Lubomir Kostal

Computational Neuroscience Group Leader Institute of Physiology CAS Videnska 1083 142 20 Prague 4 Czech Republic Phone: +420 2 4106 2276 Fax: +420 2 4106 2488 E-mail: kostal@biomed.cas.cz

Full CV (pdf) Publications Service Invited talks Funding Painting

Research interests

• Applications of information theory and estimation theory to computational neuroscience
• Metabolic cost of neuronal information and coding efficiency
• Measures of neuronal spiking variability
• Signal processing in moth olfactory system

Publications in journals

• ResearcherID: B-7468-2012     ORCID: 0000-0002-2708-6268     ResearchGate     Google Scholar

1. Lee H, Kostal L, Kanzaki R, Kobayashi R (2023) Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons, Biosystems, 223, 104802, DOI link (full text).

2. Tomar R, Kostal L (2021) Variability and Randomness of the Instantaneous Firing Rate, Frontiers in Computational Neuroscience, 15, 620410, DOI link (full text).

3. Barta T, Kostal L (2021) Regular spiking in high conductance states: The essential role of inhibition, Physical Review E, 103, 022408, DOI link, preprint (arXiv).

4. Rajdl K, Lansky P, Kostal L (2020) Fano factor: a potentially useful information, Frontiers in Computational Neuroscience, 14, 569049, DOI link (full text).

5. Ascione G, D'Onofrio G, Kostal L, Pirozzi E (2020) An optimal Gauss-Markov approximation for a process with stochastic drift and applications, Stochastic Processes and their Applications, 130, 6481-6514, DOI link, preprint (arXiv).

6. Barta T, Kostal L (2019) The effect of inhibition on rate code efficiency indicators, PLoS Computational Biology, 15, e1007545, DOI link (full text).

7. Kostal L, Kobayashi R (2019) Critical size of neural population for reliable information transmission, Physical Review E Rapid Communications, 100, 050401(R), DOI link, preprint (PDF), supplementary material (PDF).

8. Levakova M, Kostal L, Monsempes C, Lucas P, Kobayashi R (2019) Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in moth, Journal of The Royal Society Interface, 16, 20190246, DOI link (full text).

9. Levakova M, Kostal L, Monsempes C, Jacob V, Lucas P (2018) Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations, PLoS Computational Biology, 14, e1006586, DOI link (full text).

10. Kostal L, Lansky P, Stiber M (2018) Statistics of inverse interspike intervals: the instantaneous firing rate revisited, Chaos, 28, 106305, DOI link, preprint (PDF).

11. Kostal L, D'Onofrio G (2018) Coordinate invariance as a fundamental constraint on the form of stimulus-specific information measures, Biological Cybernetics, 112, 13-23, DOI link, preprint (PDF).

12. Rajdl K, Lansky P, Kostal L (2017) Entropy factor for randomness quantification in neuronal data, Neural Networks, 95, 57-65, DOI link (full text).

13. Levakova M, Tamborrino M, Kostal L, Lansky P (2017) Accuracy of rate coding: When shorter time window and higher spontaneous activity help, Physical Review E, 95, 022310, DOI link, preprint.

14. Levakova M, Tamborrino M, Kostal L, Lansky P (2016) Presynaptic spontaneous activity enhances the accuracy of latency coding, Neural Computation, 28, 2162-2180, DOI link, preprint.

15. Kostal L (2016) Stimulus reference frame and neural coding precision, Journal of Mathematical Psychology, 71, 22-27, DOI link, preprint (PDF).

16. Kostal L, Lansky P (2016) Coding accuracy on the psychophysical scale, Scientific Reports, 6, 23810, DOI link (full text).

17. Kostal L, Shinomoto S (2016) Efficient information transfer by Poisson neurons, Mathematical Biosciences and Engineering, 13, 509-520, DOI link, preprint (PDF).

18. Kostal L, Kobayashi R (2015) Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints, BioSystems, 136, 3-10, DOI link, preprint (PDF).

19. Kostal L, Lansky P, Pilarski S (2015) Performance breakdown in optimal stimulus decoding, Journal of Neural Engineering, 12, 036012, DOI link, preprint (PDF).

20. Kostal L, Lansky P (2015) Coding accuracy is not fully determined by the neuronal model, Neural Computation, 27, 1051-1057, DOI link, preprint (PDF).

21. Koyama S, Kostal L (2014) The effect of interspike interval statistics on the information gain under the rate coding hypothesis, Mathematical Biosciences and Engineering, 11, 63-80, DOI link, full text (PDF).

22. Kostal L, Lansky P (2013) Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons, BioSystems, 112, 265-275, DOI link, preprint (PDF).

23. Kostal L, Lansky P, McDonnell MD (2013) Metabolic cost of neuronal information in an empirical stimulus-response model, Biological Cybernetics, 107, 355-365, DOI link, preprint (PDF).

24. Kostal L, Lansky P, Pokora O (2013) Measures of statistical dispersion based on Shannon and Fisher information concepts, Information Sciences, 235, 214-223, DOI link, preprint (PDF).

