Research
Theoretical methods are employed to describe and understand particular processes in neural systems on the level of single cells or populations. The focus is mainly on the neural coding problem, mathematical models of neuronal activity, and biophysical modeling of axon growth and circuit formation. The results are validated by using experimental data and numerical simulations. Information theory, stochastic processes, differential equations and statistics provide the necessary tools.
We are involved in:
Publications
Bárta; Tomáš - Košťál; Lubomír
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Shared input and recurrency in neural networks for metabolically efficient information transmission
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PLoS Computational Biology. 2024; 20(2); e1011896
.
IF = 4.3
[ASEP]
[
doi
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Rajdl; Kamil - Košťál; Lubomír
.
Estimation of the instantaneous spike train variability
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Chaos Solitons & Fractals. 2023; 177(December); 114280
.
IF = 7.8
[ASEP]
[
doi
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Lee; H. - Košťál; Lubomír - Kanzaki; R. - Kobayashi; R.
Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons
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Biosystems. 2023; 223(January)); 104802
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IF = 1.6
[ASEP]
[
doi
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Lánský; Petr - Polito; F. - Sacerdote; L.
Input-output consistency in integrate and fire interconnected neurons
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Applied Mathematics and Computation. 2023; 440(1 March)); 127630
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IF = 4.0
[ASEP]
[
doi
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Kortus; Štěpán - Řeháková; Kristýna - Klíma; Martin - Kolcheva; Marharyta - Ladislav; Marek - Langore; Emily - Baráčková; Petra - Netolický; Jakub - Misiachna; Anna - Hemelíková; Katarína - Humpolíčková; Jana - Chalupská; Dominika - Šilhán; Jan - Kaniaková; Martina - Hrčka Krausová; Barbora - Bouřa; Evžen - Zápotocký; Martin - Horák; Martin
.
Subunit-Dependent Surface Mobility and Localization of NMDA Receptors in Hippocampal Neurons Measured Using Nanobody Probes
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Journal of Neuroscience. 2023; 43(26); 4755-4774
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IF = 5.3
[ASEP]
[
doi
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Tubikanec; I. - Tamborrino; M. - Lánský; Petr - Buckwar; E.
Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion
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Journal of Computational and Applied Mathematics. 2022; 406(May 1)); 113951
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IF = 2.4
[ASEP]
[
doi
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Tomar; Rimjhim - Smith; Ch. E. - Lánský; Petr
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A simple neuronal model with intrinsic saturation of the firing frequency
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Biosystems. 2022; 222(Dec)); 104780
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IF = 1.6
[ASEP]
[
doi
]
Tomar; Rimjhim - Košťál; Lubomír
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Variability and Randomness of the Instantaneous Firing Rate
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Frontiers in Computational Neuroscience. 2021; 15(Jun 7)); 620410
.
IF = 3.387
[ASEP]
[
doi
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Tamborrino; M. - Lánský; Petr
.
Shot noise; weak convergence and diffusion approximations
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Physica. D. 2021; 418(Apr)); 132845
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IF = 3.751
[ASEP]
[
doi
]
Bárta; Tomáš - Košťál; Lubomír
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Regular spiking in high-conductance states: The essential role of inhibition
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Physical Review E. 2021; 103(2)); 022408
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IF = 2.707
[ASEP]
[
doi
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Rajdl; Kamil - Lánský; Petr - Košťál; Lubomír
.
Fano Factor: A Potentially Useful Information
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Frontiers in Computational Neuroscience. 2020; 14(Nov 20)); 569049
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IF = 2.380
[ASEP]
[
doi
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Christodoulou; Ch. - Košťál; Lubomír - Sacerdote; L.
Editorial
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Biosystems. 2020; 187(Jan)); 104049
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IF = 1.973
[ASEP]
[
doi
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Ditlevsen; S. - Rubio; A. C. - Lánský; Petr
.
