Výzkum
Využíváme metody teorie informace, stochastických procesů, diferenciálních rovnich a statistiky pro popis procesů v nervových systémech na úrovni jednotlivých buněk i jejich populací. Zaměřujeme se především na problém neurálního kódování, matematické modely nervové aktivity, biofyzikální modelování růstu axonů a formování sítí. Výsledky ověřujeme na experimentálních datech a počítačových simulacích.
Organizační aktivity:
Publikace
Bárta; Tomáš - Košťál; Lubomír
.
Shared input and recurrency in neural networks for metabolically efficient information transmission
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PLoS Computational Biology. 2024; 20(2); e1011896
.
IF = 4.3
[ASEP]
[
doi
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Rajdl; Kamil - Košťál; Lubomír
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Estimation of the instantaneous spike train variability
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Chaos Solitons & Fractals. 2023; 177(December); 114280
.
IF = 7.8
[ASEP]
[
doi
]
Lee; H. - Košťál; Lubomír - Kanzaki; R. - Kobayashi; R.
Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons
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Biosystems. 2023; 223(January)); 104802
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IF = 1.6
[ASEP]
[
doi
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Lánský; Petr - Polito; F. - Sacerdote; L.
Input-output consistency in integrate and fire interconnected neurons
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Applied Mathematics and Computation. 2023; 440(1 March)); 127630
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IF = 4.0
[ASEP]
[
doi
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Kortus; Štěpán - Řeháková; Kristýna - Klíma; Martin - Kolcheva; Marharyta - Ladislav; Marek - Langore; Emily - Baráčková; Petra - Netolický; Jakub - Misiachna; Anna - Hemelíková; Katarína - Humpolíčková; Jana - Chalupská; Dominika - Šilhán; Jan - Kaniaková; Martina - Hrčka Krausová; Barbora - Bouřa; Evžen - Zápotocký; Martin - Horák; Martin
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Subunit-Dependent Surface Mobility and Localization of NMDA Receptors in Hippocampal Neurons Measured Using Nanobody Probes
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Journal of Neuroscience. 2023; 43(26); 4755-4774
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IF = 5.3
[ASEP]
[
doi
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Tubikanec; I. - Tamborrino; M. - Lánský; Petr - Buckwar; E.
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion
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Journal of Computational and Applied Mathematics. 2022; 406(May 1)); 113951
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IF = 2.4
[ASEP]
[
doi
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Tomar; Rimjhim - Smith; Ch. E. - Lánský; Petr
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A simple neuronal model with intrinsic saturation of the firing frequency
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Biosystems. 2022; 222(Dec)); 104780
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IF = 1.6
[ASEP]
[
doi
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Tomar; Rimjhim - Košťál; Lubomír
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Variability and Randomness of the Instantaneous Firing Rate
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Frontiers in Computational Neuroscience. 2021; 15(Jun 7)); 620410
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IF = 3.387
[ASEP]
[
doi
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Tamborrino; M. - Lánský; Petr
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Shot noise; weak convergence and diffusion approximations
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Physica. D. 2021; 418(Apr)); 132845
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IF = 3.751
[ASEP]
[
doi
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Bárta; Tomáš - Košťál; Lubomír
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Regular spiking in high-conductance states: The essential role of inhibition
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Physical Review E. 2021; 103(2)); 022408
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IF = 2.707
[ASEP]
[
doi
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Rajdl; Kamil - Lánský; Petr - Košťál; Lubomír
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Fano Factor: A Potentially Useful Information
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Frontiers in Computational Neuroscience. 2020; 14(Nov 20)); 569049
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IF = 2.380
[ASEP]
[
doi
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Christodoulou; Ch. - Košťál; Lubomír - Sacerdote; L.
Editorial
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Biosystems. 2020; 187(Jan)); 104049
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IF = 1.973
[ASEP]
[
doi
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Ditlevsen; S. - Rubio; A. C. - Lánský; Petr
.
