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Moehlis

Showing results (11-20 of 57) with videos related to

Pageof 6
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Journal of Computational Neuroscience|June 6, 2014
Locally optimal extracellular stimulation for chaotic desynchronization of neural populationsDan Wilson, Jeff Moehlis
Plos Computational Biology|December 30, 2015
Clustered Desynchronization from High-Frequency Deep Brain StimulationDan Wilson, Jeff Moehlis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 19, 2015
Determining individual phase response curves from aggregate population dataDan Wilson, Jeff Moehlis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2008
Characterizing the edge of chaos for a shear flow modelLina Kim, Jeff Moehlis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 3, 2012
Homogeneous assumption and the logistic behavior of information propagationMichael Busch, Jeff Moehlis
Plos One|July 9, 2016
Toward a More Efficient Implementation of Antifibrillation PacingDan Wilson, Jeff Moehlis
Chaos (Woodbury, N.Y.)|April 3, 2016
Dynamic analysis of a buckled asymmetric piezoelectric beam for energy harvestingLouis Van Blarigan, Jeff Moehlis
Journal of Computational Neuroscience|April 5, 2018
Phase model-based neuron stabilization into arbitrary clustersTimothy D Matchen, Jeff Moehlis
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
Pageof 6

Showing results (11-20 of 57) with videos related to

Sort By:
Pageof 6
Journal of Computational Neuroscience|June 6, 2014
Locally optimal extracellular stimulation for chaotic desynchronization of neural populationsDan Wilson, Jeff Moehlis
Plos Computational Biology|December 30, 2015
Clustered Desynchronization from High-Frequency Deep Brain StimulationDan Wilson, Jeff Moehlis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 19, 2015
Determining individual phase response curves from aggregate population dataDan Wilson, Jeff Moehlis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 15, 2008
Characterizing the edge of chaos for a shear flow modelLina Kim, Jeff Moehlis
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 3, 2012
Homogeneous assumption and the logistic behavior of information propagationMichael Busch, Jeff Moehlis
Plos One|July 9, 2016
Toward a More Efficient Implementation of Antifibrillation PacingDan Wilson, Jeff Moehlis
Chaos (Woodbury, N.Y.)|April 3, 2016
Dynamic analysis of a buckled asymmetric piezoelectric beam for energy harvestingLouis Van Blarigan, Jeff Moehlis
Journal of Computational Neuroscience|April 5, 2018
Phase model-based neuron stabilization into arbitrary clustersTimothy D Matchen, Jeff Moehlis
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
Pageof 6