Biblio

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2014
J. Moehlis, “Improving the Precision of Noisy Oscillators”, Physica D-nonlinear Phenomena, vol. 272, p. 8–17, 2014.
A. Mauroy, B. Rhoads, J. Moehlis, and I. Mezic, “Global Isochrons and Phase Sensitivity of Bursting Neurons”, Siam Journal on Applied Dynamical Systems, vol. 13, p. 306–338, 2014.
D. Wilson and J. Moehlis, “Optimal Chaotic Desynchronization For Neural Populations”, Siam Journal on Applied Dynamical Systems, vol. 13, p. 276–305, 2014.
2013
2012
A. Nabi and J. Moehlis, “Time Optimal Control of Spiking Neurons”, Journal of Mathematical Biology, vol. 64, p. 981–1004, 2012.
L. Van Blarigan, P. Danzl, and J. Moehlis, “A Broadband Vibrational Energy Harvester”, Applied Physics Letters, vol. 100, p. –, 2012.
2011
T. Stigen, P. Danzl, J. Moehlis, and T. Netoff, “Controlling Spike Timing and Synchrony In Oscillatory Neurons”, Journal of Neurophysiology, vol. 105, p. 2074–2082, 2011.
V. Srivastava, J. Moehlis, and F. Bullo, “On Bifurcations In Nonlinear Consensus Networks”, Journal of Nonlinear Science, vol. 21, p. 875–895, 2011.
A. Nabi and J. Moehlis, “Single Input Optimal Control For Globally Coupled Neuron Networks”, Journal of Neural Engineering, vol. 8, p. –, 2011.
2010
M. Busch and J. Moehlis, “Analysis of A Class of Symmetric Equilibrium Configurations For A Territorial Model”, Numerical Mathematics-theory Methods and Applications, vol. 3, p. 143–161, 2010.
G. Orosz, J. Moehlis, and R. M. Murray, “Controlling Biological Networks By Time-delayed Signals”, Philosophical Transactions of the Royal Society A-mathematical Physical and Engineering Sciences, vol. 368, p. 439–454, 2010.
P. Danzl, A. Nabi, and J. Moehlis, “Charge-balanced Spike Timing Control For Phase Models of Spiking Neurons”, Discrete and Continuous Dynamical Systems, vol. 28, p. 1413–1435, 2010.
H. M. Osinga and J. Moehlis, “Continuation-based Computation of Global Isochrons”, Siam Journal on Applied Dynamical Systems, vol. 9, p. 1201–1228, 2010.
2009
G. Orosz, J. Moehlis, and P. Ashwin, “Designing the Dynamics of Globally Coupled Oscillators”, Progress of theoretical Physics, vol. 122, p. 611–630, 2009.
A. Kolpas and J. Moehlis, “Optimal Switching Between Collective Motion States For Two Agents”, Applied Mathematics Letters, vol. 22, p. 600–604, 2009.
H. Li, A. Kolpas, L. Petzold, and J. Moehlis, “Parallel Simulation For A Fish Schooling Model on A General-purpose Graphics Processing Unit”, Concurrency and Computation-practice & Experience, vol. 21, p. 725–737, 2009.
R. Votel, D. A. W. Barton, T. Gotou, T. Hatanaka, M. Fujita, and J. Moehlis, “Equilibrium Configurations For A Territorial Model”, Siam Journal on Applied Dynamical Systems, vol. 8, p. 1234–1260, 2009.
2008
2007
A. Kolpas, J. Moehlis, and I. G. Kevrekidis, “Coarse-grained Analysis of Stochasticity-induced Switching Between Collective Motion States”, Proceedings of the National Academy of Sciences of the United States of America, vol. 104, p. 5931–5935, 2007.
2006
J. Moehlis, E. Shea-Brown, and H. Rabitz, “Optimal Inputs For Phase Models of Spiking Neurons”, Journal of Computational and Nonlinear Dynamics, vol. 1, p. 358–367, 2006.
L. Kim and J. Moehlis, “Transient Growth For Streak-streamwise Vortex Interactions”, Physics Letters A, vol. 358, p. 431–437, 2006.
J. Moehlis, “Canards For A Reduction of the Hodgkin-huxley Equations”, Journal of Mathematical Biology, vol. 52, p. 141–153, 2006.
2005
P. Holmes, et al., “Optimal Decisions: From Neural Spikes, Through Stochastic Differential Equations, To Behavior”, Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences, vol. E88A, p. 2496–2503, 2005.
J. Moehlis, H. Faisst, and B. Eckhardt, “Periodic Orbits and Chaotic Sets In A Low-dimensional Model For Shear Flows”, Siam Journal on Applied Dynamical Systems, vol. 4, p. 352–376, 2005.
2004