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Mathematical Biosciences and Engineering : MBE|November 20, 2013
PrefaceSusanne Ditlevsen, Petr LanskyPhysical 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 LanskyPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Only through perturbation can relaxation times be estimatedSusanne Ditlevsen, Petr LanskyPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 16, 2006
Estimation of the input parameters in the Feller neuronal modelSusanne Ditlevsen, Petr LanskyPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 9, 2005
Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal modelSusanne Ditlevsen, Petr LanskyNeural Computation|April 28, 2011
Firing variability is higher than deduced from the empirical coefficient of variationSusanne Ditlevsen, Petr LanskyBiological Cybernetics|May 23, 2008
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal modelsPetr Lansky, Susanne DitlevsenBiological Cybernetics|June 26, 2014
Estimating latency from inhibitory inputMarie Levakova, Susanne Ditlevsen, Petr LanskyPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Identification of noisy response latencyMassimiliano Tamborrino, Susanne Ditlevsen, Petr LanskyPageof 11