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Susanne Ditlevsen

Showing results (1-10 of 59) with videos related to

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Mathematical Biosciences and Engineering : MBE|November 20, 2013
PrefaceSusanne Ditlevsen, Petr Lansky
Plos One|May 16, 2019
Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neuronsKang Li, Susanne Ditlevsen
Statistics in Medicine|July 19, 2006
A comment on: statistical evaluation of biomarkers as surrogate endpoints: a literature review by C. J. Weir and R. J. Walley, Statistics in Medicine 2006; 25:183-203Susanne Ditlevsen, Niels Keiding
Mathematical Biosciences and Engineering : MBE|April 24, 2016
PrefaceSusanne Ditlevsen, Petr Lansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 13, 2007
Parameters of stochastic diffusion processes estimated from observations of first-hitting times: application to the leaky integrate-and-fire neuronal modelSusanne Ditlevsen, Petr Lansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Only through perturbation can relaxation times be estimatedSusanne Ditlevsen, Petr Lansky
Journal of Mathematical Biology|May 25, 2012
The Morris-Lecar neuron model embeds a leaky integrate-and-fire modelSusanne Ditlevsen, Priscilla Greenwood
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 9, 2005
Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal modelSusanne Ditlevsen, Petr Lansky
Neural Computation|April 28, 2011
Firing variability is higher than deduced from the empirical coefficient of variationSusanne Ditlevsen, Petr Lansky
Biological Cybernetics|May 23, 2008
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal modelsPetr Lansky, Susanne Ditlevsen
Pageof 6

Showing results (1-10 of 59) with videos related to

Sort By:
Pageof 6
Mathematical Biosciences and Engineering : MBE|November 20, 2013
PrefaceSusanne Ditlevsen, Petr Lansky
Plos One|May 16, 2019
Neural decoding with visual attention using sequential Monte Carlo for leaky integrate-and-fire neuronsKang Li, Susanne Ditlevsen
Statistics in Medicine|July 19, 2006
A comment on: statistical evaluation of biomarkers as surrogate endpoints: a literature review by C. J. Weir and R. J. Walley, Statistics in Medicine 2006; 25:183-203Susanne Ditlevsen, Niels Keiding
Mathematical Biosciences and Engineering : MBE|April 24, 2016
PrefaceSusanne Ditlevsen, Petr Lansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 13, 2007
Parameters of stochastic diffusion processes estimated from observations of first-hitting times: application to the leaky integrate-and-fire neuronal modelSusanne Ditlevsen, Petr Lansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Only through perturbation can relaxation times be estimatedSusanne Ditlevsen, Petr Lansky
Journal of Mathematical Biology|May 25, 2012
The Morris-Lecar neuron model embeds a leaky integrate-and-fire modelSusanne Ditlevsen, Priscilla Greenwood
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 9, 2005
Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal modelSusanne Ditlevsen, Petr Lansky
Neural Computation|April 28, 2011
Firing variability is higher than deduced from the empirical coefficient of variationSusanne Ditlevsen, Petr Lansky
Biological Cybernetics|May 23, 2008
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal modelsPetr Lansky, Susanne Ditlevsen
Pageof 6