Transient dynamics of Pearson diffusions facilitates estimation of rate parameters
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Communications in Nonlinear Science and Numerical Simulation. 2020; 82(Mar)); 105034
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IF = 4.260
[ASEP]
[
doi
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Ascione; G. - D´Onofrio; G. - Košťál; Lubomír - Pirozzi; E.
An optimal Gauss-Markov approximation for a process with stochastic drift and applications
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Stochastic Processes and their Applications. 2020; 130(11); 6481-6514
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IF = 1.467
[ASEP]
[
doi
]
Tomar; Rimjhim
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Review: Methods of firing rate estimation
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Biosystems. 2019; 183(Sep)); 103980
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IF = 1.808
[ASEP]
[
doi
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Leváková; Marie - Košťál; Lubomír - Monsempés; Ch. - Lucas; P. - Kobayashi; R.
Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth
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Journal of the Royal Society Interface. 2019; 16(157)); 20190246
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IF = 3.748
[ASEP]
[
doi
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Košťál; Lubomír - Kobayashi; R.
Critical size of neural population for reliable information transmission
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Physical Review E. 2019; 100(5)); 050401
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IF = 2.296
[ASEP]
[
doi
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D´Onofrio; Giuseppe - Pirozzi; E.
Asymptotics of Two-boundary First-exit-time Densities for Gauss-Markov Processes
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Methodology and Computing in Applied Probability. 2019; 21(3); 735-752
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IF = 0.809
[ASEP]
[
doi
]
D´Onofrio; G. - Lánský; Petr - Tamborrino; M.
Inhibition enhances the coherence in the Jacobi neuronal model
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Chaos Solitons & Fractals. 2019; 128; 108-113
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IF = 3.764
[ASEP]
[
doi
]
Bárta; Tomáš - Košťál; Lubomír
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The effect of inhibition on rate code efficiency indicators
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PLoS Computational Biology. 2019; 15(12)); e1007545
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IF = 4.700
[ASEP]
[
doi
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Skřenková, Kristýna - Lee, S. - Lichnerová, Katarina - Kaniaková, M. - Hansíková, H. - Zápotocký, Martin - Suh, Y. H. - Horák, Martin
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N-Glycosylation Regulates the Trafficking and Surface Mobility of GluN3A-Containing NMDA Receptors
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Frontiers in Molecular Neuroscience 2018, roč. 11, Jun 4, článku 188
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IF = 3.720
[ASEP]
[
doi
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Leváková, Marie - Košťál, Lubomír - Monsempés, Ch. - Jacob, V. - Lucas, P.
Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations
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PLoS Computational Biology 2018, 14(11)), e1006586
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IF = 4.428
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr - Stiber, Michael
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Statistics of inverse interspike intervals: The instantaneous firing rate revisited
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Chaos 2018, 28(10)), 106305
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IF = 2.643
[ASEP]
[
doi
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Košťál, Lubomír - D´Onofrio, Giuseppe
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Coordinate invariance as a fundamental constraint on the form of stimulus-specific information measures
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Biological Cybernetics 2018, roč. 112, 1-2, p. 13-23
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IF = 1.305
[ASEP]
[
doi
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D´Onofrio, Giuseppe - Tamborrino, M. - Lánský, Petr
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The Jacobi diffusion process as a neuronal model
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Chaos 2018, 28(10)), 103119
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IF = 2.643
[ASEP]
[
doi
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D´Onofrio, Giuseppe - Macci, C. - Pirozzi, E.
Asymptotic Results for First-Passage Times of Some Exponential Processes
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Methodology and Computing in Applied Probability 2018, 20(4), 1453-1476
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IF = 0.746
[ASEP]
[
doi
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D´Onofrio, Giuseppe - Lánský, Petr - Pirozzi, E.
On two diffusion neuronal models with multiplicative noise: The mean first-passage time properties
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Chaos 2018, roč. 28, 4, článku 043103
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IF = 2.643
[ASEP]
[
doi
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Šmít, Daniel - Fouquet, C. - Pincet, F. - Zápotocký, Martin - Trembleau, A.