25. Kostal L, Pokora O (2012) Nonparametric estimation of information-based measures of statistical dispersion, Entropy, 14, 1221-1233, DOI link (full text).

26. Kostal L (2012) Approximate information capacity of the perfect integrate-and-fire neuron using the temporal code, Brain Research, 1434, 136-141, DOI link, preprint (PDF), supplementary material (PDF).

27. Kostal L, Lansky P, Pokora O (2011) Variability measures of positive random variables, PLoS ONE, 6, e21998, DOI link (full text).

28. Kostal L (2010) Information capacity in the weak-signal approximation, Physical Review E, 82, 026115, DOI link, preprint (arXiv).

29. Kostal L, Marsalek P (2010) Neuronal jitter: can we measure the spike timing dispersion differently? Chinese Journal of Physiology, 53, 454-464, full text (PDF).

30. Kostal L, Lansky P (2010) Information transfer for small-amplitude signals, Physical Review E Rapid Communications, 81, 050901(R), DOI link, preprint (arXiv).

31. Kostal L, Lansky P (2008) Randomness of spontaneous activity and information transfer in neurons, Physiological Research, 57, 133-138.

32. Kostal L, Lansky P, Rospars J-P (2008) Efficient olfactory coding in the pheromone receptor neuron of a moth, PLoS Computational Biology, 4, e1000053, DOI link (full text).

33. Kostal L, Lansky P, Rospars J-P (2007) Review: Neuronal coding and spiking randomness, European Journal of Neuroscience, 26, 2693-2701, DOI link, preprint (PDF).

34. Kostal L, Lansky P, Zucca C (2007) Randomness and variability of the neuronal activity described by the Ornstein-Uhlenbeck model, Network: Computation in Neural Systems, 18, 63-75, DOI link, preprint (PDF).

35. Kostal L, Lansky P, Rospars J-P (2007) Encoding of pheromone intensity by dynamic activation of pheromone receptors, Neurocomputing, 70, 1759-1763, DOI link.

36. Kostal L, Lansky P (2007) Variability and randomness in stationary neuronal activity, BioSystems, 89, 44-49, DOI link, preprint (PDF).

37. Kostal L, Lansky P (2006) Classification of stationary neuronal activity according to its information rate, Network: Computation in Neural Systems, 17, 193-210, DOI link, preprint (PDF).

38. Kostal L, Lansky P (2006) Similarity of interspike interval distributions and information gain in a stationary neuronal firing, Biological Cybernetics, 94, 157-167, DOI link, preprint (PDF).

39. Duchamp-Viret P, Chaput MA, Kostal L, Lansky P, Rospars J-P (2005) Patterns of spontaneous activity in single rat olfactory receptor neurons are different in normally breathing and tracheotomized animals, Journal of Neurobiology (Developmental Neurobiology), 65, 97-114, DOI link.

Publications in books and peer-reviewed proceedings, editorials

1. Christodoulou C, Kostal L, Sacerdote L (2020) Editorial, Special issue of BioSystems on Selected papers presented at the Thirteenth International Workshop on Neural Coding, Torino, Italy, 2018, BioSystems, 187, 104049, DOI link.

2. Kostal L, Sacerdote L, Tamborrino M (2019) Special Issue: Neural Coding 2018, Mathematical Biosciences and Engineering, 16, 8214-8216, DOI link.

3. Christodoulou C, Kostal L, Buschges A (2017) Editorial, Special issue of BioSystems on Selected papers presented at the Twelveth International Workshop on Neural Coding, Cologne, Germany, 2016, BioSystems, 161, 1-2, DOI link.

4. Kostal L, Lansky P, Pokora O (2012), How regular is neuronal activity?, in: ESANN 2012: The 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, pp. 495-500, full text (PDF).

5. Kostal L, Lansky P, Rospars J-P (2008) The Adaptation of the Moth Pheromone Receptor Neuron to its Natural Stimulus, in: AIP Conference Proceedings, Vol. 1028, Collective Dynamics: Topics on Competition and Cooperation in the Biosciences: A Selection of Papers in the Proceedings of the BIOCOMP2007 International Conference (eds. Ricciardi LM, Buonocore A, Pirozzi E), pp. 147-161, AIP, Melville, New York, DOI link.

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Organization of workshops and conferences, committee memberships

