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Biological Cybernetics|April 28, 2021
Leveraging deep learning to control neural oscillatorsTimothy D Matchen, Jeff Moehlis
Neural Computation|March 18, 2004
On the phase reduction and response dynamics of neural oscillator populationsEric Brown, Jeff Moehlis, Philip Holmes
Biological Cybernetics|March 20, 2025
Optimal control for stochastic neural oscillatorsFaranak Rajabi, Frederic Gibou, Jeff Moehlis
Frontiers in Network Physiology|November 6, 2025
Magnitude-constrained optimal chaotic desynchronization of neural populationsMichael Zimet, Faranak Rajabi, Jeff Moehlis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 7, 2010
Robotic reactions: delay-induced patterns in autonomous vehicle systemsGábor Orosz, Jeff Moehlis, Francesco Bullo
Cerebral Cortex (New York, N.Y. : 1991)|June 12, 2009
Identification of the hippocampal input to medial prefrontal cortex in vitroMarc A Parent, Lang Wang, Jianjun Su, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 29, 2007
Coarse-grained analysis of stochasticity-induced switching between collective motion statesAllison Kolpas, Jeff Moehlis, Ioannis G Kevrekidis
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|December 17, 2009
Controlling biological networks by time-delayed signalsGábor Orosz, Jeff Moehlis, Richard M Murray
Biological Cybernetics|December 9, 2020
Analysis of neural clusters due to deep brain stimulation pulsesDaniel Kuelbs, Jacob Dunefsky, Bharat Monga, et al.
Biological Cybernetics|September 12, 2018
Phase reduction and phase-based optimal control for biological systems: a tutorialBharat Monga, Dan Wilson, Tim Matchen, et al.
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