Jeff Moehlis

发表

Minimum energy spike randomization for neurons

Ali Nabi, Mohammad Mirzadeh, Frédéric Gibou, 2012, 2012 American Control Conference (ACC).

Analytical bounds on the critical coupling strength in a population of heterogeneous biological oscillators

Jeff Moehlis, Dan Wilson, J. Moehlis, 2016, 2016 American Control Conference (ACC).

Equilibrium Configurations for a Territorial Model

Masayuki Fujita, Takeshi Hatanaka, Jeff Moehlis, 2009, SIAM J. Appl. Dyn. Syst..

Controlling spike timing and synchrony in oscillatory neurons.

Jeff Moehlis, Tyler Stigen, Per Danzl, 2011, Journal of neurophysiology.

Supervised Learning Algorithms for Controlling Underactuated Dynamical Systems

Jeff Moehlis, Bharat Monga, 2019 .

Delayed car-following dynamics for human and robotic drivers

Gábor Orosz, Francesco Bullo, Jeff Moehlis, 2011 .

Optimal switching between collective motion states for two agents

Jeff Moehlis, Allison Kolpas, J. Moehlis, 2009, Appl. Math. Lett..

Controlling biological networks by time-delayed signals

Gábor Orosz, Jeff Moehlis, Richard M Murray, 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Nonlinear hybrid control of phase models for coupled oscillators

Ali Nabi, Jeff Moehlis, 2010, Proceedings of the 2010 American Control Conference.

Parallel simulation for a fish schooling model on a general-purpose graphics processing unit

Hong Li, Jeff Moehlis, Linda R. Petzold, 2009 .

Optimal phase control of biological oscillators using augmented phase reduction

Jeff Moehlis, Bharat Monga, J. Moehlis, 2018, Biological Cybernetics.

Partial phase synchronization of neural populations due to random Poisson inputs

Robert Hansen, Jeff Moehlis, Per Danzl, 2008, Journal of Computational Neuroscience.

Optimal Decisions: From Neural Spikes, through Stochastic Differential Equations, to Behavior

Philip Holmes, Eric Shea-Brown, Jonathan D. Cohen, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

The social media genome: Modeling individual topic-specific behavior in social media

Ambuj K. Singh, Boleslaw K. Szymanski, Jeff Moehlis, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

An Energy Harvester for Broadband Vibrations

Jeff Moehlis, Per Danzl, Louis Van Blarigan, 2011 .

Event-based feedback control of nonlinear oscillators using phase response curves

Jeff Moehlis, Per Danzl, J. Moehlis, 2007, 2007 46th IEEE Conference on Decision and Control.

Phasic Burst Stimulation: A Closed-Loop Approach to Tuning Deep Brain Stimulation Parameters for Parkinson’s Disease

Jeff Moehlis, Dan Wilson, Theoden I. Netoff, 2016, PLoS Comput. Biol..

The Influence of Spike Rate and Stimulus Duration on Noradrenergic Neurons

Philip Holmes, Eric Shea-Brown, Jeff Moehlis, 2004, Journal of Computational Neuroscience.

Analysis of neural clusters due to deep brain stimulation pulses

Jeff Moehlis, Bharat Monga, Daniel Kuelbs, 2020, Biological Cybernetics.

An Energy-Optimal Methodology for Synchronization of Excitable Media

Jeff Moehlis, Dan Wilson, J. Moehlis, 2014, SIAM J. Appl. Dyn. Syst..

Novel Vehicular Trajectories for Collective Motion from Coupled Oscillator Steering Control

Jeff Moehlis, Margot Kimura, J. Moehlis, 2008, SIAM J. Appl. Dyn. Syst..

Real-time stabilization of neurons into clusters

Jeff Moehlis, Timothy Matchen, J. Moehlis, 2017, 2017 American Control Conference (ACC).

Periodic orbit

Eric Shea-Brown, Jeff Moehlis, Kresimir Josic, 2006, Scholarpedia.

A Hamilton-Jacobi-Bellman approach for termination of seizure-like bursting

Jeff Moehlis, Dan Wilson, J. Moehlis, 2014, Journal of Computational Neuroscience.

Phase model-based neuron stabilization into arbitrary clusters

Jeff Moehlis, Timothy Matchen, J. Moehlis, 2018, Journal of Computational Neuroscience.

Modeling individual topic-specific behavior and influence backbone networks in social media

Ambuj K. Singh, Boleslaw K. Szymanski, Jeff Moehlis, 2014, Social Network Analysis and Mining.

Minimum energy desynchronizing control for coupled neurons

Ali Nabi, Mohammad Mirzadeh, Frédéric Gibou, 2012, Journal of Computational Neuroscience.

