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Početní neurovědy

Početní neurovědy

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

Rajdl; Kamil - Košťál; Lubomír . Estimation of the instantaneous spike train variability . 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 . Biosystems. 2023; 223(January)); 104802 . IF = 1.6 [ASEP] [ doi ]
Lánský; Petr - Polito; F. - Sacerdote; L. Input-output consistency in integrate and fire interconnected neurons . Applied Mathematics and Computation. 2023; 440(1 March)); 127630 . IF = 4.0 [ASEP] [ doi ]
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 . Subunit-Dependent Surface Mobility and Localization of NMDA Receptors in Hippocampal Neurons Measured Using Nanobody Probes . Journal of Neuroscience. 2023; 43(26); 4755-4774 . IF = 5.3 [ASEP] [ doi ]
Tubikanec; I. - Tamborrino; M. - Lánský; Petr - Buckwar; E. Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion . Journal of Computational and Applied Mathematics. 2022; 406(May 1)); 113951 . IF = 2.4 [ASEP] [ doi ]
Tomar; Rimjhim - Smith; Ch. E. - Lánský; Petr . A simple neuronal model with intrinsic saturation of the firing frequency . Biosystems. 2022; 222(Dec)); 104780 . IF = 1.6 [ASEP] [ doi ]
Tomar; Rimjhim - Košťál; Lubomír . Variability and Randomness of the Instantaneous Firing Rate . Frontiers in Computational Neuroscience. 2021; 15(Jun 7)); 620410 . IF = 3.387 [ASEP] [ doi ]
Tamborrino; M. - Lánský; Petr . Shot noise; weak convergence and diffusion approximations . Physica. D. 2021; 418(Apr)); 132845 . IF = 3.751 [ASEP] [ doi ]
Bárta; Tomáš - Košťál; Lubomír . Regular spiking in high-conductance states: The essential role of inhibition . Physical Review E. 2021; 103(2)); 022408 . IF = 2.707 [ASEP] [ doi ]
Rajdl; Kamil - Lánský; Petr - Košťál; Lubomír . Fano Factor: A Potentially Useful Information . Frontiers in Computational Neuroscience. 2020; 14(Nov 20)); 569049 . IF = 2.380 [ASEP] [ doi ]
Christodoulou; Ch. - Košťál; Lubomír - Sacerdote; L. Editorial . Biosystems. 2020; 187(Jan)); 104049 . IF = 1.973 [ASEP] [ doi ]
Ditlevsen; S. - Rubio; A. C. - Lánský; Petr . Transient dynamics of Pearson diffusions facilitates estimation of rate parameters . Communications in Nonlinear Science and Numerical Simulation. 2020; 82(Mar)); 105034 . IF = 4.260 [ASEP] [ doi ]
Ascione; G. - D´Onofrio; G. - Košťál; Lubomír - Pirozzi; E. An optimal Gauss-Markov approximation for a process with stochastic drift and applications . Stochastic Processes and their Applications. 2020; 130(11); 6481-6514 . IF = 1.467 [ASEP] [ doi ]
Tomar; Rimjhim . Review: Methods of firing rate estimation . Biosystems. 2019; 183(Sep)); 103980 . IF = 1.808 [ASEP] [ doi ]
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 . Journal of the Royal Society Interface. 2019; 16(157)); 20190246 . IF = 3.748 [ASEP] [ doi ]
Košťál; Lubomír - Kobayashi; R. Critical size of neural population for reliable information transmission . Physical Review E. 2019; 100(5)); 050401 . IF = 2.296 [ASEP] [ doi ]
D´Onofrio; Giuseppe - Pirozzi; E. Asymptotics of Two-boundary First-exit-time Densities for Gauss-Markov Processes . Methodology and Computing in Applied Probability. 2019; 21(3); 735-752 . IF = 0.809 [ASEP] [ doi ]
D´Onofrio; G. - Lánský; Petr - Tamborrino; M. Inhibition enhances the coherence in the Jacobi neuronal model . Chaos Solitons & Fractals. 2019; 128; 108-113 . IF = 3.764 [ASEP] [ doi ]
Bárta; Tomáš - Košťál; Lubomír . The effect of inhibition on rate code efficiency indicators . PLoS Computational Biology. 2019; 15(12)); e1007545 . IF = 4.700 [ASEP] [ doi ]
Skřenková, Kristýna - Lee, S. - Lichnerová, Katarina - Kaniaková, M. - Hansíková, H. - Zápotocký, Martin - Suh, Y. H. - Horák, Martin . N-Glycosylation Regulates the Trafficking and Surface Mobility of GluN3A-Containing NMDA Receptors . Frontiers in Molecular Neuroscience 2018, roč. 11, Jun 4, článku 188 . IF = 3.720 [ASEP] [ doi ]
Leváková, Marie - Košťál, Lubomír - Monsempés, Ch. - Jacob, V. - Lucas, P. Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations . PLoS Computational Biology 2018, 14(11)), e1006586 . IF = 4.428 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr - Stiber, Michael . Statistics of inverse interspike intervals: The instantaneous firing rate revisited . Chaos 2018, 28(10)), 106305 . IF = 2.643 [ASEP] [ doi ]
Košťál, Lubomír - D´Onofrio, Giuseppe . Coordinate invariance as a fundamental constraint on the form of stimulus-specific information measures . Biological Cybernetics 2018, roč. 112, 1-2, p. 13-23 . IF = 1.305 [ASEP] [ doi ]
D´Onofrio, Giuseppe - Tamborrino, M. - Lánský, Petr . The Jacobi diffusion process as a neuronal model . Chaos 2018, 28(10)), 103119 . IF = 2.643 [ASEP] [ doi ]
D´Onofrio, Giuseppe - Macci, C. - Pirozzi, E. Asymptotic Results for First-Passage Times of Some Exponential Processes . Methodology and Computing in Applied Probability 2018, 20(4), 1453-1476 . IF = 0.746 [ASEP] [ doi ]

Lidé

Mgr. Lubomír Košťál, Ph.D.
vedoucí oddělení
RNDr. Martin Zápotocký, Ph.D.
zástupce vedoucího oddělení

Mgr. Marie Leváková, Ph.D.
postdoktorand

aktuálně na postdoktorandském pobytu v Dánsku

Mgr. Tomáš Bárta
doktorand
Mgr. Kristýna Kováčová
doktorand

 

Bývalí členové:

doc. RNDr. Petr Lánský, DrSc.
1948-2021
Čupera Jakub, Mgr., PhD.
D'Onofrio Giuseppe, PhD.
Pokora Ondřej, Mgr., PhD.
Pilarski Stevan, PhD.
Šanda Pavel, Mgr., PhD.
Rajdl Kamil, Mgr., PhD.
Časté návštěvy a spolupracovníci: