Lubomir Kostal

Lubomir Kostal

Research Group Leader

Institute of Physiology CAS, Prague

I lead the Laboratory of Computational Neuroscience at the Institute of Physiology, Prague, Czech Republic. I was trained as a physicist, and my Ph.D. thesis – “Principles of Information Processing in Neuronal Models” – focused on the applications of statistics and information theory to computational neuroscience. After a postdoc stay in France (INRAe, Versailles), I applied for the leadership of the Lab in 2014. See my CV for details.

Academic CV Corporate CV
Interests
  • Bio-inspired signal processing and NeuroAI
  • Mathematical models of neural systems
  • Information theory
  • Estimation theory
  • Stochastic point processes
Education
  • PhD in Physics, 2007

    Charles University and Institute of Physiology

  • MSc in Physics, 2003

    Faculty of Mathematics and Physics, Charles University Prague

News

See all items.

  • Oct 3, 2024:     Our new paper describing the response dynamics of moth olfactory receptory neurons is published in Communications Biology.
  • Jun 9, 2024:    A novel method for firing rate estimation from multiple recordings is introduced in our paper accepted for publication in Neuroscience Research.
  • Feb 7, 2024:    Our new paper on the impact of shared input and inhibitory feedback on the information transmission in recurrent neural networks has been accepted for publication in PLoS Computational Biology.

Awards

Invited Talks

See my CV for the complete list.

Instantaneous firing rate and counting statistics of spike trains
Neuronal population size and reliable information transmission
On the efficiency of neuronal information processing
On the metabolically efficient neuronal information transmission
Variability and randomness in neuronal firing patterns

Involvement

See my CV for teaching duties and other professional service.

Editorial duties:

Organization of international meetings (selected):

Funding

Selected grants and fellowships. See my CV for the complete list.

  • 2020-2022: Optimality of neuronal communication: an information-theoretic perspective, The Czech Science Foundation (GACR), $\approx$ 261.000,EUR
  • 2017-2019: Neural coding precision and its adaptation to the stimulus statistics, The Czech Science Foundation (GACR), $\approx$ 217.000,EUR
  • 2015-2017: Efficiency of information transfer and the role of energetic constraints in neuronal systems, The Czech Science Foundation (GACR), $\approx$ 259.000,EUR
  • 2012-2014: Information-theoretic analysis of stimulus coding in sensory neurons, The Czech Science Foundation (GACR), $\approx$ 56.000,EUR
  • 2011-2013: Neural Coding and Information beyond Shannon, European Office of Aerospace Research and Development, Office of Naval Research Global, support for the respective workshops in 2012 and 2013, $\approx$ 20.000,EUR

Contact