Axon tension regulates fasciculation/defasciculation through the control of axon shaft zippering
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eLife. 2017, roč. 6, Apr 19, článku e19907
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IF = 7.616
[ASEP]
[
doi
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Šmít, Daniel - Fouquet, C. - Doulazmi, M. - Pincet, F. - Trembleau, A. - Zápotocký, Martin
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BFPTool: a software tool for analysis of Biomembrane Force Probe experiments
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BMC Biophysics. 2017, roč. 10, Feb, článku 2
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IF = 1.813
[ASEP]
[
doi
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Rajdl, Kamil - Lánský, Petr - Košťál, Lubomír
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Entropy factor for randomness quantification in neuronal data
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Neural Networks. 2017, roč. 95, Nov 17, p. 57-65
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IF = 7.197
[ASEP]
[
doi
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Leváková, Marie - Tamborrino, M. - Košťál, Lubomír - Lánský, Petr
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Accuracy of rate coding: When shorter time window and higher spontaneous activity help
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Physical Review E. 2017, roč. 95, 2, článku 022310
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IF = 2.284
[ASEP]
[
doi
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Leváková, Marie
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Efficiency of rate and latency coding with respect to metabolic cost and time
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Biosystems. 2017, roč. 161, Nov 2017, p. 31-40
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IF = 1.619
[ASEP]
[
doi
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Chakraborty, Soma - Kopecká, J. - Šprdlík, Otakar - Hoskovcová, M. - Ulmanová, O. - Růžička, E. - Zápotocký, Martin
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Intermittent bilateral coherence in physiological and essential hand tremor
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Clinical Neurophysiology. 2017, roč. 128, 4, p. 622-634
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IF = 3.614
[ASEP]
[
doi
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Košťál, Lubomír - Lánský, Petr
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Coding accuracy on the psychophysical scale
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Scientific Reports. 2016, roč. 6, Mar 29, p. 23810
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IF = 4.259
[ASEP]
[
doi
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Leváková, Marie - Tamborrino, M. - Košťál, Lubomír - Lánský, Petr
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Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding
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Neural Computation. 2016, roč. 28, 10, p. 2162-2180
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IF = 1.760
[ASEP]
[
doi
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Košťál, Lubomír - Shinomoto, S.
Efficient information transfer by Poisson neurons
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Mathematical Biosciences and Engineering. 2016, roč. 13, 3, p. 509-520
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IF = 1.035
[ASEP]
[
doi
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Košťál, Lubomír
.
Stimulus reference frame and neural coding precision
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Journal of Mathematical Psychology. 2016, roč. 71, Apr 2016, p. 22-27
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IF = 1.377
[ASEP]
[
doi
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Kortus, Štěpán - Srinivasan, Ch. - Forostyak, O. - Zápotocký, Martin - Ueta, Y. - Syková, E. - Chvátal, A. - Verkhratsky, A. - Dayanithi, G.
Sodium-calcium exchanger and R-type Ca2+ channels mediate spontaneous [Ca2+](i) oscillations in magnocellular neurones of the rat supraoptic nucleus
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Cell Calcium. 2016, roč. 59, 6, p. 289-298
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IF = 3.707
[ASEP]
[
doi
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Kortus, Štěpán - Srinivasan, Ch. - Forostyak, O. - Ueta, Y. - Syková, E. - Chvátal, A. - Zápotocký, Martin - Verkhratsky, A. - Dayanithi, G.
Physiology of spontaneous [Ca2+](i) oscillations in the isolated vasopressin and oxytocin neurones of the rat supraoptic nucleus
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Cell Calcium. 2016, roč. 59, 6, p. 280-288
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IF = 3.707
[ASEP]
[
doi
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Forostyak, O. - Forostyak, S. - Kortus, Štěpán - Syková, E. - Verkhratsky, A. - Dayanithi, G.
