Petr Lánský

58 papers B 3C 1Journal 49Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Input-output consistency in integrate and fire interconnected neurons.
Appl. Math. Comput.
Petr Lánský, Federico Polito, Laura Sacerdote
2022 J jnl
A simple neuronal model with intrinsic saturation of the firing frequency.
Biosyst.
Rimjhim Tomar, Charles E. Smith, Petr Lánský
2022 J jnl
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion.
J. Comput. Appl. Math.
Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar
2020 J jnl
Fano Factor: A Potentially Useful Information.
Frontiers Comput. Neurosci.
Kamil Rajdl, Petr Lánský, Lubomir Kostal
2020 J jnl
Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion.
CoRR
Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar
2020 J jnl
Transient dynamics of Pearson diffusions facilitates estimation of rate parameters.
Commun. Nonlinear Sci. Numer. Simul.
Susanne Ditlevsen, Alejandro Cencerrado Rubio, Petr Lánský
2017 J jnl
A single spike deteriorates synaptic conductance estimation.
Biosyst.
Ryota Kobayashi, Hiroshi Nishimaru, Hisao Nishijo, Petr Lánský
2017 J jnl
Entropy factor for randomness quantification in neuronal data.
Neural Networks
Kamil Rajdl, Petr Lánský, Lubomir Kostal
2016 J jnl
Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance.
Reliab. Eng. Syst. Saf.
David Valis, Libor Zák, Ondrej Pokora, Petr Lánský
2016 J jnl
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding.
Neural Comput.
Marie Levakova, Massimiliano Tamborrino, Lubomir Kostal, Petr Lánský
2016 J jnl
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model.
Biol. Cybern.
Petr Lánský, Laura Sacerdote, Cristina Zucca
2015 J jnl
A review of the methods for neuronal response latency estimation.
Biosyst.
Marie Levakova, Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lánský
2015 J jnl
Altered intensity coding in the salicylate-overdose animal model of tinnitus.
Biosyst.
Ilynn Wan, Ondrej Pokora, Tzai-Wen Chiu, Petr Lánský, Paul Wai-Fung Poon
2015 J jnl
Coding Accuracy Is Not Fully Determined by the Neuronal Model.
Neural Comput.
Lubomir Kostal, Petr Lánský
2015 J jnl
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron.
Frontiers Comput. Neurosci.
Ryota Kobayashi, Jufang He, Petr Lánský
2015 J jnl
Stein's neuronal model with pooled renewal input.
Biol. Cybern.
Kamil Rajdl, Petr Lánský
2014 J jnl
Estimating latency from inhibitory input.
Biol. Cybern.
Marie Levakova, Susanne Ditlevsen, Petr Lánský
2013 J jnl
Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons.
Biosyst.
Lubomir Kostal, Petr Lánský
2013 J jnl
Measures of statistical dispersion based on Shannon and Fisher information concepts.
Inf. Sci.
Lubomir Kostal, Petr Lánský, Ondrej Pokora
2013 J jnl
Metabolic cost of neuronal information in an empirical stimulus-response model.
Biol. Cybern.
Lubomir Kostal, Petr Lánský, Mark D. McDonnell
2013 J jnl
Parametric inference of neuronal response latency in presence of a background signal.
Biosyst.
Massimiliano Tamborrino, Susanne Ditlevsen, Petr Lánský
2013 J jnl
The role of detachment of links in scale-free networks.
CoRR
Petr Lánský, Federico Polito, Laura Sacerdote
2012 B conf
How regular is neuronal activity?
ESANN
Lubomir Kostal, Petr Lánský, Ondrej Pokora
2011 — conf
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron.
NIPS
Ryota Kobayashi, Yasuhiro Tsubo, Petr Lánský, Shigeru Shinomoto
2011 J jnl
Estimation of Time-Dependent Input from Neuronal Membrane Potential.
Neural Comput.
Ryota Kobayashi, Shigeru Shinomoto, Petr Lánský
2011 J jnl
Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation.
Neural Comput.
Susanne Ditlevsen, Petr Lánský
2010 J jnl
First-Spike Latency in the Presence of Spontaneous Activity.
Neural Comput.
Zbynek Pawlas, Lev Klebanov, Viktor Benes, Michaela Prokesová, Jirí Popelár, Petr Lánský
2010 J jnl
Information transfer with small-amplitude signals
CoRR
Lubomir Kostal, Petr Lánský
2008 J jnl
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models.
Biol. Cybern.
Petr Lánský, Susanne Ditlevsen
2008 J jnl
Efficient Olfactory Coding in the Pheromone Receptor Neuron of a Moth.
