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

Košťál, Lubomír - Lánský, Petr - Pilarski, Stevan . Performance breakdown in optimal stimulus decoding . Journal of Neural Engineering. 2015, Vol. 12, 3, 036012 . IF = 3.295 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr . Coding Accuracy Is Not Fully Determined by the Neuronal Model . Neural Computation. 2015, Vol. 27, 5, p. 1051-1057 . IF = 2.207 [ASEP] [ doi ]
Rajdl, Kamil - Lánský, Petr . Fano factor estimation . Mathematical Biosciences and Engineering 2014, roč. 11, 1, p. 105-123. ISSN 1547-1063. IF = 0.84 [ASEP] [ doi ]
Leváková, Marie - Ditlevsen, S. - Lánský, Petr . Estimating latency from inhibitory input . Biological Cybernetics 2014, roč. 108, 4, p. 475-493. ISSN 0340-1200. IF = 1.713 [ASEP] [ doi ]
Lánský, Petr - Polito, F. - Sacerdote, L. The role of detachment of in-links in scale-free networks . Journal of Physics A-Mathematical and Theoretical 2014, roč. 47, 34, p. 345002. ISSN 1751-8113. IF = 1.583 [ASEP] [ doi ]
Koyama, S. - Košťál, Lubomír . The effect of interspike interval statistics on the information gain under the rate coding hypothesis . Mathematical Biosciences and Engineering 2014, roč. 11, 1, p. 63-80. ISSN 1547-1063. IF = 0.84 [ASEP] [ doi ]
Čupera, Jakub . Diffusion approximation of neuronal models revisited . Mathematical Biosciences and Engineering 2014, roč. 11, 1, p. 11-25. ISSN 1547-1063. IF = 0.84 [ASEP] [ doi ]
Čupera, Jakub - Lánský, Petr . On the estimate of the rate constant in the homogeneous dissolution model . Drug Development and Industrial Pharmacy, 2013, Vol. 39, 10, p. 1555-1561 . IF = 1.539 [ASEP] [ doi ]
Tamborrino, M. - Ditlevsen, S. - Lánský, Petr . Parametric inference of neuronal response latency in presence of a background signal . Biosystems, 2013, Vol. 112, 3, p. 249-257 . IF = 1.581 [ASEP] [ doi ]
Rospars, J. P. - Šanda, Pavel - Lánský, Petr - Duchamp-Viret, P. Responses of single neurons and neuronal ensembles in frog first- and second-order olfactory neurons . Brain Research, 2013, Vol. 1536, NOV 6, p. 144-158 . IF = 2.879 [ASEP] [ doi ]

Contacts

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

Vídeňská 1083
14220 Prague 4
Czech Republic
tel. +420 241 062 577
fax. +420 241 062 488
   

kostal@biomed.cas.cz

External web of the department

People

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

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