Physiology of Ca2+ signalling in stem cells of different origins and differentiation stages
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Cell Calcium. 2016, roč. 59, 2-3, p. 57-66
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IF = 3.707
[ASEP]
[
doi
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Lánský, Petr - Sacerdote, L. - Zucca, C.
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model
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Biological Cybernetics. 2016, roč. 110, 2-3, p. 193-200
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IF = 1.716
[ASEP]
[
doi
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Vyklický, Vojtěch - Krausová, Barbora - Černý, Jiří - Balík, Aleš - Zápotocký, Martin - Novotný, M. - Lichnerová, Katarina - Smejkalová, Tereza - Kaniaková, Martina - Kořínek, Miloslav - Petrovič, Miloš - Kačer, P. - Horák, Martin - Chodounská, Hana - Vyklický ml., Ladislav
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Block of NMDA receptor channels by endogenous neurosteroids: implications for the agonist induced conformational states of the channel vestibule
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Scientific Reports. 2015, Vol. 5, Jun 18, p. 10935
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IF = 5.228
[ASEP]
[
doi
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Chakraborty, Soma - Bartussek, Jan - Fry, S.N. - Zápotocký, Martin
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Independently Controlled Wing Stroke Patterns in the Fruit Fly Drosophila melanogaster
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PLoS ONE. 2015, Vol. 10, 2, e0116813
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IF = 3.057
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Coding Accuracy Is Not Fully Determined by the Neuronal Model
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Neural Computation. 2015, Vol. 27, 5, p. 1051-1057
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IF = 1.626
[ASEP]
[
doi
]
Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
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Parameter inference from hitting times for perturbed Brownian motion
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Lifetime Data Analysis. 2015, Vol. 21, 3, p. 331-352
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IF = 0.8100000000000001
[ASEP]
[
doi
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Košťál, Lubomír - Lánský, Petr - Pilarski, Stevan
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Performance breakdown in optimal stimulus decoding
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Journal of Neural Engineering. 2015, Vol. 12, 3, 036012
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IF = 3.493
[ASEP]
[
doi
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Kobayashi, R. - He, J. - Lánský, Petr
.
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron
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Frontiers in Computational Neuroscience. 2015, Vol. 9, May 18, p. 59
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IF = 2.563
[ASEP]
[
doi
]
Čupera, J. - Lánský, Petr - Šklubalová, Z.
Sampling times influence the estimate of parameters in the Weibull dissolution model
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European Journal of Pharmaceutical Sciences. 2015, Vol. 78, Oct 12, p. 171-176
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IF = 3.773
[ASEP]
[
doi
]
Aquino, G. - Zápotocký, Martin
.
Information transfer through a signaling module with feedback: A perturbative approach
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Biosystems. 2015, Vol. 136, Oct, p. 66-72
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IF = 1.495
[ASEP]
[
doi
]
Košťál, Lubomír - Kobayashi, R.
Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints
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Biosystems. 2015, Vol. 136, Oct 2015, p. 3-10
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IF = 1.495
[ASEP]
[
doi
]
Leváková, Marie - Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
.
A review of the methods for neuronal response latency estimation
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Biosystems. 2015, Vol. 136, Oct 2015, p. 23-34
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IF = 1.495
[ASEP]
[
doi
]
Wan, I. - Pokora, O. - Chiu, T. - Lánský, Petr - Poon, P. W.
Altered intensity coding in the salicylate-overdose animal model of tinnitus
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Biosystems. 2015, Vol. 136, Oct 2015, p. 113-119
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IF = 1.495
[ASEP]
[
doi
]
Pilarski, Stevan - Pokora, O.
On the Cramér–Rao bound applicability and the role of Fisher information in computational neuroscience
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Biosystems. 2015, Vol. 136, Oct 2015, p. 11-22
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IF = 1.495
[ASEP]
[
doi
]
Rajdl, K. - Lánský, Petr
.
