Address: Videnska 1083, 142 20 Prague 4, Czech Republic

E-mail: marie.levakova (at) fgu.cas.cz

Phone: +420 2 4106 2593

Publications

  1. Levakova, M., Kostal, L., Monsempès, C., Jacob, V. & Lucas, P. (2018) Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations. submitted
  2. Levakova, M. (2017) Efficiency of rate and latency coding with respect to metabolic cost and time. BioSystems, 161, 31-40. preprint
  3. 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 (2), 022310. preprint
  4. Levakova, M., Tamborrino, M., Kostal, L. & Lansky, P. (2016) Presynaptic spontaneous activity enhances the accuracy of latency coding, Neural Computation. 28 (10), 2162–2180. preprint
  5. Levakova, M. (2016) Effect of spontaneous activity on stimulus detection in a simple neuronal model. Mathematical Biosciences and Engineering, 13, 551–568. preprint
  6. Levakova, M., Tamborrino, M., Ditlevsen, S. & Lansky, P. (2015). A review of the methods for neuronal response latency estimation. BioSystems, 136, 23–34.
  7. Levakova, M., Ditlevsen, S. & Lansky, P. (2014). Estimating latency from inhibitory input. Biological Cybernetics, 108, 475–493.

Presentations at conferences and seminars

2018

  • Seminar at University of Tokyo, Japan
  • International Conference on Mathematical NeuroScience, Antibes, France (plenary talk).
  • Seminar at Tokyo Institute of Technology, Japan
  • Seminar at Kyoto University, Japan

2017

  • Bernstein Conference 2017, Göttingen, Germany (poster).
  • Seminar at Masaryk University in Brno, Czech Republic.
  • Seminar at Kyoto University, Japan.

2016

  • Neural Coding 2016, Cologne, Germany (talk).
  • 10th European Conference on Mathematical & Theoretical Biology, Nottingham, UK (talk).

2015

  • International Conference on Mathematical NeuroScience, Antibes, France (poster).
  • Olomoucian Days of Applied Mathematics, Olomouc, Czech Republic (talk).
  • Seminar at Johannes Kepler University, Linz, Austria.

2014

  • Neural Coding 2014, Versailles, France (poster).

2013

  • European Meeting of Statisticians, Budapest, Hungary (poster).
  • CNS 2013, Paris, France (poster).

2012

  • Neural Coding 2012, Prague, Czech Republic (poster).

Stays abroad

Education

2017: Doctoral degree in Probability, Statistics and Mathematical Modelling

Faculty of Science, Masaryk University, Brno, Czech Republic

Thesis: Stochastic models and statistical analysis of series of events

Supervisor: doc. RNDr. Petr Lánský, DrSc.


2011: Master degree in Applied Mathematics

Faculty of Science, Masaryk University, Brno, Czech Republic

Thesis: Generalized linear mixed models (in Czech)


2009: Bachelor degree in Applied Mathematics

Faculty of Science, Masaryk University, Brno, Czech Republic

Thesis: Regression Analysis for Correlated Data (in Czech)

Topics of interest

  • Information processing in neural systems, latency coding
  • Stochastic models of neurons
  • Statistical analysis of neuronal data