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
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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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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