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
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Shared input and recurrency in neural networks for metabolically efficient information transmission
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PLoS Computational Biology. 2024; 20(2); e1011896
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IF = 4.3
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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
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IF = 7.8
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doi
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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doi
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Ditlevsen; S. - Rubio; A. C. - Lánský; Petr
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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
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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
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[
doi
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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
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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
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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
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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
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doi
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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
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doi
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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
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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
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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
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doi
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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
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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
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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
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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]
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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
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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
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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]
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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
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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]
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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]
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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
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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
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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
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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
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doi
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Košťál, Lubomír
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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]
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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
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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
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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
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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
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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
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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
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doi
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Košťál, Lubomír - Lánský, Petr
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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
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doi
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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
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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
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doi
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Kobayashi, R. - He, J. - Lánský, Petr
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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
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doi
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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
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doi
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Aquino, G. - Zápotocký, Martin
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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
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[
doi
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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
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doi
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Leváková, Marie - Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
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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
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doi
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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]
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doi
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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
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doi
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Rajdl, K. - Lánský, Petr
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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]
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doi
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Rajdl, Kamil - Lánský, Petr
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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]
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doi
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Leváková, Marie - Ditlevsen, S. - Lánský, Petr
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Estimating latency from inhibitory input
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Biological Cybernetics 2014, roč. 108, 4, p. 475-493. ISSN 0340-1200.
IF = 1.713
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doi
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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]
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doi
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Koyama, S. - Košťál, Lubomír
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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
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Čupera, Jakub
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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]
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doi
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Čupera, Jakub - Lánský, Petr
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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
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