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Petr Lánský
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2020 – today
- 2023
- [j46]Petr Lánský, Federico Polito, Laura Sacerdote
:
Input-output consistency in integrate and fire interconnected neurons. Appl. Math. Comput. 440: 127630 (2023) - 2022
- [j45]Rimjhim Tomar
, Charles E. Smith, Petr Lánský:
A simple neuronal model with intrinsic saturation of the firing frequency. Biosyst. 222: 104780 (2022) - [j44]Irene Tubikanec
, Massimiliano Tamborrino
, Petr Lánský, Evelyn Buckwar
:
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion. J. Comput. Appl. Math. 406: 113951 (2022) - 2020
- [j43]Susanne Ditlevsen
, Alejandro Cencerrado Rubio, Petr Lánský
:
Transient dynamics of Pearson diffusions facilitates estimation of rate parameters. Commun. Nonlinear Sci. Numer. Simul. 82: 105034 (2020) - [j42]Kamil Rajdl, Petr Lánský, Lubomir Kostal
:
Fano Factor: A Potentially Useful Information. Frontiers Comput. Neurosci. 14: 569049 (2020) - [i3]Irene Tubikanec, Massimiliano Tamborrino, Petr Lánský, Evelyn Buckwar:
Qualitative properties of numerical methods for the inhomogeneous geometric Brownian motion. CoRR abs/2003.10193 (2020)
2010 – 2019
- 2017
- [j41]Ryota Kobayashi
, Hiroshi Nishimaru, Hisao Nishijo, Petr Lánský
:
A single spike deteriorates synaptic conductance estimation. Biosyst. 161: 41-45 (2017) - [j40]Kamil Rajdl, Petr Lánský
, Lubomir Kostal
:
Entropy factor for randomness quantification in neuronal data. Neural Networks 95: 57-65 (2017) - 2016
- [j39]Petr Lánský
, Laura Sacerdote
, Cristina Zucca:
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model. Biol. Cybern. 110(2-3): 193-200 (2016) - [j38]Marie Levakova
, Massimiliano Tamborrino
, Lubomir Kostal
, Petr Lánský
:
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding. Neural Comput. 28(10): 2162-2180 (2016) - [j37]David Valis, Libor Zák, Ondrej Pokora
, Petr Lánský
:
Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance. Reliab. Eng. Syst. Saf. 145: 231-242 (2016) - 2015
- [j36]Kamil Rajdl, Petr Lánský
:
Stein's neuronal model with pooled renewal input. Biol. Cybern. 109(3): 389-399 (2015) - [j35]Marie Levakova
, Massimiliano Tamborrino
, Susanne Ditlevsen
, Petr Lánský
:
A review of the methods for neuronal response latency estimation. Biosyst. 136: 23-34 (2015) - [j34]Ilynn Wan, Ondrej Pokora
, Tzai-Wen Chiu, Petr Lánský
, Paul Wai-Fung Poon:
Altered intensity coding in the salicylate-overdose animal model of tinnitus. Biosyst. 136: 113-119 (2015) - [j33]Ryota Kobayashi
, Jufang He
, Petr Lánský
:
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron. Frontiers Comput. Neurosci. 9: 59 (2015) - [j32]Lubomir Kostal
, Petr Lánský
:
Coding Accuracy Is Not Fully Determined by the Neuronal Model. Neural Comput. 27(5): 1051-1057 (2015) - 2014
- [j31]Marie Levakova
, Susanne Ditlevsen
, Petr Lánský
:
Estimating latency from inhibitory input. Biol. Cybern. 108(4): 475-493 (2014) - 2013
- [j30]Lubomir Kostal
, Petr Lánský
, Mark D. McDonnell
:
Metabolic cost of neuronal information in an empirical stimulus-response model. Biol. Cybern. 107(3): 355-365 (2013) - [j29]Massimiliano Tamborrino
, Susanne Ditlevsen
, Petr Lánský
:
Parametric inference of neuronal response latency in presence of a background signal. Biosyst. 112(3): 249-257 (2013) - [j28]Lubomir Kostal
, Petr Lánský
:
Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons. Biosyst. 112(3): 265-275 (2013) - [j27]Lubomir Kostal
, Petr Lánský
, Ondrej Pokora
:
Measures of statistical dispersion based on Shannon and Fisher information concepts. Inf. Sci. 235: 214-223 (2013) - [i2]Petr Lánský, Federico Polito, Laura Sacerdote:
The role of detachment of links in scale-free networks. CoRR abs/1309.7823 (2013) - 2012
- [c9]Lubomir Kostal, Petr Lánský, Ondrej Pokora:
How regular is neuronal activity? ESANN 2012 - 2011
- [j26]Susanne Ditlevsen
, Petr Lánský
:
Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation. Neural Comput. 23(8): 1944-1966 (2011) - [j25]Ryota Kobayashi
, Shigeru Shinomoto
, Petr Lánský
:
Estimation of Time-Dependent Input from Neuronal Membrane Potential. Neural Comput. 23(12): 3070-3093 (2011) - [c8]Ryota Kobayashi, Yasuhiro Tsubo, Petr Lánský, Shigeru Shinomoto:
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron. NIPS 2011: 217-225 - 2010
- [j24]Zbynek Pawlas
, Lev Klebanov
, Viktor Benes
, Michaela Prokesová
, Jirí Popelár, Petr Lánský
:
First-Spike Latency in the Presence of Spontaneous Activity. Neural Comput. 22(7): 1675-1697 (2010) - [i1]Lubomir Kostal, Petr Lánský:
Information transfer with small-amplitude signals. CoRR abs/1008.2066 (2010)
2000 – 2009
- 2008
- [j23]Petr Lánský