Transient dynamics of Pearson diffusions facilitates estimation of rate parameters
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Communications in Nonlinear Science and Numerical Simulation. 2020; 82(Mar)); 105034
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IF = 4.260
[ASEP]
[
doi
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Ascione; G. - D´Onofrio; G. - Košťál; Lubomír - Pirozzi; E.
An optimal Gauss-Markov approximation for a process with stochastic drift and applications
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Stochastic Processes and their Applications. 2020; 130(11); 6481-6514
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IF = 1.467
[ASEP]
[
doi
]
Tomar; Rimjhim
.
Review: Methods of firing rate estimation
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Biosystems. 2019; 183(Sep)); 103980
.
IF = 1.808
[ASEP]
[
doi
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Leváková; Marie - Košťál; Lubomír - Monsempés; Ch. - Lucas; P. - Kobayashi; R.
Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth
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Journal of the Royal Society Interface. 2019; 16(157)); 20190246
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IF = 3.748
[ASEP]
[
doi
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Košťál; Lubomír - Kobayashi; R.
Critical size of neural population for reliable information transmission
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Physical Review E. 2019; 100(5)); 050401
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IF = 2.296
[ASEP]
[
doi
]
D´Onofrio; Giuseppe - Pirozzi; E.
Asymptotics of Two-boundary First-exit-time Densities for Gauss-Markov Processes
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Methodology and Computing in Applied Probability. 2019; 21(3); 735-752
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IF = 0.809
[ASEP]
[
doi
]
D´Onofrio; G. - Lánský; Petr - Tamborrino; M.
Inhibition enhances the coherence in the Jacobi neuronal model
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Chaos Solitons & Fractals. 2019; 128; 108-113
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IF = 3.764
[ASEP]
[
doi
]
Bárta; Tomáš - Košťál; Lubomír
.
The effect of inhibition on rate code efficiency indicators
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PLoS Computational Biology. 2019; 15(12)); e1007545
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IF = 4.700
[ASEP]
[
doi
]
Skřenková, Kristýna - Lee, S. - Lichnerová, Katarina - Kaniaková, M. - Hansíková, H. - Zápotocký, Martin - Suh, Y. H. - Horák, Martin
.
N-Glycosylation Regulates the Trafficking and Surface Mobility of GluN3A-Containing NMDA Receptors
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Frontiers in Molecular Neuroscience 2018, roč. 11, Jun 4, článku 188
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IF = 3.720
[ASEP]
[
doi
]
Leváková, Marie - Košťál, Lubomír - Monsempés, Ch. - Jacob, V. - Lucas, P.
Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations
.
PLoS Computational Biology 2018, 14(11)), e1006586
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IF = 4.428
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr - Stiber, Michael
.
Statistics of inverse interspike intervals: The instantaneous firing rate revisited
.
Chaos 2018, 28(10)), 106305
.
IF = 2.643
[ASEP]
[
doi
]
Košťál, Lubomír - D´Onofrio, Giuseppe
.
Coordinate invariance as a fundamental constraint on the form of stimulus-specific information measures
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Biological Cybernetics 2018, roč. 112, 1-2, p. 13-23
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IF = 1.305
[ASEP]
[
doi
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D´Onofrio, Giuseppe - Tamborrino, M. - Lánský, Petr
.
The Jacobi diffusion process as a neuronal model
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Chaos 2018, 28(10)), 103119
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IF = 2.643
[ASEP]
[
doi
]
D´Onofrio, Giuseppe - Macci, C. - Pirozzi, E.
Asymptotic Results for First-Passage Times of Some Exponential Processes
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Methodology and Computing in Applied Probability 2018, 20(4), 1453-1476
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IF = 0.746
[ASEP]
[
doi
]
D´Onofrio, Giuseppe - Lánský, Petr - Pirozzi, E.
