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Engineering and Technology

D-Index
37
Citations
7416
World Ranking
8280
National Ranking
2285

Research.com Recognitions

  • 2005 - Fellow of Alfred P. Sloan Foundation

Overview

Jeff Moehlis is affiliated with the University of California, Santa Barbara in the United States. Their research spans multiple areas within neuroscience, focusing primarily on neural dynamics, brain function, and neural engineering.

The main fields of study associated with their work include Neuroscience, with subfields in Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Statistical and Nonlinear Physics, and Artificial Intelligence.

Their research topics encompass:

  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Neurological disorders and treatments
  • Insect and Arachnid Ecology and Behavior
  • Neurobiology and Insect Physiology Research
  • Model Reduction and Neural Networks
  • Neural Networks and Applications

Notable recent papers by Jeff Moehlis include:

  • Decoding collective communications using information theory tools (2020), published in Journal of The Royal Society Interface
  • Depolarization block in olfactory sensory neurons expands the dimensionality of odor encoding (2022), published in Science Advances
  • Recent advances in the analysis and control of large populations of neural oscillators (2022), published in Annual Reviews in Control
  • Symbolic regression via neural networks (2023), published in Chaos An Interdisciplinary Journal of Nonlinear Science
  • Supervised learning algorithms for controlling underactuated dynamical systems (2020), published in Physica D Nonlinear Phenomena

Frequent collaborators include:

  • Bharat Monga
  • Faranak Rajabi
  • Frédéric Gibou
  • Philip H. Wong
  • Matthieu Louis

Jeff Moehlis has published frequently in venues such as Biological Cybernetics, arXiv (Cornell University), Journal of The Royal Society Interface, Science Advances, and Annual Reviews in Control.

In 2005, Jeff Moehlis was recognized as a Fellow of the Alfred P. Sloan Foundation.

Best Publications

  • The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks.

    Rafal Bogacz;Eric Brown;Jeff Moehlis;Philip Holmes

  • On the Phase Reduction and Response Dynamics of Neural Oscillator Populations

    Eric Brown;Jeff Moehlis;Philip Holmes

  • Low-Dimensional Modelling of Turbulence Using the Proper Orthogonal Decomposition: A Tutorial

    Troy R. Smith;Jeff Moehlis;Philip Holmes

  • Generalized parametric resonance in electrostatically actuated microelectromechanical oscillators

    Jeffrey F. Rhoads;Steven W. Shaw;Kimberly L. Turner;Jeff Moehlis

  • Isostables, isochrons, and Koopman spectrum for the action-angle representation of stable fixed point dynamics

    Alexandre Mauroy;Igor Mezić;Jeff Moehlis

  • A low-dimensional model for turbulent shear flows

    Jeff Moehlis;Holger Faisst;Bruno Eckhardt

  • Linear and Nonlinear Tuning of Parametrically Excited MEMS Oscillators

    B.E. DeMartini;J.F. Rhoads;K.L. Turner;S.W. Shaw

  • Optimal Inputs for Phase Models of Spiking Neurons

    Jeff Moehlis;Eric Shea-Brown;Herschel Rabitz

  • Chaos for a Microelectromechanical Oscillator Governed by the Nonlinear Mathieu Equation

    B.E. DeMartini;H.E. Butterfield;J. Moehlis;K.L. Turner

  • Globally Coupled Oscillator Networks

    Eric Brown;Philip Holmes;Jeff Moehlis

  • A broadband vibrational energy harvester

    Louis Van Blarigan;Per Danzl;Jeff Moehlis

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

    Abbey B. Holt;Dan Wilson;Max Shinn;Jeff Moehlis

  • Phase reduction and phase-based optimal control for biological systems: a tutorial.

    Bharat Monga;Dan Wilson;Timothy Matchen;Jeff Moehlis

  • Coarse-grained analysis of stochasticity-induced switching between collective motion states

    Allison Kolpas;Jeff Moehlis;Ioannis G. Kevrekidis

  • Models for turbulent plane Couette flow using the proper orthogonal decomposition

    J. Moehlis;T. R. Smith;P. Holmes;H. Faisst

  • Optimal Chaotic Desynchronization for Neural Populations

    Dan Wilson;Jeff Moehlis

  • Controlling biological networks by time-delayed signals

    Gábor Orosz;Jeff Moehlis;Richard M. Murray

  • Event-based minimum-time control of oscillatory neuron models: Phase randomization, maximal spike rate increase, and desynchronization

    Per Danzl;João Hespanha;Jeff Moehlis

  • Minimum energy desynchronizing control for coupled neurons

    Ali Nabi;Mohammad Mirzadeh;Frederic Gibou;Jeff Moehlis

  • The Influence of Spike Rate and Stimulus Duration on Noradrenergic Neurons

    Eric Brown;Jeff Moehlis;Philip Holmes;Ed Clayton

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

    Leonardo A. B. Torres;Joao P. Hespanha;Jeff Moehlis

  • Equivariant dynamical systems

    Jeff Moehlis;Edgar Knobloch

Frequent Co-Authors

Edgar Knobloch
Edgar Knobloch University of California, Berkeley
Philip Holmes
Philip Holmes Princeton University
Theoden I. Netoff
Theoden I. Netoff University of Minnesota
Kimberly L. Turner
Kimberly L. Turner University of California, Santa Barbara
Bruno Eckhardt
Bruno Eckhardt Philipp University of Marburg
Steven W. Shaw
Steven W. Shaw Florida Institute of Technology
Rafal Bogacz
Rafal Bogacz University of Oxford
Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara
Francesco Bullo
Francesco Bullo University of California, Santa Barbara

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