caveats in brain controllability., , , , , and . NeuroImage, (2018)Laboratory of attention and brain recovery at Washington University, St. Louis., and . Cogn. Process., 7 (3): 209-211 (2006)