On two diffusion neuronal models with multiplicative noise: The mean first-passage time properties
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Chaos 2018, roč. 28, 4, článku 043103
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IF = 2.643
[ASEP]
[
doi
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Šmít, Daniel - Fouquet, C. - Pincet, F. - Zápotocký, Martin - Trembleau, A.
Axon tension regulates fasciculation/defasciculation through the control of axon shaft zippering
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eLife. 2017, roč. 6, Apr 19, článku e19907
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IF = 7.616
[ASEP]
[
doi
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Šmít, Daniel - Fouquet, C. - Doulazmi, M. - Pincet, F. - Trembleau, A. - Zápotocký, Martin
.
BFPTool: a software tool for analysis of Biomembrane Force Probe experiments
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BMC Biophysics. 2017, roč. 10, Feb, článku 2
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IF = 1.813
[ASEP]
[
doi
]
Rajdl, Kamil - Lánský, Petr - Košťál, Lubomír
.
Entropy factor for randomness quantification in neuronal data
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Neural Networks. 2017, roč. 95, Nov 17, p. 57-65
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IF = 7.197
[ASEP]
[
doi
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Leváková, Marie - Tamborrino, M. - Košťál, Lubomír - Lánský, Petr
.
Accuracy of rate coding: When shorter time window and higher spontaneous activity help
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Physical Review E. 2017, roč. 95, 2, článku 022310
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IF = 2.284
[ASEP]
[
doi
]
Leváková, Marie
.
Efficiency of rate and latency coding with respect to metabolic cost and time
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Biosystems. 2017, roč. 161, Nov 2017, p. 31-40
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IF = 1.619
[ASEP]
[
doi
]
Chakraborty, Soma - Kopecká, J. - Šprdlík, Otakar - Hoskovcová, M. - Ulmanová, O. - Růžička, E. - Zápotocký, Martin
.
Intermittent bilateral coherence in physiological and essential hand tremor
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Clinical Neurophysiology. 2017, roč. 128, 4, p. 622-634
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IF = 3.614
[ASEP]
[
doi
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Košťál, Lubomír - Lánský, Petr
.
Coding accuracy on the psychophysical scale
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Scientific Reports. 2016, roč. 6, Mar 29, p. 23810
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IF = 4.259
[ASEP]
[
doi
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Leváková, Marie - Tamborrino, M. - Košťál, Lubomír - Lánský, Petr
.
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding
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Neural Computation. 2016, roč. 28, 10, p. 2162-2180
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IF = 1.760
[ASEP]
[
doi
]
Košťál, Lubomír - Shinomoto, S.
Efficient information transfer by Poisson neurons
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Mathematical Biosciences and Engineering. 2016, roč. 13, 3, p. 509-520
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IF = 1.035
[ASEP]
[
doi
]
Košťál, Lubomír
.
Stimulus reference frame and neural coding precision
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Journal of Mathematical Psychology. 2016, roč. 71, Apr 2016, p. 22-27
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IF = 1.377
[ASEP]
[
doi
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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
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Cell Calcium. 2016, roč. 59, 6, p. 289-298
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IF = 3.707
[ASEP]
[
doi
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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
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Cell Calcium. 2016, roč. 59, 6, p. 280-288
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IF = 3.707
[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
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Cell Calcium. 2016, roč. 59, 2-3, p. 57-66
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IF = 3.707
[ASEP]
[
doi
]
Lánský, Petr - Sacerdote, L. - Zucca, C.
The Gamma renewal process as an output of the diffusion leaky integrate-and-fire neuronal model
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Biological Cybernetics. 2016, roč. 110, 2-3, p. 193-200
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IF = 1.716
[ASEP]
[
doi
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Vyklický, Vojtěch - Krausová, Barbora - Černý, Jiří - Balík, Aleš - Zápotocký, Martin - Novotný, M. - Lichnerová, Katarina - Smejkalová, Tereza - Kaniaková, Martina - Kořínek, Miloslav - Petrovič, Miloš - Kačer, P. - Horák, Martin - Chodounská, Hana - Vyklický ml., Ladislav
.