PLoS Comput. Biol.
Lubomir Kostal, Petr Lánský, Jean-Pierre Rospars
2008 J jnl
Parameters of Spike Trains Observed in a Short Time Window.
Neural Comput.
Zbynek Pawlas, Lev Klebanov, Martin Prokop, Petr Lánský
2008 J jnl
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal.
Neural Comput.
Umberto Picchini, Susanne Ditlevsen, Andrea De Gaetano, Petr Lánský
2007 J jnl
Encoding of pheromone intensity by dynamic activation of pheromone receptors.
Neurocomputing
Lubomir Kostal, Petr Lánský, Jean-Pierre Rospars
2007 J jnl
Optimal signal in sensory neurons under an extended rate coding concept.
Biosyst.
Petr Lánský, Priscilla E. Greenwood
2007 — conf
Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons.
BVAI
Ondrej Pokora, Petr Lánský
2007 — conf
Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision.
BVAI
Petr Lánský, Ondrej Pokora, Jean-Pierre Rospars
2007 J jnl
Variability and randomness in stationary neuronal activity.
Biosyst.
Lubomir Kostal, Petr Lánský
2006 J jnl
Similarity of interspike interval distributions and information gain in a stationary neuronal firing.
Biol. Cybern.
Lubomir Kostal, Petr Lánský
2006 J jnl
The parameters of the stochastic leaky integrate-and-fire neuronal model.
J. Comput. Neurosci.
Petr Lánský, Pavel Sanda, Jufang He
2005 J jnl
Optimal Signal Estimation in Neuronal Models.
Neural Comput.
Petr Lánský, Priscilla E. Greenwood
2005 J jnl
Optimum signal in a simple neuronal model with signal-dependent noise.
Biol. Cybern.
Priscilla E. Greenwood, Petr Lánský
2005 J jnl
Proposed mechanisms for coincidence detection in the auditory brainstem.
Biol. Cybern.
Petr Marsalek, Petr Lánský
2004 J jnl
Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate.
Neural Comput.
Petr Lánský, Roger Rodriguez, Laura Sacerdote
2001 J jnl
Characterizing and modeling concentration-response curves of olfactory receptor cells.
Neurocomputing
Jean-Pierre Rospars, Petr Lánský, Patricia Duchamp-Viret, André Duchamp
2001 J jnl
The overdispersion in activity of place cells.
Neurocomputing
Petr Lánský, André A. Fenton, Jean Vaillant
1999 J jnl
Computational model of the effects of stochastic conditioning on the induction of long-term potentiation and depression.
Biol. Cybern.
Michele Migliore, Petr Lánský
1999 — conf
Stochastic Model of the Place Cell Discharge.
IWANN (1)
Petr Lánský, Jean Vaillant
1999 J jnl
The spatial properties of a model neuron increase its coding range.
Biol. Cybern.
Petr Lánský, Roger Rodriguez
1999 — conf
Two-Compartment Stochastic Model of a Neuron with Periodic Input.
IWANN (1)
Roger Rodriguez, Petr Lánský
1997 C conf
Noise in Integrate-and-Fire Models of Neuronal Dynamics.
ICANN
Petr Lánský, Vera Lánská
1997 J jnl
On the simulation of biological diffusion processes.
Comput. Biol. Medicine
Henry C. Tuckwell, Petr Lánský
1996 J jnl
Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron.
J. Comput. Neurosci.
Jean-Pierre Rospars, Petr Lánský, Henry C. Tuckwell, Arthur Vermeulen
1995 J jnl
On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity.
Biol. Cybern.
Petr Lánský, Laura Sacerdote, Francesca Tomassetti
1995 J jnl
Ornstein-Uhlenbeck model neuron revisited.
Biol. Cybern.
Petr Lánský, Jean-Pierre Rospars
1995 B conf
Some new results on the coding of pheromone intensity in an olfactory sensory neuron.
ESANN
Arthur Vermeulen, Jean-Pierre Rospars, Petr Lánský, Henry C. Tuckwell
1994 J jnl
Basic mechanisms of coding stimulus intensity in the olfactory sensory neuron.
Neural Process. Lett.
Petr Lánský, Jean-Pierre Rospars, Arthur Vermeulen
1994 B conf
Stochastic model of odor intensity coding in first-order olfactory neurons.
ESANN
Jean-Pierre Rospars, Petr Lánský
1993 J jnl
Stochastic model neuron without resetting of dendritic potential: application to the olfactory system.
Biol. Cybern.
Jean-Pierre Rospars, Petr Lánský