Stein's neuronal model with pooled renewal input
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Biological Cybernetics. 2015, Vol. 109, 3, p. 389-399
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IF = 1.611
[ASEP]
[
doi
]
Rajdl, Kamil - Lánský, Petr
.
Fano factor estimation
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Mathematical Biosciences and Engineering 2014, roč. 11, 1, p. 105-123. ISSN 1547-1063.
IF = 0.84
[ASEP]
[
doi
]
Leváková, Marie - Ditlevsen, S. - Lánský, Petr
.
Estimating latency from inhibitory input
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Biological Cybernetics 2014, roč. 108, 4, p. 475-493. ISSN 0340-1200.
IF = 1.713
[ASEP]
[
doi
]
Lánský, Petr - Polito, F. - Sacerdote, L.
The role of detachment of in-links in scale-free networks
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Journal of Physics A-Mathematical and Theoretical 2014, roč. 47, 34, p. 345002. ISSN 1751-8113.
IF = 1.583
[ASEP]
[
doi
]
Koyama, S. - Košťál, Lubomír
.
The effect of interspike interval statistics on the information gain under the rate coding hypothesis
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Mathematical Biosciences and Engineering 2014, roč. 11, 1, p. 63-80. ISSN 1547-1063.
IF = 0.84
[ASEP]
[
doi
]
Čupera, Jakub
.
Diffusion approximation of neuronal models revisited
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Mathematical Biosciences and Engineering 2014, roč. 11, 1, p. 11-25. ISSN 1547-1063.
IF = 0.84
[ASEP]
[
doi
]
Čupera, Jakub - Lánský, Petr
.
On the estimate of the rate constant in the homogeneous dissolution model
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Drug Development and Industrial Pharmacy, 2013, Vol. 39, 10, p. 1555-1561
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IF = 1.539
[ASEP]
[
doi
]
Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
.
Parametric inference of neuronal response latency in presence of a background signal
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Biosystems, 2013, Vol. 112, 3, p. 249-257
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IF = 1.581
[ASEP]
[
doi
]
Rospars, J. P. - Šanda, Pavel - Lánský, Petr - Duchamp-Viret, P.
Responses of single neurons and neuronal ensembles in frog first- and second-order olfactory neurons
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Brain Research, 2013, Vol. 1536, NOV 6, p. 144-158
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IF = 2.879
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr - McDonnell, M.D.
Metabolic cost of neuronal information in an empirical stimulus-response model
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Biological Cybernetics, 2013, Vol. 107, 3, p. 355-365
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IF = 2.067
[ASEP]
[
doi
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Košťál, Lubomír - Lánský, Petr - Pokora, Ondřej
.
Measures of statistical dispersion based on Shannon and Fisher information concepts
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Information Sciences, 2013, Vol. 235, JUN 20, p. 214-223
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IF = 3.643
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons
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Biosystems, 2013, Vol. 112, 3, p. 265-275
.
IF = 1.581
[ASEP]
[
doi
]
Kobayashi, R. - Namiki, S. - Kanzaki, R. - Kitano, K. - Nishikawa, I. - Lánský, Petr
.
Population coding is essential for rapid information processing in the moth antennal lobe
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Brain Research, 2013, Vol. 1536, NOV 6, p. 88-96
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IF = 2.879
[ASEP]
[
doi
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Bartussek, J. - Mutlu, A.K. - Zápotocký, Martin - Fry, S.N.
Limit-cycle-based control of the myogenic wingbeat rhythm in the fruit fly Drosophila
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Journal of the Royal Society Interface, 2013, Vol. 10, 80, p. 20121013
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IF = 4.907
[ASEP]
[
doi
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Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
.
Identification of noisy response latency
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Physical Review. E, 2012, Vol. 86, 2, 021128
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IF = 2.313
[ASEP]
[
doi
]
Pokora, Ondřej - Lánský, Petr
.
Estimating individual firing frequencies in a multiple spike train record
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Journal of Neuroscience Methods, 2012, Vol. 211, 2, p. 191-202
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IF = 2.114
[ASEP]
[
doi
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Košťál, Lubomír - Pokora, Ondřej
.
