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:


Šmít, Daniel - Fouquet, C. - Pincet, F. - Zápotocký, Martin - Trembleau, A. Axon tension regulates fasciculation/defasciculation through the control of axon shaft zippering . eLife. 2017, roč. 6, Apr 19, článku e19907 . IF = 7.725 [ASEP] [ doi ]
Šmít, Daniel - Fouquet, C. - Doulazmi, M. - Pincet, F. - Trembleau, A. - Zápotocký, Martin . BFPTool: a software tool for analysis of Biomembrane Force Probe experiments . BMC Biophysics. 2017, roč. 10, Feb, článku 2 . IF = 2.292 [ASEP] [ doi ]
Rajdl, Kamil - Lánský, Petr - Košťál, Lubomír . Entropy factor for randomness quantification in neuronal data . Neural Networks. 2017, roč. 95, Nov 17, p. 57-65 . IF = 5.287 [ASEP] [ doi ]
Leváková, Marie - Tamborrino, M. - Košťál, Lubomír - Lánský, Petr . Accuracy of rate coding: When shorter time window and higher spontaneous activity help . Physical Review E. 2017, roč. 95, 2, článku 022310 . IF = 2.366 [ASEP] [ doi ]
Leváková, Marie . Efficiency of rate and latency coding with respect to metabolic cost and time . Biosystems. 2017, roč. 161, Nov 2017, p. 31-40 . IF = 1.652 [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

Bc. Tomáš Bárta
MSc. Rimjhim Tomar




Frequent visitors and collaborators:





Past members:

Čupera Jakub, Mgr., PhD.
Pilarski Stevan, PhD.
Šanda Pavel, Mgr., PhD.
Rajdl Kamil, Mgr., PhD.