Search results
- 1.0584159 - FGÚ 2025 RIV US eng J - Journal Article
Bárta, Tomáš - Košťál, Lubomír
Shared input and recurrency in neural networks for metabolically efficient information transmission.
PLoS Computational Biology. Roč. 20, č. 2 (2024), č. článku e1011896. ISSN 1553-734X. E-ISSN 1553-7358
Grant - others:AV ČR(CZ) StrategieAV21/26
Program: StrategieAV
Institutional support: RVO:67985823
Keywords : neural networks * probability distribution * neurons
OECD category: Statistics and probability
Impact factor: 4.3, year: 2022
Method of publishing: Open access
https://doi.org/10.1371/journal.pcbi.1011896
Permanent Link: https://hdl.handle.net/11104/0352146 - 2.0579214 - FGÚ 2024 RIV GB eng J - Journal Article
Rajdl, Kamil - Košťál, Lubomír
Estimation of the instantaneous spike train variability.
Chaos Solitons & Fractals. Roč. 177, December (2023), č. článku 114280. ISSN 0960-0779. E-ISSN 1873-2887
Grant - others:AV ČR(CZ) StrategieAV21/26
Program: StrategieAV
Institutional support: RVO:67985823
Keywords : variability measure * spike trains * renewal process * Fano factor
OECD category: Statistics and probability
Impact factor: 7.8, year: 2022
Method of publishing: Limited access
https://doi.org/10.1016/j.chaos.2023.114280
Permanent Link: https://hdl.handle.net/11104/0348061 - 3.0567073 - FGÚ 2024 RIV IE eng J - Journal Article
Lee, H. - Košťál, Lubomír - Kanzaki, R. - Kobayashi, R.
Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons.
Biosystems. Roč. 223, January (2023), č. článku 104802. ISSN 0303-2647. E-ISSN 1872-8324
R&D Projects: GA ČR(CZ) GA20-10251S
Institutional support: RVO:67985823
Keywords : insect olfactory system * spike frequency adaptation * input rate-of-change * sensory coding
OECD category: Statistics and probability
Impact factor: 1.6, year: 2022
Method of publishing: Open access
https://doi.org/10.1016/j.biosystems.2022.104802
Permanent Link: https://hdl.handle.net/11104/0341656 - 4.0543840 - FGÚ 2022 RIV CH eng J - Journal Article
Tomar, Rimjhim - Košťál, Lubomír
Variability and Randomness of the Instantaneous Firing Rate.
Frontiers in Computational Neuroscience. Roč. 15, Jun 7 (2021), č. článku 620410. E-ISSN 1662-5188
R&D Projects: GA ČR(CZ) GA20-10251S
Institutional support: RVO:67985823
Keywords : variability * randomness * firing rate * entropy * rate coding * neural coding * temporal coding * instantaneous firing rate
OECD category: Statistics and probability
Impact factor: 3.387, year: 2021
Method of publishing: Open access
https://doi.org/10.3389/fncom.2021.620410
Permanent Link: http://hdl.handle.net/11104/0320955 - 5.0541638 - FGÚ 2022 RIV US eng J - Journal Article
Bárta, Tomáš - Košťál, Lubomír
Regular spiking in high-conductance states: The essential role of inhibition.
Physical Review E. Roč. 103, č. 2 (2021), č. článku 022408. ISSN 2470-0045. E-ISSN 2470-0053
R&D Projects: GA ČR(CZ) GA20-10251S
Institutional support: RVO:67985823
Keywords : inhibition * synaptic noise * neuronal models * spike-firing adaptation * leaky integrate-and-fire * Hodgkin-Huxley * neuron
OECD category: Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Impact factor: 2.707, year: 2021
Method of publishing: Limited access
https://doi.org/10.1103/PhysRevE.103.022408
Permanent Link: http://hdl.handle.net/11104/0319169 - 6.0535578 - FGÚ 2021 RIV CH eng J - Journal Article
Rajdl, Kamil - Lánský, Petr - Košťál, Lubomír
Fano Factor: A Potentially Useful Information.
Frontiers in Computational Neuroscience. Roč. 14, Nov 20 (2020), č. článku 569049. E-ISSN 1662-5188
R&D Projects: GA ČR(CZ) GA20-10251S
Institutional support: RVO:67985823
Keywords : Fano factor * spike trains * variability measure * intensity * renewal process
OECD category: Statistics and probability
Impact factor: 2.380, year: 2020
Method of publishing: Open access
https://www.frontiersin.org/articles/10.3389/fncom.2020.569049/full
Permanent Link: http://hdl.handle.net/11104/0314538 - 7.0534260 - FGÚ 2021 RIV NL eng J - Journal Article
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. Roč. 130, č. 11 (2020), s. 6481-6514. ISSN 0304-4149. E-ISSN 1879-209X
R&D Projects: GA ČR(CZ) GA20-10251S
Institutional support: RVO:67985823
Keywords : stochastic differential equations * optimality conditions * shot noise * neuronal models
OECD category: Statistics and probability
Impact factor: 1.467, year: 2020
Method of publishing: Limited access
https://doi.org/10.1016/j.spa.2020.05.018
Permanent Link: http://hdl.handle.net/11104/0312486 - 8.0531051 - FGÚ 2021 IE eng J - Journal Article
Christodoulou, Ch. - Košťál, Lubomír - Sacerdote, L.
Editorial.
Biosystems. Roč. 187, Jan (2020), č. článku 104049. ISSN 0303-2647. E-ISSN 1872-8324
Institutional support: RVO:67985823
Keywords : neural coding * proceedings * editorial
OECD category: Applied mathematics
Impact factor: 1.973, year: 2020
Method of publishing: Open access
Permanent Link: http://hdl.handle.net/11104/0309804 - 9.0518628 - FGÚ 2020 RIV US eng J - Journal Article
Bárta, Tomáš - Košťál, Lubomír
The effect of inhibition on rate code efficiency indicators.
PLoS Computational Biology. Roč. 15, č. 12 (2019), č. článku e1007545. ISSN 1553-734X. E-ISSN 1553-7358
R&D Projects: GA ČR(CZ) GA17-06943S
Institutional support: RVO:67985823
Keywords : neural models * information theory * neural coding
OECD category: Neurosciences (including psychophysiology
Impact factor: 4.700, year: 2019
Method of publishing: Open access
https://doi.org/10.1371/journal.pcbi.1007545
Permanent Link: http://hdl.handle.net/11104/0303728 - 10.0511899 - FGÚ 2020 RIV US eng J - Journal Article
Košťál, Lubomír - Kobayashi, R.
Critical size of neural population for reliable information transmission.
Physical Review E. Roč. 100, č. 5 (2019), č. článku 050401. ISSN 2470-0045. E-ISSN 2470-0053
R&D Projects: GA ČR(CZ) GA17-06943S
Institutional support: RVO:67985823
Keywords : information transmission * channel capacity * achievable rate * decoding error
OECD category: Applied mathematics
Impact factor: 2.296, year: 2019
Method of publishing: Limited access
https://journals.aps.org/pre/abstract/10.1103/PhysRevE.100.050401
Permanent Link: http://hdl.handle.net/11104/0302137