Main topics of research include:
Analysis of single-point stochastic neuronal models.
Main methodology is provided by mathematical modelling based on the theory of stochastic processes and differential equations, including extensive numerical simulations. Advanced statistical analysis of simulated as well as real experimental data is performed in order to estimate biophysically relevant parameters of the studied models.
Information processing in sensory neurons and neuronal models.
Methods of information theory and statistical estimation theory are applied to analyse the neuronal coding efficiency, based on both simulated and experimental data. Of particular interest is the notion of efficient coding hypothesis for insect olfactory sensory neurons, and biophysical modelling of ligand-receptor interaction in pheromone reception.
Organization of recent international conferences:
- Methods of Information Theory in Computational Neuroscience CNS2017 workshop, Antwerp, Belgium, 2017
- Methods of Information Theory in Computational Neuroscience CNS2016 workshop, Jeju, South Korea, 2016
- Organization for Computational Neurosciences annual meeting (CNS*2015 Prague)
- Neuromechanics and integrative motor control workshop, Prague, 2015
- Methods of Information Theory in Computational Neuroscience workshop, Prague, 2015
- Information beyond Shannon 2013 workshop (Prague)
- Neural Coding workshops: 2010 (Limassol); 2012 (Prague); 2014 (Versailles)
Publikace
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 = 3.902
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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 = 1.440
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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 = 2.415
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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
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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
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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
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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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