Parallel simulation for a fish schooling model on a general‐purpose graphics processing unit

Hong Li, Jeff Moehlis, Linda R. Petzold, 2009, Concurr. Comput. Pract. Exp..

Synchronization of Identical Oscillators Coupled Through a Symmetric Network With Dynamics: A Constructive Approach With Applications to Parallel Operation of Inverters

João Pedro Hespanha, Jeff Moehlis, Leonardo A. B. Tôrres, 2015, IEEE Transactions on Automatic Control.

To Delay or Not to Delay—Stability of Connected Cruise Control

Gábor Orosz, Jeff Moehlis, Tamás Insperger, 2017 .

Periodic Orbits and Chaotic Sets in a Low-Dimensional Model for Shear Flows

Jeff Moehlis, Bruno Eckhardt, Holger Faisst, 2005, SIAM J. Appl. Dyn. Syst..

How a biological decision network can implement a statistically optimal test

Jonathan D. Cohen, Jeff Moehlis, Rafal Bogacz, 2005 .

Single input optimal control for globally coupled neuron networks

Ali Nabi, Jeff Moehlis, J. Moehlis, 2011, Journal of neural engineering.

Phase distribution control of a population of oscillators

Jeff Moehlis, Bharat Monga, J. Moehlis, 2018, Physica D: Nonlinear Phenomena.

Event-based minimum-time control of oscillatory neuron models

João Pedro Hespanha, Jeff Moehlis, Per Danzl, 2009, Biological Cybernetics.

Optimal entrainment of heterogeneous noisy neurons

Jeff Moehlis, Theoden I. Netoff, Abbey B. Holt, 2015, Front. Neurosci..

Low dimensional modeling of a non-uniform, buckled piezoelectric beam for vibrational energy harvesting

Jeff Moehlis, Robert M. McMeeking, Louis Van Blarigan, 2015 .

Global Isochrons and Phase Sensitivity of Bursting Neurons

Jeff Moehlis, Igor Mezic, Alexandre Mauroy, 2014, SIAM J. Appl. Dyn. Syst..

Controlling neural clustering using delayed inputs

Gábor Orosz, Jeff Moehlis, J. Moehlis, 2009 .

A Fast Eulerian Approach for Computation of Global Isochrons in High Dimensions

Frédéric Gibou, Jeff Moehlis, Miles Detrixhe, 2016, SIAM J. Appl. Dyn. Syst..

Locally optimal extracellular stimulation for chaotic desynchronization of neural populations

Jeff Moehlis, Dan Wilson, 2014, Journal of Computational Neuroscience.

A nonparametric adaptive nonlinear statistical filter

Jeff Moehlis, Michael Busch, J. Moehlis, 2014, 53rd IEEE Conference on Decision and Control.

Group Decision-Making Models for Sequential Tasks

Jeff Moehlis, Margot Kimura, J. Moehlis, 2012, SIAM Rev..

Synchronizing and Desynchronizing Neural Populations through Phase Distribution Control

Jeff Moehlis, Gary Froyland, Bharat Monga, 2018, 2018 Annual American Control Conference (ACC).

Continuation-based Computation of Global Isochrons

Jeff Moehlis, Hinke M. Osinga, J. Moehlis, 2010, SIAM J. Appl. Dyn. Syst..

Equivariant dynamical systems

Jeff Moehlis, Edgar Knobloch, J. Moehlis, 2007, Scholarpedia.

Minimum energy control for in vitro neurons

Ali Nabi, Jeff Moehlis, Tyler Stigen, 2013, Journal of neural engineering.

Clustered Desynchronization from High-Frequency Deep Brain Stimulation

Jeff Moehlis, Dan Wilson, J. Moehlis, 2015, PLoS Comput. Biol..

Canards in a Surface Oxidation Reaction

Jeff Moehlis, J. Moehlis, 2002, J. Nonlinear Sci..

Corrigendum: Minimum energy control for in vitro neurons

Ali Nabi, Jeff Moehlis, Theoden I. Netoff, 2013 .

Toward a More Efficient Implementation of Antifibrillation Pacing

Jeff Moehlis, Dan Wilson, J. Moehlis, 2016, PloS one.

Exploiting Nonlinearity to Provide Broadband Energy Harvesting

Jeff Moehlis, Jeffrey L. Rogers, Kimberly L. Turner, 2009 .

Optimal Chaotic Desynchronization for Neural Populations

Jeff Moehlis, Dan Wilson, J. Moehlis, 2014, SIAM J. Appl. Dyn. Syst..

Point-to-point control near heteroclinic orbits: Plant and controller optimality conditions

Jeff Moehlis, Brian Paden, J. Moehlis, 2013, Autom..

