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Petr Lansky

Showing results (11-20 of 58) with videos related to

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Neural Computation|April 28, 2011
Firing variability is higher than deduced from the empirical coefficient of variationSusanne Ditlevsen, Petr Lansky
International Journal of Pharmaceutics|June 28, 2011
Homogeneous diffusion layer model of dissolution incorporating the initial transient phaseJakub Cupera, Petr Lansky
Biological Cybernetics|November 30, 2005
Similarity of interspike interval distributions and information gain in a stationary neuronal firingLubomir Kostal, Petr Lansky
Mathematical Biosciences and Engineering : MBE|November 20, 2013
Fano factor estimationKamil Rajdl, 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
Neural Computation|February 25, 2015
Coding accuracy is not fully determined by the neuronal modelLubomir Kostal, Petr Lansky
Drug Development and Industrial Pharmacy|October 13, 2012
On the estimate of the rate constant in the homogeneous dissolution modelJakub Cupera, Petr Lansky
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|July 28, 2010
Random effects in drug dissolutionJakub Cupera, Petr Lansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 28, 2010
Information transfer for small-amplitude signalsLubomir Kostal, Petr Lansky
Mathematical Biosciences and Engineering : MBE|November 20, 2013
PrefaceSusanne Ditlevsen, Petr Lansky
Pageof 6

Showing results (11-20 of 58) with videos related to

Sort By:
Pageof 6
Neural Computation|April 28, 2011
Firing variability is higher than deduced from the empirical coefficient of variationSusanne Ditlevsen, Petr Lansky
International Journal of Pharmaceutics|June 28, 2011
Homogeneous diffusion layer model of dissolution incorporating the initial transient phaseJakub Cupera, Petr Lansky
Biological Cybernetics|November 30, 2005
Similarity of interspike interval distributions and information gain in a stationary neuronal firingLubomir Kostal, Petr Lansky
Mathematical Biosciences and Engineering : MBE|November 20, 2013
Fano factor estimationKamil Rajdl, 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
Neural Computation|February 25, 2015
Coding accuracy is not fully determined by the neuronal modelLubomir Kostal, Petr Lansky
Drug Development and Industrial Pharmacy|October 13, 2012
On the estimate of the rate constant in the homogeneous dissolution modelJakub Cupera, Petr Lansky
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|July 28, 2010
Random effects in drug dissolutionJakub Cupera, Petr Lansky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 28, 2010
Information transfer for small-amplitude signalsLubomir Kostal, Petr Lansky
Mathematical Biosciences and Engineering : MBE|November 20, 2013
PrefaceSusanne Ditlevsen, Petr Lansky
Pageof 6