Per Danzl, Ph.D.

Affiliations: 
2010 University of California, Santa Barbara, Santa Barbara, CA, United States 
Area:
Applied Mathematics, Biomedical Engineering, Neuroscience Biology
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"Per Danzl"

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Jeffrey Michael Moehlis grad student 2010 UC Santa Barbara
 (Dynamical characterization and feedback control of oscillatory neural systems.)
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Publications

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Van Blarigan L, Danzl P, Moehlis J. (2012) A broadband vibrational energy harvester Applied Physics Letters. 100
Stigen T, Danzl P, Moehlis J, et al. (2011) Controlling spike timing and synchrony in oscillatory neurons. Journal of Neurophysiology. 105: 2074-82
Stigen T, Danzl P, Moehlis J, et al. (2011) Controlling Spike Timing and Synchrony in Oscillatory Neurons. Journal of Neurophysiology
Danzl P, Nabi A, Moehlis J. (2010) Charge-balanced spike timing control for phase models of spiking neurons Discrete and Continuous Dynamical Systems. 28: 1413-1435
Danzl P, Moehlis J. (2010) Weakly coupled parametrically forced oscillator networks: Existence, stability, and symmetry of solutions Nonlinear Dynamics. 59: 661-680
Stigen T, Danzl P, Moehlis J, et al. (2009) Linear control of neuronal spike timing using phase response curves. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2009: 1541-4
Danzl P, Hespanha J, Moehlis J. (2009) Event-based minimum-time control of oscillatory neuron models: phase randomization, maximal spike rate increase, and desynchronization. Biological Cybernetics. 101: 387-99
Danzl P, Hansen R, Bonnet G, et al. (2008) Partial phase synchronization of neural populations due to random Poisson inputs. Journal of Computational Neuroscience. 25: 141-57
Danzl P, Moehlis J. (2008) Spike timing control of oscillatory neuron models using impulsive and quasi-impulsive charge-balanced inputs Proceedings of the American Control Conference. 171-176
Danzl P, Moehlis J. (2007) Event-based feedback control of nonlinear oscillators using phase response curves Proceedings of the Ieee Conference On Decision and Control. 5806-5811
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