Stochastic model neuron without resetting of dendritic potential: application to the olfactory system. - Jean-Pierre Rospars; Petr Lánský (Biol. Cybern., 1993)

Stochastic model of odor intensity coding in first-order olfactory neurons. - Jean-Pierre Rospars; Petr Lánský (ESANN, 1994)

Basic mechanisms of coding stimulus intensity in the olfactory sensory neuron. - Petr Lánský; Jean-Pierre Rospars; Arthur Vermeulen (Neural Process. Lett., 1994)

Some new results on the coding of pheromone intensity in an olfactory sensory neuron. - Arthur Vermeulen; Jean-Pierre Rospars; Petr Lánský; Henry C. Tuckwell (ESANN, 1995)

Ornstein-Uhlenbeck model neuron revisited. - Petr Lánský; Jean-Pierre Rospars (Biol. Cybern., 1995)

On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity. - Petr Lánský; Laura Sacerdote; Francesca Tomassetti (Biol. Cybern., 1995)

Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron. - Jean-Pierre Rospars; Petr Lánský; Henry C. Tuckwell; Arthur Vermeulen (J. Comput. Neurosci., 1996)

Noise in Integrate-and-Fire Models of Neuronal Dynamics. - Petr Lánský; Vera Lánská (ICANN, 1997)

On the simulation of biological diffusion processes. - Henry C. Tuckwell; Petr Lánský (Comput. Biol. Medicine, 1997)

Stochastic Model of the Place Cell Discharge. - Petr Lánský; Jean Vaillant (IWANN (1), 1999)

Two-Compartment Stochastic Model of a Neuron with Periodic Input. - Roger Rodriguez; Petr Lánský (IWANN (1), 1999)

The spatial properties of a model neuron increase its coding range. - Petr Lánský; Roger Rodriguez (Biol. Cybern., 1999)

Computational model of the effects of stochastic conditioning on the induction of long-term potentiation and depression. - Michele Migliore; Petr Lánský (Biol. Cybern., 1999)

The overdispersion in activity of place cells. - Petr Lánský; André A. Fenton; Jean Vaillant (Neurocomputing, 2001)

Characterizing and modeling concentration-response curves of olfactory receptor cells. - Jean-Pierre Rospars; Petr Lánský; Patricia Duchamp-Viret; André Duchamp (Neurocomputing, 2001)

Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate. - Petr Lánský; Roger Rodriguez; Laura Sacerdote (Neural Comput., 2004)

Optimum signal in a simple neuronal model with signal-dependent noise. - Priscilla E. Greenwood; Petr Lánský (Biol. Cybern., 2005)

Proposed mechanisms for coincidence detection in the auditory brainstem. - Petr Marsalek; Petr Lánský (Biol. Cybern., 2005)

Optimal Signal Estimation in Neuronal Models. - Petr Lánský; Priscilla E. Greenwood (Neural Comput., 2005)

Similarity of interspike interval distributions and information gain in a stationary neuronal firing. - Lubomir Kostal; Petr Lánský (Biol. Cybern., 2006)

The parameters of the stochastic leaky integrate-and-fire neuronal model. - Petr Lánský; Pavel Sanda; Jufang He (J. Comput. Neurosci., 2006)

Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision. - Petr Lánský; Ondrej Pokora; Jean-Pierre Rospars (BVAI, 2007)

Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons. - Ondrej Pokora; Petr Lánský (BVAI, 2007)

Variability and randomness in stationary neuronal activity. - Lubomir Kostal; Petr Lánský (Biosyst., 2007)

Optimal signal in sensory neurons under an extended rate coding concept. - Petr Lánský; Priscilla E. Greenwood (Biosyst., 2007)

Encoding of pheromone intensity by dynamic activation of pheromone receptors. - Lubomir Kostal; Petr Lánský; Jean-Pierre Rospars (Neurocomputing, 2007)

A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models. - Petr Lánský; Susanne Ditlevsen (Biol. Cybern., 2008)

Parameters of Spike Trains Observed in a Short Time Window. - Zbynek Pawlas; Lev Klebanov; Martin Prokop; Petr Lánský (Neural Comput., 2008)

Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. - Umberto Picchini; Susanne Ditlevsen; Andrea De Gaetano; Petr Lánský (Neural Comput., 2008)

Efficient Olfactory Coding in the Pheromone Receptor Neuron of a Moth. - Lubomir Kostal; Petr Lánský; Jean-Pierre Rospars (PLoS Comput. Biol., 2008)

