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

E-mail: marie.levakova@fgu.cas.cz

Phone: +420 2 4106 2593

Publications

  1. Levakova, M. Efficiency of rate and latency coding with respect to metabolic cost and time. BioSystems, in press. preprint
  2. 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
  3. 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
  4. Levakova, M. (2016) Effect of spontaneous activity on stimulus detection in a simple neuronal model. Mathematical Biosciences and Engineering, 13, 551–568. preprint
  5. Levakova, M., Tamborrino, M., Ditlevsen, S. & Lansky, P. (2015). A review of the methods for neuronal response latency estimation. BioSystems, 136, 23–34.
  6. Levakova, M., Ditlevsen, S. & Lansky, P. (2014). Estimating latency from inhibitory input. Biological Cybernetics, 108, 475–493.

Presentations at conferences and seminars

2017

  • 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