Equivariant bifurcation theory

Jeff Moehlis, Edgar Knobloch, 2007, Scholarpedia.

On Bifurcations in Nonlinear Consensus Networks

Vaibhav Srivastava, Francesco Bullo, Jeff Moehlis, 2010, Proceedings of the 2010 American Control Conference.

Linear Control of Neuronal Spike Timing Using Phase Response Curves

Jeff Moehlis, Theoden I. Netoff, Tyler Stigen, 2010 .

Linear control of neuronal spike timing using phase response curves

Jeff Moehlis, Tyler Stigen, Per Danzl, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Extending Phase Reduction to Excitable Media: Theory and Applications

Jeff Moehlis, Dan Wilson, J. Moehlis, 2015, SIAM Rev..

Leveraging deep learning to control neural oscillators

Jeff Moehlis, Timothy Matchen, J. Moehlis, 2021, Biological Cybernetics.

Wrinkled tori and bursts due to resonant temporal forcing

Jeff Moehlis, Edgar Knobloch, J. Moehlis, 2001 .

Determining individual phase response curves from aggregate population data.

Jeff Moehlis, Dan Wilson, J. Moehlis, 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.

Homogeneous assumption and the logistic behavior of information propagation.

Jeff Moehlis, J. Moehlis, Michael Busch, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Robotic reactions: delay-induced patterns in autonomous vehicle systems.

Gábor Orosz, Francesco Bullo, Jeff Moehlis, 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

Synchronization of heterogeneous oscillator populations in response to weak and strong coupling.

Jeff Moehlis, Kenneth Showalter, Dan Wilson, 2018, Chaos.

Low-dimensional models for turbulent plane Couette flow in a minimal flow unit

Jeff Moehlis, Philip Holmes, P. Holmes, 2005, Journal of Fluid Mechanics.

An energy-optimal approach for entrainment of uncertain circadian oscillators.

Jeff Moehlis, Dan Wilson, J. Moehlis, 2014, Biophysical journal.

Models for Turbulent Plane Couette Flow Using the Proper Orthogonal Decomposition: Minimal Flow Unit

Jeff Moehlis, Philip Holmes, Troy R. Smith, 2001 .

How the Spatial Position of Individuals Affects Their Influence on Swarms: A Numerical Comparison of Two Popular Swarm Dynamics Models

Jeff Moehlis, Iain D. Couzin, Linda Petzold, 2013, PloS one.

Bursts in oscillatory systems with broken D 4 symmetry

Jeff Moehlis, Edgar Knobloch, J. Moehlis, 2000 .

Canards for a reduction of the Hodgkin-Huxley equations

Jeff Moehlis, J. Moehlis, 2006, Journal of mathematical biology.

Desynchronization of stochastically synchronized chemical oscillators.

Jeff Moehlis, Kenneth Showalter, Dan Wilson, 2015, Chaos.

Charge-Balanced Optimal Inputs for Phase Models of Spiking Neurons

Ali Nabi, Jeff Moehlis, J. Moehlis, 2009 .

CHARGE-BALANCED SPIKE TIMING CONTROL FOR PHASE MODELS OF SPIKING NEURONS

Ali Nabi, Jeff Moehlis, Per Danzl, 2010 .

Coarse analysis of collective motion with different communication mechanisms.

Jeff Moehlis, Ioannis G Kevrekidis, Thomas A Frewen, 2008, Mathematical biosciences.

Synchronization of Oscillators Coupled through a Network with Dynamics : A Constructive Approach with Applications to the Parallel Operation of Voltage Power Supplies

João P. Hespanha, Jeff Moehlis, Leonardo A. B. Tôrres, 2013 .

Coarse Collective Dynamics of Animal Groups

Ronald R. Coifman, Jeff Moehlis, Iain D. Couzin, 2011 .

A low-dimensional model for turbulent shear flows

Jeff Moehlis, Bruno Eckhardt, Holger Faisst, 2004 .

NONLINEAR RESPONSE OF PARAMETRICALLY-EXCITED MEMS

Jeff Moehlis, Steven W. Shaw, Jeffrey F. Rhoads, 2005 .

Characterizing the edge of chaos for a shear flow model.

Jeff Moehlis, Lina Kim, J. Moehlis, 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

Improving the precision of noisy oscillators

Jeff Moehlis, J. Moehlis, 2014 .

A continuation method for computing global isochrons

Jeff Moehlis, Hinke M. Osinga, J. Moehlis, 2009 .

Generalized parametric resonance in electrostatically actuated microelectromechanical oscillators

Jeff Moehlis, Steven W. Shaw, Jeffrey F. Rhoads, 2006 .

Selective averaging with application to phase reduction and neural control

Frank Allgöwer, Jeff Moehlis, Dan Wilson, 2014 .