Cutting-edge science for health

Laboratory of Computational Neuroscience

Laboratory of Computational Neuroscience


Theoretical methods are employed to describe and understand particular processes in neural systems on the level of single cells or populations. The focus is mainly on the neural coding problem, mathematical models of neuronal activity, and biophysical modeling of axon growth and circuit formation. The results are validated by using experimental data and numerical simulations. Information theory, stochastic processes, differential equations and statistics provide the necessary tools.


We are involved in:


Rajdl; Kamil - Lánský; Petr - Košťál; Lubomír . Fano Factor: A Potentially Useful Information . Frontiers in Computational Neuroscience. 2020; 14(Nov 20)); 569049 . IF = 2.535 [ASEP] [ doi ]
Christodoulou; Ch. - Košťál; Lubomír - Sacerdote; L. Editorial . Biosystems. 2020; 187(Jan)); 104049 . IF = 1.808 [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 = 4.115 [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 = 1.414 [ASEP] [ doi ]
Tomar; Rimjhim . Review: Methods of firing rate estimation . Biosystems. 2019; 183(Sep)); 103980 . IF = 1.808 [ASEP] [ doi ]


Mgr. Lubomír Košťál, Ph.D.
Head of the Laboratory

RNDr. Martin Zápotocký, Ph.D.
Deputy Head of the Laboratory

Postdoctoral Fellow
Mgr. Tomáš Bárta
PhD Student
MSc. Rimjhim Tomar
PhD Student


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.