Block of NMDA receptor channels by endogenous neurosteroids: implications for the agonist induced conformational states of the channel vestibule
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Scientific Reports. 2015, Vol. 5, Jun 18, p. 10935
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IF = 5.228
[ASEP]
[
doi
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Chakraborty, Soma - Bartussek, Jan - Fry, S.N. - Zápotocký, Martin
.
Independently Controlled Wing Stroke Patterns in the Fruit Fly Drosophila melanogaster
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PLoS ONE. 2015, Vol. 10, 2, e0116813
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IF = 3.057
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Coding Accuracy Is Not Fully Determined by the Neuronal Model
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Neural Computation. 2015, Vol. 27, 5, p. 1051-1057
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IF = 1.626
[ASEP]
[
doi
]
Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
.
Parameter inference from hitting times for perturbed Brownian motion
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Lifetime Data Analysis. 2015, Vol. 21, 3, p. 331-352
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IF = 0.8100000000000001
[ASEP]
[
doi
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Košťál, Lubomír - Lánský, Petr - Pilarski, Stevan
.
Performance breakdown in optimal stimulus decoding
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Journal of Neural Engineering. 2015, Vol. 12, 3, 036012
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IF = 3.493
[ASEP]
[
doi
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Kobayashi, R. - He, J. - Lánský, Petr
.
Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron
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Frontiers in Computational Neuroscience. 2015, Vol. 9, May 18, p. 59
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IF = 2.563
[ASEP]
[
doi
]
Čupera, J. - Lánský, Petr - Šklubalová, Z.
Sampling times influence the estimate of parameters in the Weibull dissolution model
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European Journal of Pharmaceutical Sciences. 2015, Vol. 78, Oct 12, p. 171-176
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IF = 3.773
[ASEP]
[
doi
]
Aquino, G. - Zápotocký, Martin
.
Information transfer through a signaling module with feedback: A perturbative approach
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Biosystems. 2015, Vol. 136, Oct, p. 66-72
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IF = 1.495
[ASEP]
[
doi
]
Košťál, Lubomír - Kobayashi, R.
Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints
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Biosystems. 2015, Vol. 136, Oct 2015, p. 3-10
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IF = 1.495
[ASEP]
[
doi
]
Leváková, Marie - Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
.
A review of the methods for neuronal response latency estimation
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Biosystems. 2015, Vol. 136, Oct 2015, p. 23-34
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IF = 1.495
[ASEP]
[
doi
]
Wan, I. - Pokora, O. - Chiu, T. - Lánský, Petr - Poon, P. W.
Altered intensity coding in the salicylate-overdose animal model of tinnitus
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Biosystems. 2015, Vol. 136, Oct 2015, p. 113-119
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IF = 1.495
[ASEP]
[
doi
]
Pilarski, Stevan - Pokora, O.
On the Cramér–Rao bound applicability and the role of Fisher information in computational neuroscience
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Biosystems. 2015, Vol. 136, Oct 2015, p. 11-22
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IF = 1.495
[ASEP]
[
doi
]
Rajdl, K. - Lánský, Petr
.
Stein's neuronal model with pooled renewal input
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Biological Cybernetics. 2015, Vol. 109, 3, p. 389-399
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IF = 1.611
[ASEP]
[
doi
]
Rajdl, Kamil - Lánský, Petr
.
Fano factor estimation
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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
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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
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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
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Drug Development and Industrial Pharmacy, 2013, Vol. 39, 10, p. 1555-1561
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IF = 1.539
[ASEP]
[
doi
]
Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
.
Parametric inference of neuronal response latency in presence of a background signal
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Biosystems, 2013, Vol. 112, 3, p. 249-257
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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
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Brain Research, 2013, Vol. 1536, NOV 6, p. 144-158
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IF = 2.879
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr - McDonnell, M.D.
