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Matthew Francis Singh

Assistant Professor

Research Interests

System Identification

Nonlinear Dynamical Systems

Mathematical Neuroscience

Brain Connectomics

Control Theory

Machine Learning

 

Education

Neuroscience, PhD, Washington University St. Louis

Courses Taught

STAT 447: Data Science Programming Methods

Additional Campus Affiliations

Assistant Professor, Statistics
Assistant Professor, Beckman Institute for Advanced Science and Technology

Recent Publications

Levenstein, D., Alvarez, V. A., Amarasingham, A., Azab, H., Chen, Z. S., Gerkin, R. C., Hasenstaub, A., Iyer, R., Jolivet, R. B., Marzen, S., Monaco, J. D., Prinz, A. A., Quraishi, S., Santamaria, F., Shivkumar, S., Singh, M. F., Traub, R., Nadim, F., Rotstein, H. G., & Redish, A. D. (2023). On the Role of Theory and Modeling in Neuroscience. Journal of Neuroscience, 43(7), 1074-1088. https://doi.org/10.1523/JNEUROSCI.1179-22.2022

Etzel, J. A., Brough, R. E., Freund, M. C., Kizhner, A., Lin, Y., Singh, M. F., Tang, R., Tay, A., Wang, A., & Braver, T. S. (2022). The Dual Mechanisms of Cognitive Control dataset, a theoretically-guided within-subject task fMRI battery. Scientific Data, 9(1), Article 114. https://doi.org/10.1038/s41597-022-01226-4

Singh, M. F., Cole, M. W., Braver, T. S., & Ching, S. (2022). Control-theoretic integration of stimulation and electrophysiology for cognitive enhancement. Frontiers in Neuroimaging, 1. https://doi.org/10.3389/fnimg.2022.982288

Singh, M. F., Cole, M. W., Braver, T. S., & Ching, S. N. (2022). Developing control-theoretic objectives for large-scale brain dynamics and cognitive enhancement. Annual Reviews in Control, 54, 363-376. https://doi.org/10.1016/j.arcontrol.2022.05.001

Singh, M. F., Wang, M., Cole, M. W., & Ching, S. N. (2022). Efficient identification for modeling high-dimensional brain dynamics. In 2022 American Control Conference, ACC 2022 (pp. 1353-1358). (Proceedings of the American Control Conference; Vol. 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC53348.2022.9867232

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