J
Jeff Moehlis
Researcher at University of California, Santa Barbara
Publications - 138
Citations - 6443
Jeff Moehlis is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Population & Nonlinear system. The author has an hindex of 36, co-authored 136 publications receiving 5781 citations. Previous affiliations of Jeff Moehlis include University of Stuttgart & University of California.
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The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks.
TL;DR: In this paper, the authors consider optimal decision making in two-alternative forced-choice (TAFC) tasks and show that all but one can be reduced to the drift diffusion model, implementing the statistically optimal algorithm.
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On the Phase Reduction and Response Dynamics of Neural Oscillator Populations
TL;DR: In this paper, phase response curves (PRCs) valid near bifurcations to periodic firing for Hindmarsh-Rose, Hodgkin-Huxley, FitzHugh-Nagumo, and Morris-Lecar models are computed.
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Low-Dimensional Modelling of Turbulence Using the Proper Orthogonal Decomposition: A Tutorial
TL;DR: This paper describes two different ways to numerically calculate the modes, shows how symmetry considerations can be exploited to simplify and understand them, and describes a generalization of the procedure involving projection onto uncoupled modes that allow streamwise and cross-stream components to evolve independently.
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Isostables, isochrons, and Koopman spectrum for the action-angle representation of stable fixed point dynamics
TL;DR: In this paper, a general framework for the definition and computation of the isostables of stable fixed points is provided, which is based on the spectral properties of the Koopman operator.
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Generalized parametric resonance in electrostatically actuated microelectromechanical oscillators
Jeffrey F. Rhoads,Steven W. Shaw,Kimberly L. Turner,Jeff Moehlis,Barry E. DeMartini,Wenhua Zhang +5 more
TL;DR: In this paper, the authors examined a general governing equation of motion for a class of electrostatically driven microelectromechanical (MEM) oscillators and used it to provide a complete description of the dynamic response and its dependence on the system parameters.