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Biorxiv : the Preprint Server for Biology|December 11, 2023
Precision data-driven modeling of cortical dynamics reveals idiosyncratic mechanisms underlying canonical oscillationsMatthew F Singh, Todd S Braver, Michael W Cole, et al.
Annual Reviews in Control|January 22, 2024
Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancementMatthew F Singh, Michael W Cole, Todd S Braver, et al.
Neuroimage|July 1, 2020
Estimation and validation of individualized dynamic brain models with resting state fMRIMatthew F Singh, Todd S Braver, Michael W Cole, et al.
Frontiers in Neuroimaging|August 9, 2023
Control-theoretic integration of stimulation and electrophysiology for cognitive enhancementMatthew F Singh, Michael W Cole, Todd S Braver, et al.
Journal of Neuroscience Methods|July 4, 2018
Geometric classification of brain network dynamics via conic derivative discriminantsMatthew F Singh, Todd S Braver, ShiNung Ching
Proceedings of the National Academy of Sciences of the United States of America|January 17, 2025
Precision data-driven modeling of cortical dynamics reveals person-specific mechanisms underpinning brain electrophysiologyMatthew F Singh, Todd S Braver, Michael Cole, et al.
Journal of Neural Engineering|June 27, 2020
Scalable surrogate deconvolution for identification of partially-observable systems and brain modelingMatthew F Singh, Anxu Wang, Todd S Braver, et al.
Neuroimage|December 23, 2021
Enhancing task fMRI preprocessing via individualized model-based filtering of intrinsic activity dynamicsMatthew F Singh, Anxu Wang, Michael Cole, et al.
Biorxiv : the Preprint Server for Biology|May 4, 2026
Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differencesRuiqi Chen, Hayoung Song, ShiNung Ching, et al.
Imaging Neuroscience (Cambridge, Mass.)|June 6, 2025
Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networksRuiqi Chen, Matthew Singh, Todd S Braver, et al.
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