Metabolic cost of neuronal information in an empirical stimulus-response model
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Biological Cybernetics, 2013, Vol. 107, 3, p. 355-365
.
IF = 2.067
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr - Pokora, Ondřej
.
Measures of statistical dispersion based on Shannon and Fisher information concepts
.
Information Sciences, 2013, Vol. 235, JUN 20, p. 214-223
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IF = 3.643
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons
.
Biosystems, 2013, Vol. 112, 3, p. 265-275
.
IF = 1.581
[ASEP]
[
doi
]
Kobayashi, R. - Namiki, S. - Kanzaki, R. - Kitano, K. - Nishikawa, I. - Lánský, Petr
.
Population coding is essential for rapid information processing in the moth antennal lobe
.
Brain Research, 2013, Vol. 1536, NOV 6, p. 88-96
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IF = 2.879
[ASEP]
[
doi
]
Bartussek, J. - Mutlu, A.K. - Zápotocký, Martin - Fry, S.N.
Limit-cycle-based control of the myogenic wingbeat rhythm in the fruit fly Drosophila
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Journal of the Royal Society Interface, 2013, Vol. 10, 80, p. 20121013
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IF = 4.907
[ASEP]
[
doi
]
Tamborrino, M. - Ditlevsen, S. - Lánský, Petr
.
Identification of noisy response latency
.
Physical Review. E, 2012, Vol. 86, 2, 021128
.
IF = 2.313
[ASEP]
[
doi
]
Pokora, Ondřej - Lánský, Petr
.
Estimating individual firing frequencies in a multiple spike train record
.
Journal of Neuroscience Methods, 2012, Vol. 211, 2, p. 191-202
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IF = 2.114
[ASEP]
[
doi
]
Košťál, Lubomír - Pokora, Ondřej
.
Nonparametric Estimation of Information-Based Measures of Statistical Dispersion
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Entropy, 2012, Vol. 14, 7, p. 1221-1233
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IF = 1.347
[ASEP]
[
doi
]
Košťál, Lubomír
.
Approximate information capacity of the perfect integrate-and-fire neuron using the temporal code
.
Brain Research, 2012, Vol. 1434, JAN 24, p. 136-141
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IF = 2.879
[ASEP]
[
doi
]
Ditlevsen, S. - Lánský, Petr
.
Only through perturbation can relaxation times be estimated
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Physical Review. E, 2012, Vol. 86, 5, 050102-5
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IF = 2.313
[ASEP]
[
doi
]
Čupera, J. - Lánský, Petr
.
Homogeneous diffusion layer model of dissolution incorporating the initial transient phase
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International Journal of Pharmaceutics, 2011, Vol. 416, 1, p. 35-42
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IF = 3.350
[ASEP]
[
doi
]
Pawlas, Z. - Lánský, Petr
.
Distribution of interspike intervals estimated from multiple spike trains observed in a short time window
.
Physical Review. E, 2011, Vol. 83, 1, e011910
.
IF = 2.255
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr - Pokora, Ondřej
.
Variability Measures of Positive Random Variables
.
PLoS ONE, 2011, Vol. 6, 7, e21998
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IF = 4.092
[ASEP]
[
doi
]
Kobayashi, R. - Shinomoto, S. - Lánský, Petr
.
Estimation of time-dependent input from neuronal membrane potential
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Neural Computation, 2011, Vol. 23, 12, p. 3070-3093
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IF = 1.884
[ASEP]
Ditlevsen, S. - Lánský, Petr
.
Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation
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Neural Computation, 2011, Vol. 23, 8, p. 1944-1966
.
IF = 1.884
[ASEP]
[
doi
]
Chaudhuri, D. - Borowski, P. - Zápotocký, Martin
.
Model of fasciculation and sorting in mixed populations of axons
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Physical Review. E, 2011, Vol. 84, 2, e021908
.
IF = 2.255
[ASEP]
[
doi
]
Pawlas, Z. - Klebanov, L. B. - Beneš, V. - Prokešová, M. - Popelář, Jiří - Lánský, Petr
.
