| Phase reduction and phase-based optimal control for biological systems: a tutorial B Monga, D Wilson, T Matchen, J Moehlis Biological cybernetics 113 (1), 11-46, 2019 | 94 | 2019 |
| Phase model-based neuron stabilization into arbitrary clusters TD Matchen, J Moehlis Journal of computational neuroscience 44, 363-378, 2018 | 13 | 2018 |
| An operator-theoretic viewpoint to non-smooth dynamical systems: Koopman analysis of a hybrid pendulum N Govindarajan, H Arbabi, L Van Blargian, T Matchen, E Tegling 2016 IEEE 55th Conference on Decision and Control (CDC), 6477-6484, 2016 | 11 | 2016 |
| Real-time stabilization of neurons into clusters T Matchen, J Moehlis 2017 American Control Conference (ACC), 2805-2810, 2017 | 9 | 2017 |
| Leveraging deep learning to control neural oscillators TD Matchen, J Moehlis Biological Cybernetics 115 (3), 219-235, 2021 | 5 | 2021 |
| Symbolic regression via neural networks N Boddupalli, T Matchen, J Moehlis Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (8), 2023 | 2 | 2023 |
| Image-based target tracking using least-squares trajectory estimation without a priori knowledge TD Matchen, BR Nadler 2014 IEEE Aerospace Conference, 1-12, 2014 | 1 | 2014 |
| Adaptive Strategies for Oscillatory Systems: Integrating Machine Learning and Control Techniques with Applications in Neuroscience TD Matchen University of California, Santa Barbara, 2021 | | 2021 |
| Utilizing Q-Learning to Optimize Deep Brain Stimulation in Parkinson’s Patients R Kumar, T Matchen, J Moehlis | | 2019 |
