Search Results - "Moehlis, Jeff"

Optimal phase control of biological oscillators using augmented phase reduction by Monga, Bharat, Moehlis, Jeff

“…We develop a novel optimal control algorithm to change the phase of an oscillator using a minimum energy input, which also minimizes the oscillator’s…”
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Phase distribution control of a population of oscillators by Monga, Bharat, Moehlis, Jeff

“…The collective behavior of biological oscillators has been recognized as an important problem for several decades, but its control has come into limelight only…”
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Improving the precision of noisy oscillators by Moehlis, Jeff

“…We consider how the period of an oscillator is affected by white noise, with special attention given to the cases of additive noise and parameter fluctuations…”
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Clustered Desynchronization from High-Frequency Deep Brain Stimulation by Wilson, Dan, Moehlis, Jeff

“…While high-frequency deep brain stimulation is a well established treatment for Parkinson's disease, its underlying mechanisms remain elusive. Here, we show…”
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Leveraging deep learning to control neural oscillators by Matchen, Timothy D., Moehlis, Jeff

“…Modulation of the firing times of neural oscillators has long been an important control objective, with applications including Parkinson’s disease, Tourette’s…”
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A broadband vibrational energy harvester by Van Blarigan, Louis, Danzl, Per, Moehlis, Jeff

“…We propose a design for an energy harvester which has the potential to harvest vibrational energy over a broad range of ambient frequencies. The device uses…”
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The Physics of Optimal Decision Making: A Formal Analysis of Models of Performance in Two-Alternative Forced-Choice Tasks by Bogacz, Rafal, Brown, Eric, Moehlis, Jeff, Holmes, Philip, Cohen, Jonathan D

“…In this article, the authors consider optimal decision making in two-alternative forced-choice (TAFC) tasks. They begin by analyzing 6 models of TAFC decision…”
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Extending Phase Reduction to Excitable Media: Theory and Applications by Wilson, Dan, Moehlis, Jeff

“…Phase reduction methods have been tremendously useful for understanding the dynamics of nonlinear oscillators, but have been difficult to extend to systems…”
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Analysis of neural clusters due to deep brain stimulation pulses by Kuelbs, Daniel, Dunefsky, Jacob, Monga, Bharat, Moehlis, Jeff

“…Deep brain stimulation (DBS) is an established method for treating pathological conditions such as Parkinson’s disease, dystonia, Tourette syndrome, and…”
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Spatiotemporal control to eliminate cardiac alternans using isostable reduction by Wilson, Dan, Moehlis, Jeff

“…Cardiac alternans, an arrhythmia characterized by a beat-to-beat alternation of cardiac action potential durations, is widely believed to facilitate the…”
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An Energy-Optimal Approach for Entrainment of Uncertain Circadian Oscillators by Wilson, Dan, Moehlis, Jeff

“…We develop an approach to find an energy-optimal stimulus that entrains an ensemble of uncertain, uncoupled limit cycle oscillators. Furthermore, when…”
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Toward a More Efficient Implementation of Antifibrillation Pacing by Wilson, Dan, Moehlis, Jeff

“…We devise a methodology to determine an optimal pattern of inputs to synchronize firing patterns of cardiac cells which only requires the ability to measure…”
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Phasic Burst Stimulation: A Closed-Loop Approach to Tuning Deep Brain Stimulation Parameters for Parkinson's Disease by Holt, Abbey B, Wilson, Dan, Shinn, Max, Moehlis, Jeff, Netoff, Theoden I

“…We propose a novel, closed-loop approach to tuning deep brain stimulation (DBS) for Parkinson's disease (PD). The approach, termed Phasic Burst Stimulation…”
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On the phase reduction and response dynamics of neural oscillator populations by Brown, Eric, Moehlis, Jeff, Holmes, Philip

“…We undertake a probabilistic analysis of the response of repetitively firing neural populations to simple pulselike stimuli. Recalling and extending results…”
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Single input optimal control for globally coupled neuron networks by Nabi, Ali, Moehlis, Jeff

“…We consider the problem of desynchronizing a network of synchronized, globally (all-to-all) coupled neurons using an input to a single neuron. This is done by…”
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Canards for a reduction of the Hodgkin-Huxley equations by Moehlis, Jeff

“…This paper shows that canards, which are periodic orbits for which the trajectory follows both the attracting and repelling part of a slow manifold, can exist…”
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Desynchronization of stochastically synchronized chemical oscillators by Snari, Razan, Tinsley, Mark R, Wilson, Dan, Faramarzi, Sadegh, Netoff, Theoden Ivan, Moehlis, Jeff, Showalter, Kenneth

“…Experimental and theoretical studies are presented on the design of perturbations that enhance desynchronization in populations of oscillators that are…”
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Coarse-grained analysis of stochasticity-induced switching between collective motion states by Kolpas, Allison, Moehlis, Jeff, Kevrekidis, Ioannis G

“…A single animal group can display different types of collective motion at different times. For a one-dimensional individual-based model of self-organizing…”
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How the spatial position of individuals affects their influence on swarms: a numerical comparison of two popular swarm dynamics models by Kolpas, Allison, Busch, Michael, Li, Hong, Couzin, Iain D, Petzold, Linda, Moehlis, Jeff

“…Schools of fish and flocks of birds are examples of self-organized animal groups that arise through social interactions among individuals. We numerically study…”
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Generalized parametric resonance in electrostatically actuated microelectromechanical oscillators by Rhoads, Jeffrey F., Shaw, Steven W., Turner, Kimberly L., Moehlis, Jeff, DeMartini, Barry E., Zhang, Wenhua

“…This paper investigates the dynamic response of a class of electrostatically driven microelectromechanical (MEM) oscillators. The particular systems of…”
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