Petr Lánský
Orcid: 0000-0003-2725-1160
According to our database1,
Petr Lánský
authored at least 58 papers
between 1993 and 2023.
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Bibliography
2023
Appl. Math. Comput., 2023
2022
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion.
J. Comput. Appl. Math., 2022
Biosyst., 2022
2020
Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion.
CoRR, 2020
Commun. Nonlinear Sci. Numer. Simul., 2020
2017
2016
Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance.
Reliab. Eng. Syst. Saf., 2016
Neural Comput., 2016
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model.
Biol. Cybern., 2016
2015
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron.
Frontiers Comput. Neurosci., 2015
Biosyst., 2015
2014
2013
Inf. Sci., 2013
Parametric inference of neuronal response latency in presence of a background signal.
Biosyst., 2013
Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons.
Biosyst., 2013
Biol. Cybern., 2013
2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Neural Comput., 2011
Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation.
Neural Comput., 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
2008
PLoS Comput. Biol., 2008
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal.
Neural Comput., 2008
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models.
Biol. Cybern., 2008
2007
Neurocomputing, 2007
Biosyst., 2007
Proceedings of the Advances in Brain, 2007
Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision.
Proceedings of the Advances in Brain, 2007
2006
J. Comput. Neurosci., 2006
Similarity of interspike interval distributions and information gain in a stationary neuronal firing.
Biol. Cybern., 2006
2005
Biol. Cybern., 2005
Biol. Cybern., 2005
2004
Neural Comput., 2004
2001
Characterizing and modeling concentration-response curves of olfactory receptor cells.
Neurocomputing, 2001
1999
Computational model of the effects of stochastic conditioning on the induction of long-term potentiation and depression.
Biol. Cybern., 1999
Biol. Cybern., 1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
1997
Proceedings of the Artificial Neural Networks, 1997
1996
Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron.
J. Comput. Neurosci., 1996
1995
Biol. Cybern., 1995
Some new results on the coding of pheromone intensity in an olfactory sensory neuron.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995
1994
Neural Process. Lett., 1994
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994
1993
Stochastic model neuron without resetting of dendritic potential: application to the olfactory system.
Biol. Cybern., 1993