• Neural Coding 2020, (Bothell (Seattle), USA, July 27-31, 2020), member of the scientific committee
• CNS 2020: Workshop on Methods of Information Theory in Computational Neuroscience, (July 21-22, 2020, online), member of the organizing committee
• The 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, (Bruges, Belgium, April April 22-24, 2020), member of the technical program committee
• Latin American Workshop on Computational Neuroscience, (Sao Joao del-Rei, Brazil, September 18-20, 2019), member of the program committee
• CNS 2019 Workshop on Methods of Information Theory in Computational Neuroscience, (Barcelona, Spain, July 16-17, 2019), chair of the organising committee
• 5th International Conference on Mathematical NeuroScience, ICNMS 2019, (Copenhagen, Denmark, June 23-26, 2019), member of the scientific committee
• The 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2019, (Bruges, Belgium, April 24-26, 2019), member of the technical program committee
• Neural Coding 2018, (Torino, Italy, September 9-14, 2018), member of the scientific committee
• CNS 2018: Workshop on Methods of Information Theory in Computational Neuroscience, (Seattle, USA, July 17-18, 2018), member of the organizing committee
• International Conference on Mathematical NeuroScience, ICNMS 2018, (Antibes, Juan les Pins, France, June 10-13, 2018), member of the program committee
• The 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018, (Bruges, Belgium, April 25-27, 2018), member of the technical program committee
• CNS 2017: Workshop on Methods of Information Theory in Computational Neuroscience, (Antwerp, Belgium, July 19-20, 2017), member of the organizing committee
• CNS 2016: Workshop on Methods of Information Theory in Computational Neuroscience, (Jeju, South Korea, July 6-7, 2016), member of the organizing committee
• CNS 2015: Workshop on Methods of Information Theory in Computational Neuroscience, (Prague, July 22-23, 2015), main organizer (jointly with A. Dimitrov, M. Gastpar, T. Sharpee, S. Schultz)
• Neural Coding 2014 (Versailles, France, October 6-10, 2014), member of the international organising committee
• Information Beyond Shannon 2013 (Prague, July 3-4, 2013), main organizer
• Neural Coding 2012 (Prague, September 2-7, 2012), main organizer (jointly with P. Lansky)

Editorial duties

• Neural Processing Letters: member of the Editorial Board
• BioSystems: Associate editor of the Neural Coding 2016 and Neural Coding 2018 Special Issues
• Mathematical Biosciences and Engineering: Associate editor of the Neural Coding 2018 Special Issue

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Invited talks

• 2019: Lecture at the National Institute of Informatics, Tokyo, Japan
• 2017: Lecture at the University of Naples Federico II, Naples, Italy
• 2016: Lecture at the Institute for Stochastics, Johannes Kepler University, Linz, Austria
• 2016: Workshop on multitrack event-trains in neural, social, seismological, and financial data, Karuzaiwa, Japan
• 2014: Biological and Bio-Inspired Information Theory, Banff International Research Station, Canada
• 2014: Mathematical modeling and statistical analysis in neuroscience, University of Copenhagen, Denmark
• 2014: Lecture at RIKEN, Tokyo, Japan
• 2014: Lecture at the National Institute of Informatics, Tokyo, Japan
• 2013: Matematicke modely a aplikace, Podlesi, Czech Republic
• 2013: CNS 2013 Workshop on Methods of Information Theory in Computational Neuroscience, Paris, France
• 2013: Applications of Information Theory, Ritsumeikan University, Japan
• 2013: Lecture at the Kyoto University, Japan
• 2009: Workshop on Sensory Neuroinformatics, Pilsen, Czech Republic

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Funding

• 2020-2022: Optimality of neuronal communication: an information-theoretic perspective, The Czech Science Foundation (GACR), principal investigator
• 2020-2022: Stochastic Models and Methods for the Study of Olfaction, International (Lead Agency) project between Austrian FWF and GACR, team member
• 2017-2018: Neural coding in the moth olfactory system, Project MOBILITY (The Czech Republic and France), principal investigator
• 2017-2019: Neural coding precision and its adaptation to the stimulus statistics, The Czech Science Foundation (GACR), principal investigator
• 2017-2018: Perturbed stochastic point processes as a novel tool for neural coding analysis, Project MOBILITY (The Czech Republic and Austria), team member
• 2015-2017: Efficiency of information transfer and the role of energetic constraints in neuronal systems, The Czech Science Foundation (GACR), principal investigator
• 2015-2016: Statistical inference for perturbed stochastic processes with applications to neuroscience, Project MOBILITY (The Czech Republic and Austria), team member
• 2012-2014: Information-theoretic analysis of stimulus coding in sensory neurons, The Czech Science Foundation (GACR), principal investigator
• 2012-2013: Information beyond Shannon, European Office of Aerospace Research and Development, support for the Information Beyond Shannon 2013 workshop, principal investigator
• 2011-2012: Neural Coding, Office of Naval Research Global, support for the Neural Coding 2012 workshop, principal investigator
• 2011-2013: The role of noise in neuronal information processing, The Czech Science Foundation (GACR), team member
• 2007-2009: Signal processing in olfactory flux detector, Grant Agency of the Academy of Sciences of the Czech Republic, principal investigator
• 2005: Marie-Curie fellowship at INRA, Versailles (France)
• 2004-2008: Principles of information processing in neurons and their application, Project Information Society, Academy of Sciences of the Czech Republic, team member

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Paintings and sketches

Skramniky	Srni	Poricany
Zebrak	Cestlice	Tismice
Field	Ink/Watercolor 2	Ink/Watercolor 1
Luzny	Tuchoraz	Near Sembera
Near Kvilda	Roklan	Modrava
Sadska (from Poricany)	Horany	Doubravcice
Labe	Poricany	Doubravcany
Rooster	Poricany	Sembera in Poricany
Poricany	Poricany	Hradky
Poricany	Sembera	Oaks
Poplar	Sembera	Sembera
Sembera in Poricany	Stream	Sembera

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