Nonparametric Estimation of Information-Based Measures of Statistical Dispersion
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Entropy, 2012, Vol. 14, 7, p. 1221-1233
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IF = 1.347
[ASEP]
[
doi
]
Košťál, Lubomír
.
Approximate information capacity of the perfect integrate-and-fire neuron using the temporal code
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Brain Research, 2012, Vol. 1434, JAN 24, p. 136-141
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IF = 2.879
[ASEP]
[
doi
]
Ditlevsen, S. - Lánský, Petr
.
Only through perturbation can relaxation times be estimated
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Physical Review. E, 2012, Vol. 86, 5, 050102-5
.
IF = 2.313
[ASEP]
[
doi
]
Čupera, J. - Lánský, Petr
.
Homogeneous diffusion layer model of dissolution incorporating the initial transient phase
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International Journal of Pharmaceutics, 2011, Vol. 416, 1, p. 35-42
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IF = 3.350
[ASEP]
[
doi
]
Pawlas, Z. - Lánský, Petr
.
Distribution of interspike intervals estimated from multiple spike trains observed in a short time window
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Physical Review. E, 2011, Vol. 83, 1, e011910
.
IF = 2.255
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr - Pokora, Ondřej
.
Variability Measures of Positive Random Variables
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PLoS ONE, 2011, Vol. 6, 7, e21998
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IF = 4.092
[ASEP]
[
doi
]
Kobayashi, R. - Shinomoto, S. - Lánský, Petr
.
Estimation of time-dependent input from neuronal membrane potential
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Neural Computation, 2011, Vol. 23, 12, p. 3070-3093
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IF = 1.884
[ASEP]
Ditlevsen, S. - Lánský, Petr
.
Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation
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Neural Computation, 2011, Vol. 23, 8, p. 1944-1966
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IF = 1.884
[ASEP]
[
doi
]
Chaudhuri, D. - Borowski, P. - Zápotocký, Martin
.
Model of fasciculation and sorting in mixed populations of axons
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Physical Review. E, 2011, Vol. 84, 2, e021908
.
IF = 2.255
[ASEP]
[
doi
]
Pawlas, Z. - Klebanov, L. B. - Beneš, V. - Prokešová, M. - Popelář, Jiří - Lánský, Petr
.
First-spike latency in the presence of spontaneous activity
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Neural Computation, 2010, Vol. 22, 7, p. 1675-1693
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IF = 2.290
[ASEP]
[
doi
]
Lánský, Petr - Šanda, Pavel - He, J.
Effect of stimulation on the input parameters of stochastic leaky integrate-and-fire neuronal model
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Journal of Physiology, 2010, Vol. 104, 3-4, p. 160-166
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IF = 3.030
[ASEP]
[
doi
]
Košťál, Lubomír - Maršálek, P.
Neuronal Jitter: Can we measure the spike timing dispersion differently?
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Chinese Journal of Physiology, 2010, Vol. 53, 6, p. 454-464
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IF = 0.683
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Information transfer for small-amplitude signals
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Physical Review. E, 2010, Vol. 81, 5, 050901-4
.
IF = 2.352
[ASEP]
[
doi
]
Košťál, Lubomír
.
Information capacity in the weak-signal approximation
.
Physical Review. E, 2010, Vol. 82, 2, 026115
.
IF = 2.352
[ASEP]
[
doi
]
Čupera, J. - Lánský, Petr
.
Random effects in drug dissolution
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European Journal of Pharmaceutical Sciences, 2010, Vol. 41, 3-4, p. 430-439
.
IF = 3.291
[ASEP]
[
doi
]
Bibbona, E. - Lánský, Petr - Sirovich, R.
Estimating input parameters from intracellular recordings in the Feller neuronal model
.
Physical Review. E, 2010, Vol. 81, 3, 031916-13
.