Information transfer with small-amplitude signals - Lubomir Kostal; Petr Lánský (CoRR, 2010)

First-Spike Latency in the Presence of Spontaneous Activity. - Zbynek Pawlas; Lev Klebanov; Viktor Benes; Michaela Prokesová; Jirí Popelár; Petr Lánský (Neural Comput., 2010)

Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron. - Ryota Kobayashi; Yasuhiro Tsubo; Petr Lánský; Shigeru Shinomoto (NIPS, 2011)

Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation. - Susanne Ditlevsen; Petr Lánský (Neural Comput., 2011)

Estimation of Time-Dependent Input from Neuronal Membrane Potential. - Ryota Kobayashi; Shigeru Shinomoto; Petr Lánský (Neural Comput., 2011)

How regular is neuronal activity? - Lubomir Kostal; Petr Lánský; Ondrej Pokora (ESANN, 2012)

Metabolic cost of neuronal information in an empirical stimulus-response model. - Lubomir Kostal; Petr Lánský; Mark D. McDonnell (Biol. Cybern., 2013)

Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons. - Lubomir Kostal; Petr Lánský (Biosyst., 2013)

Parametric inference of neuronal response latency in presence of a background signal. - Massimiliano Tamborrino; Susanne Ditlevsen; Petr Lánský (Biosyst., 2013)

The role of detachment of links in scale-free networks. - Petr Lánský; Federico Polito; Laura Sacerdote (CoRR, 2013)

Measures of statistical dispersion based on Shannon and Fisher information concepts. - Lubomir Kostal; Petr Lánský; Ondrej Pokora (Inf. Sci., 2013)

Estimating latency from inhibitory input. - Marie Levakova; Susanne Ditlevsen; Petr Lánský (Biol. Cybern., 2014)

Stein's neuronal model with pooled renewal input. - Kamil Rajdl; Petr Lánský (Biol. Cybern., 2015)

A review of the methods for neuronal response latency estimation. - Marie Levakova; Massimiliano Tamborrino; Susanne Ditlevsen; Petr Lánský (Biosyst., 2015)

Altered intensity coding in the salicylate-overdose animal model of tinnitus. - Ilynn Wan; Ondrej Pokora; Tzai-Wen Chiu; Petr Lánský; Paul Wai-Fung Poon (Biosyst., 2015)

Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron. - Ryota Kobayashi; Jufang He; Petr Lánský (Frontiers Comput. Neurosci., 2015)

Coding Accuracy Is Not Fully Determined by the Neuronal Model. - Lubomir Kostal; Petr Lánský (Neural Comput., 2015)

The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model. - Petr Lánský; Laura Sacerdote; Cristina Zucca (Biol. Cybern., 2016)

Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding. - Marie Levakova; Massimiliano Tamborrino; Lubomir Kostal; Petr Lánský (Neural Comput., 2016)

Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance. - David Valis; Libor Zák; Ondrej Pokora; Petr Lánský (Reliab. Eng. Syst. Saf., 2016)

A single spike deteriorates synaptic conductance estimation. - Ryota Kobayashi; Hiroshi Nishimaru; Hisao Nishijo; Petr Lánský (Biosyst., 2017)

Entropy factor for randomness quantification in neuronal data. - Kamil Rajdl; Petr Lánský; Lubomir Kostal (Neural Networks, 2017)

Transient dynamics of Pearson diffusions facilitates estimation of rate parameters. - Susanne Ditlevsen; Alejandro Cencerrado Rubio; Petr Lánský (Commun. Nonlinear Sci. Numer. Simul., 2020)

Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion. - Irene Tubikanec; Massimiliano Tamborrino; Petr Lánský; Evelyn Buckwar (CoRR, 2020)

Fano Factor: A Potentially Useful Information. - Kamil Rajdl; Petr Lánský; Lubomir Kostal (Frontiers Comput. Neurosci., 2020)

A simple neuronal model with intrinsic saturation of the firing frequency. - Rimjhim Tomar; Charles E. Smith; Petr Lánský (Biosyst., 2022)

Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion. - Irene Tubikanec; Massimiliano Tamborrino; Petr Lánský; Evelyn Buckwar (J. Comput. Appl. Math., 2022)

Input-output consistency in integrate and fire interconnected neurons. - Petr Lánský; Federico Polito; Laura Sacerdote (Appl. Math. Comput., 2023)