Intranet Čeština

Computational Neuroscience

Computational Neuroscience

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:


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 = 3.902 [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 = 3.955 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr - Stiber, Michael . Statistics of inverse interspike intervals: The instantaneous firing rate revisited . Chaos 2018, 28(10)), 106305 . IF = 2.415 [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 = 1.440 [ASEP] [ doi ]
D´Onofrio, Giuseppe - Tamborrino, M. - Lánský, Petr . The Jacobi diffusion process as a neuronal model . Chaos 2018, 28(10)), 103119 . IF = 2.415 [ASEP] [ doi ]


Institute of Physiology AS CR, v.v.i.
Department of Computational Neuroscience

Vídeňská 1083
14220 Prague 4
Czech Republic
tel. +420 241 062 276
fax. +420 241 062 488



Mgr. Lubomír Košťál, Ph.D.
head of the department

RNDr. Martin Zápotocký, Ph.D.
deputy head of the department

Mgr. Tomáš Bárta
PhD student
MSc. Rimjhim Tomar




Frequent visitors and collaborators:





Past members:

Čupera Jakub, Mgr., PhD.
  D'Onofrio Giuseppe, Ph.D.
Pilarski Stevan, PhD.
Šanda Pavel, Mgr., PhD.
Rajdl Kamil, Mgr., PhD.