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
[ASEP]
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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
[ASEP]
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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
[ASEP]
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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
[ASEP]
[
doi
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