INSTITUTE OF PHYSIOLOGY CAS - Laboratory of Computational Neuroscience

Laboratory of Computational Neuroscience

Research

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:

The Board of Directors of the Organization for Computational Neurosciences (OCNS), organization of the Prague 2015 meeting and of the annual Workshops on Methods of Information Theory in Computational Neuroscience
Organization and committee membership in the biennal Neural Coding workshop series since Prague 1995 (Prague 2012; Versailles 2014; Cologne 2016; Torino 2018; Seattle 2020)
Organization of the Information beyond Shannon 2013 workshop (Prague)
Associate and Guest editorship: Neural Processing Letters; BioSystems; Mathematical Biosciences and Engineering; Frontiers in Integrative Neuroscience

Publications

Lee; H. - Košťál; Lubomír - Kanzaki; R. - Kobayashi; R. Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons . Biosystems. 2023; 223(January)); 104802 . IF = 1.957 [ASEP] [ doi ]

Lánský; Petr - Polito; F. - Sacerdote; L. Input-output consistency in integrate and fire interconnected neurons . Applied Mathematics and Computation. 2023; 440(1 March)); 127630 . IF = 4.397 [ASEP] [ doi ]

Tubikanec; I. - Tamborrino; M. - Lánský; Petr - Buckwar; E. Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion . Journal of Computational and Applied Mathematics. 2022; 406(May 1)); 113951 . IF = 2.872 [ASEP] [ doi ]

Tomar; Rimjhim - Smith; Ch. E. - Lánský; Petr . A simple neuronal model with intrinsic saturation of the firing frequency . Biosystems. 2022; 222(Dec)); 104780 . IF = 1.957 [ASEP] [ doi ]

Tomar; Rimjhim - Košťál; Lubomír . Variability and Randomness of the Instantaneous Firing Rate . Frontiers in Computational Neuroscience. 2021; 15(Jun 7)); 620410 . IF = 3.387 [ASEP] [ doi ]

People

	Mgr. Lubomír Košťál, Ph.D. Head of the Laboratory
	RNDr. Martin Zápotocký, Ph.D. Deputy Head of the Laboratory
	Mgr. Marie Leváková, Ph.D. Postdoctoral Fellow Currently on postdoctoral stay in Denmark
	Mgr. Tomáš Bárta PhD Student
	MSc. Rimjhim Tomar PhD Student
	Mgr. Kristýna Kováčová PhD Student