, Susanne Ditlevsen
:
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models. Biol. Cybern. 99(4-5): 253-262 (2008) - [j22]Zbynek Pawlas, Lev Klebanov, Martin Prokop, Petr Lánský
:
Parameters of Spike Trains Observed in a Short Time Window. Neural Comput. 20(5): 1325-1343 (2008) - [j21]Umberto Picchini
, Susanne Ditlevsen
, Andrea De Gaetano
, Petr Lánský
:
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. Neural Comput. 20(11): 2696-2714 (2008) - [j20]Lubomir Kostal
, Petr Lánský
, Jean-Pierre Rospars:
Efficient Olfactory Coding in the Pheromone Receptor Neuron of a Moth. PLoS Comput. Biol. 4(4) (2008) - 2007
- [j19]Petr Lánský
, Priscilla E. Greenwood:
Optimal signal in sensory neurons under an extended rate coding concept. Biosyst. 89(1-3): 10-15 (2007) - [j18]Lubomir Kostal
, Petr Lánský
:
Variability and randomness in stationary neuronal activity. Biosyst. 89(1-3): 44-49 (2007) - [j17]Lubomir Kostal
, Petr Lánský
, Jean-Pierre Rospars:
Encoding of pheromone intensity by dynamic activation of pheromone receptors. Neurocomputing 70(10-12): 1759-1763 (2007) - [c7]Petr Lánský
, Ondrej Pokora
, Jean-Pierre Rospars:
Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision. BVAI 2007: 338-349 - [c6]Ondrej Pokora, Petr Lánský
:
Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons. BVAI 2007: 360-367 - 2006
- [j16]Lubomir Kostal
, Petr Lánský
:
Similarity of interspike interval distributions and information gain in a stationary neuronal firing. Biol. Cybern. 94(2): 157-167 (2006) - [j15]Petr Lánský
, Pavel Sanda
, Jufang He
:
The parameters of the stochastic leaky integrate-and-fire neuronal model. J. Comput. Neurosci. 21(2): 211-223 (2006) - 2005
- [j14]Priscilla E. Greenwood, Petr Lánský
:
Optimum signal in a simple neuronal model with signal-dependent noise. Biol. Cybern. 92(3): 199-205 (2005) - [j13]Petr Marsalek
, Petr Lánský
:
Proposed mechanisms for coincidence detection in the auditory brainstem. Biol. Cybern. 92(6): 445-451 (2005) - [j12]Petr Lánský
, Priscilla E. Greenwood:
Optimal Signal Estimation in Neuronal Models. Neural Comput. 17(10): 2240-2257 (2005) - 2004
- [j11]Petr Lánský
, Roger Rodriguez, Laura Sacerdote
:
Mean Instantaneous Firing Frequency Is Always Higher Than the Firing Rate. Neural Comput. 16(3): 477-489 (2004) - 2001
- [j10]Jean-Pierre Rospars, Petr Lánský
, Patricia Duchamp-Viret
, André Duchamp:
Characterizing and modeling concentration-response curves of olfactory receptor cells. Neurocomputing 38-40: 319-325 (2001) - [j9]Petr Lánský
, André A. Fenton
, Jean Vaillant
:
The overdispersion in activity of place cells. Neurocomputing 38-40: 1393-1399 (2001)
1990 – 1999
- 1999
- [j8]Petr Lánský
, Roger Rodriguez:
The spatial properties of a model neuron increase its coding range. Biol. Cybern. 81(2): 161-167 (1999) - [j7]Michele Migliore
, Petr Lánský
:
Computational model of the effects of stochastic conditioning on the induction of long-term potentiation and depression. Biol. Cybern. 81(4): 291-298 (1999) - [c5]Roger Rodriguez, Petr Lánský
:
Two-Compartment Stochastic Model of a Neuron with Periodic Input. IWANN (1) 1999: 240-247 - [c4]Petr Lánský
, Jean Vaillant
:
Stochastic Model of the Place Cell Discharge. IWANN (1) 1999: 248-257 - 1997
- [j6]Henry C. Tuckwell, Petr Lánský
:
On the simulation of biological diffusion processes. Comput. Biol. Medicine 27(1): 1-7 (1997) - [c3]Petr Lánský, Vera Lánská:
Noise in Integrate-and-Fire Models of Neuronal Dynamics. ICANN 1997: 49-54 - 1996
- [j5]Jean-Pierre Rospars, Petr Lánský
, Henry C. Tuckwell, Arthur Vermeulen:
Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron. J. Comput. Neurosci. 3(1): 51-72 (1996) - 1995
- [j4]Petr Lánský
, Jean-Pierre Rospars:
Ornstein-Uhlenbeck model neuron revisited. Biol. Cybern. 72(5): 397-406 (1995) - [j3]Petr Lánský
, Laura Sacerdote
, Francesca Tomassetti:
On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity. Biol. Cybern. 73(5): 457-465 (1995) - [c2]Arthur Vermeulen, Jean-Pierre Rospars, Petr Lánský, Henry C. Tuckwell:
Some new results on the coding of pheromone intensity in an olfactory sensory neuron. ESANN 1995 - 1994
- [j2]Petr Lánský
, Jean-Pierre Rospars, Arthur Vermeulen:
Basic mechanisms of coding stimulus intensity in the olfactory sensory neuron. Neural Process. Lett. 1(1): 9-12 (1994) - [c1]Jean-Pierre Rospars, Petr Lánský:
Stochastic model of odor intensity coding in first-order olfactory neurons. ESANN 1994 - 1993
- [j1]Jean-Pierre Rospars, Petr Lánský
:
Stochastic model neuron without resetting of dendritic potential: application to the olfactory system. Biol. Cybern. 69(4): 283-294 (1993)
Coauthor Index
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