Timothy Matchen
Timothy Matchen
Artificial Intelligence SME, Lyteloop
Verified email at lyteloop.com
Cited by
Cited by
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
Phase model-based neuron stabilization into arbitrary clusters
TD Matchen, J Moehlis
Journal of computational neuroscience 44 (3), 363-378, 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
Real-time stabilization of neurons into clusters
T Matchen, J Moehlis
2017 American Control Conference (ACC), 2805-2810, 2017
Image-based target tracking using least-squares trajectory estimation without a priori knowledge
TD Matchen, BR Nadler
2014 IEEE Aerospace Conference, 1-12, 2014
Leveraging deep learning to control neural oscillators
TD Matchen, J Moehlis
Biological Cybernetics, 1-17, 2021
Adaptive Strategies for Oscillatory Systems: Integrating Machine Learning and Control Techniques with Applications in Neuroscience
TD Matchen
University of California, Santa Barbara, 2021
Utilizing Q-Learning to Optimize Deep Brain Stimulation in Parkinson’s Patients
R Kumar, T Matchen, J Moehlis
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