A simple transfer function for nonlinear dendritic integration. - Matthew F. Singh; David H. Zald (Frontiers Comput. Neurosci., 2015)

Network Restructuring Control for Conic Invariance with Application to Neural Networks. - Matthew F. Singh; ShiNung Ching (CDC, 2018)

Estimation and validation of individualized dynamic brain models with resting state fMRI. - Matthew F. Singh; Todd S. Braver; Michael W. Cole; ShiNung Ching (NeuroImage, 2020)

Efficient state and parameter estimation for high-dimensional nonlinear system identification with application to MEG brain network modeling. - Matthew F. Singh; Chong Wang; Michael W. Cole; ShiNung Ching (CoRR, 2021)

Efficient identification for modeling high-dimensional brain dynamics. - Matthew F. Singh; Michael Wang; Michael W. Cole; ShiNung Ching (ACC, 2022)

Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement. - Matthew F. Singh; Michael W. Cole; Todd S. Braver; ShiNung Ching (Annu. Rev. Control., 2022)

Enhancing task fMRI preprocessing via individualized model-based filtering of intrinsic activity dynamics. - Matthew F. Singh; Anxu Wang; Michael W. Cole; ShiNung Ching; Todd S. Braver (NeuroImage, 2022)

Data-driven modeling of neural dynamics from EEG to track physiological changes. - Addison L. Schwamb; Matthew F. Singh; Réjean Guerriero; Shinung Ching (EMBC, 2024)

Estimating uncertainty from feed-forward network based sensing using quasi-linear approximation. - Songhan Zhang; Matthew F. Singh; Delsin Menolascino; Shinung Ching (Neural Networks, 2025)