Intranet Čeština

Computational Neuroscience

Computational Neuroscience

Analysis of single-point stochastic neuronal models.

Main methodology is provided by mathematical modelling based on the theory of stochastic processes and differential equations, including extensive numerical simulations. Advanced statistical analysis of simulated as well as real experimental data is performed in order to estimate biophysically relevant parameters of the studied models.

Information processing in sensory neurons and neuronal models.

Methods of information theory and statistical estimation theory are applied to analyse the neuronal coding efficiency, based on both simulated and experimental data. Of particular interest is the notion of efficient coding hypothesis for insect olfactory sensory neurons, and biophysical modelling of ligand-receptor interaction in pheromone reception.

Publications

Lánský, Petr - Sacerdote, L. - Zucca, C. The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model . Biological Cybernetics. 2016, roč. 110, 2-3, p. 193-200 . IF = 1.611 [ASEP] [ doi ]
Košťál, Lubomír . Stimulus reference frame and neural coding precision . Journal of Mathematical Psychology. 2016, roč. 71, Apr 2016, p. 22-27 . IF = 1.818 [ASEP] [ doi ]
Kortus, Štěpán - Srinivasan, Ch. - Forostyak, O. - Zápotocký, Martin - Ueta, Y. - Syková, E. - Chvátal, A. - Verkhratsky, A. - Dayanithi, G. Sodium-calcium exchanger and R-type Ca2+ channels mediate spontaneous [Ca2+](i) oscillations in magnocellular neurones of the rat supraoptic nucleus . Cell Calcium. 2016, roč. 59, 6, p. 289-298 . IF = 2.909 [ASEP] [ doi ]
Leváková, Marie - Tamborrino, M. - Košťál, Lubomír - Lánský, Petr . Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding . Neural Computation. 2016, roč. 28, 10, p. 2162-2180 . IF = 1.626 [ASEP] [ doi ]
Kortus, Štěpán - Srinivasan, Ch. - Forostyak, O. - Ueta, Y. - Syková, E. - Chvátal, A. - Zápotocký, Martin - Verkhratsky, A. - Dayanithi, G. Physiology of spontaneous [Ca2+](i) oscillations in the isolated vasopressin and oxytocin neurones of the rat supraoptic nucleus . Cell Calcium. 2016, roč. 59, 6, p. 280-288 . IF = 2.909 [ASEP] [ doi ]
Forostyak, O. - Forostyak, S. - Kortus, Štěpán - Syková, E. - Verkhratsky, A. - Dayanithi, G. Physiology of Ca2+ signalling in stem cells of different origins and differentiation stages . Cell Calcium. 2016, roč. 59, 2-3, p. 57-66 . IF = 2.909 [ASEP] [ doi ]
Košťál, Lubomír - Shinomoto, S. Efficient information transfer by Poisson neurons . Mathematical Biosciences and Engineering. 2016, roč. 13, 3, p. 509-520 . IF = 1.006 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr . Coding accuracy on the psychophysical scale . Scientific Reports. 2016, roč. 6, Mar 29, p. 23810 . IF = 5.228 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr . Coding accuracy on the psychophysical scale . Scientific Reports. 2016, roč. 6, Mar 29, p. 23810 . IF = 5.228 [ASEP] [ doi ]
Chakraborty, Soma - Bartussek, Jan - Fry, S.N. - Zápotocký, Martin . Independently Controlled Wing Stroke Patterns in the Fruit Fly Drosophila melanogaster . PLoS ONE. 2015, Vol. 10, 2, e0116813 . IF = 3.057 [ASEP] [ doi ]

Contacts

Institute of Physiology AS CR, v.v.i.
Department of Computational Neuroscience

Vídeňská 1083
14220 Prague 4
Czech Republic
tel. +420 241 062 276
fax. +420 241 062 488
   

kostal@biomed.cas.cz

External web of the department

People

  Mgr. Lubomír Košťál, Ph.D.
head of the department
  RNDr. Martin Zápotocký, Ph.D.
deputy head of the department
  doc. RNDr. Petr Lánský, DrSc.
senior researcher
  Giuseppe D'Onofrio, Ph.D.
postdoc
  Soma Chakraborty, MSc.
PhD student
  Ing. Štěpán Kortus
PhD student
  Mgr. Marie Leváková
PhD student
  Mgr. Ondřej Nováček
PhD student
  Mgr. Daniel Šmít
PhD student
  Jindřich Kalvoda
technician
  Libuše Müllerová
technician

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