IF = 2.352
[ASEP]
[
doi
]
Chaudhuri, D. - Borowski, P. - Mohanty, P. K. - Zápotocký, Martin
.
Dynamics of path aggregation in the presence of turnover
.
Europhysics Letters, 2009, Vol. 87, 2, p. 20003-p6
.
IF = 2.893
[ASEP]
[
doi
]
Rospars, J. P. - Lánský, Petr - Chaput, M. - Duchamp-Viret, P.
Competitive and Noncompetitive Odorant Interactions in the Early Neural Coding of Odorant Mixtures
.
Journal of Neuroscience, 2008, Vol. 28, 10, p. 2659-2666
.
IF = 7.452
[ASEP]
Pokora, Ondřej - Lánský, Petr
.
Statistical approach in search for optimal signal in simple olfactory neuronal models
.
Mathematical Biosciences, 2008, Vol. 214, 1-2, p. 100-108
.
IF = 1.148
[ASEP]
[
doi
]
Picchini, U. - Ditlevsen, S. - De Gaetano, A. - Lánský, Petr
.
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal
.
Neural Computation, 2008, Vol. 20, 11, p. 2696-2714
.
IF = 2.378
[ASEP]
Pawlas, Z. - Klebanov, L. B. - Prokop, M. - Lánský, Petr
.
Parameters of Spike Trains Observed in a Short Time Windows
.
Neural Computation, 2008, Vol. 20, 5, p. 1325-1343
.
IF = 2.378
[ASEP]
Lánský, Petr - Pokora, Ondřej - Rospars, J. P.
Classification of stimuli based on stimulus–response curves and their variability
.
Brain Research, 2008, Vol. 1225, -, p. 57-66
.
IF = 2.494
[ASEP]
[
doi
]
Lánský, Petr - Ditlevsen, S.
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models
.
Biological Cybernetics, 2008, Vol. 99, 4-5, p. 253-262
.
IF = 1.935
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Randomness of spontaneous activity and information transfer in neurons
.
Physiological Research, 2008, Vol. 57, Suppl.3, S133-S138
.
IF = 1.653
[ASEP]
Košťál, Lubomír - Lánský, Petr - Rospars, J. P.
Efficient Olfactory Coding in the Pheromone Receptor Neuron of a Moth
.
PLoS Computational Biology, 2008, Vol. 4, 4, p. 1-11
.
IF = 5.895
[ASEP]
Hampel, D. - Lánský, Petr
.
On the estimation of refractory period
.
Journal of Neuroscience Methods, 2008, Vol. 171, 2, p. 288-295
.
IF = 2.092
[ASEP]
[
doi
]
Bibbona, E. - Lánský, Petr - Sacerdote, L. - Sirovich, R.
Errors in estimation of the input signal for integrate-and-fire neuronal models
.
Physical Review. E, 2008, Vol. 78, 1, p. 1-10
.
IF = 2.508
[ASEP]
[
doi
]
Lánský, Petr - Sacerdote, L. - Zucca, Ch.
Optimum signal in a diffusion leaky integrate-and-fire neuronal model
.
Mathematical Biosciences, 2007, Vol. 207, 2, p. 261-274
.
IF = 1.186
[ASEP]
Lánský, Petr - Greenwood, P.E.
Optimal signal in sensory neurons under an extended rate coding concept
.
Biosystems, 2007, Vol. 89, 1-3, p. 10-15
.
IF = 1.646
[ASEP]
Lánský, Petr - Šanda, Pavel - Weiss, M.
Modeling the influence of non-adherence on antibiotic efficacy: application to ciprofloxacin
.
International Journal of Clinical Pharmacology and Therapeutics, 2007, Vol. 45, 8, p. 438-447
.
IF = 1.281
[ASEP]
Košťál, Lubomír - Lánský, Petr
.
Variability and randomness in stationary neuronal aktivity
.
Biosystems, 2007, Vol. 89, 1-3, p. 44-49
.
IF = 1.646
[ASEP]
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