First-spike latency in the presence of spontaneous activity
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Neural Computation, 2010, Vol. 22, 7, p. 1675-1693
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IF = 2.290
[ASEP]
[
doi
]
Lánský, Petr - Šanda, Pavel - He, J.
Effect of stimulation on the input parameters of stochastic leaky integrate-and-fire neuronal model
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Journal of Physiology, 2010, Vol. 104, 3-4, p. 160-166
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IF = 3.030
[ASEP]
[
doi
]
Košťál, Lubomír - Maršálek, P.
Neuronal Jitter: Can we measure the spike timing dispersion differently?
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Chinese Journal of Physiology, 2010, Vol. 53, 6, p. 454-464
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IF = 0.683
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Information transfer for small-amplitude signals
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Physical Review. E, 2010, Vol. 81, 5, 050901-4
.
IF = 2.352
[ASEP]
[
doi
]
Košťál, Lubomír
.
Information capacity in the weak-signal approximation
.
Physical Review. E, 2010, Vol. 82, 2, 026115
.
IF = 2.352
[ASEP]
[
doi
]
Čupera, J. - Lánský, Petr
.
Random effects in drug dissolution
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European Journal of Pharmaceutical Sciences, 2010, Vol. 41, 3-4, p. 430-439
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IF = 3.291
[ASEP]
[
doi
]
Bibbona, E. - Lánský, Petr - Sirovich, R.
Estimating input parameters from intracellular recordings in the Feller neuronal model
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Physical Review. E, 2010, Vol. 81, 3, 031916-13
.
IF = 2.352
[ASEP]
[
doi
]
Chaudhuri, D. - Borowski, P. - Mohanty, P. K. - Zápotocký, Martin
.
Dynamics of path aggregation in the presence of turnover
.
Europhysics Letters, 2009, Vol. 87, 2, p. 20003-p6
.
IF = 2.893
[ASEP]
[
doi
]
Rospars, J. P. - Lánský, Petr - Chaput, M. - Duchamp-Viret, P.
Competitive and Noncompetitive Odorant Interactions in the Early Neural Coding of Odorant Mixtures
.
Journal of Neuroscience, 2008, Vol. 28, 10, p. 2659-2666
.
IF = 7.452
[ASEP]
Pokora, Ondřej - Lánský, Petr
.
Statistical approach in search for optimal signal in simple olfactory neuronal models
.
Mathematical Biosciences, 2008, Vol. 214, 1-2, p. 100-108
.
IF = 1.148
[ASEP]
[
doi
]
Picchini, U. - Ditlevsen, S. - De Gaetano, A. - Lánský, Petr
.
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal
.
Neural Computation, 2008, Vol. 20, 11, p. 2696-2714
.
IF = 2.378
[ASEP]
Pawlas, Z. - Klebanov, L. B. - Prokop, M. - Lánský, Petr
.
Parameters of Spike Trains Observed in a Short Time Windows
.
Neural Computation, 2008, Vol. 20, 5, p. 1325-1343
.
IF = 2.378
[ASEP]
Lánský, Petr - Pokora, Ondřej - Rospars, J. P.
Classification of stimuli based on stimulus–response curves and their variability
.
Brain Research, 2008, Vol. 1225, -, p. 57-66
.
IF = 2.494
[ASEP]
[
doi
]
Lánský, Petr - Ditlevsen, S.
A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models
.
Biological Cybernetics, 2008, Vol. 99, 4-5, p. 253-262
.
IF = 1.935
[ASEP]
[
doi
]
Košťál, Lubomír - Lánský, Petr
.
Randomness of spontaneous activity and information transfer in neurons
.
Physiological Research, 2008, Vol. 57, Suppl.3, S133-S138
.
IF = 1.653
[ASEP]
Košťál, Lubomír - Lánský, Petr - Rospars, J. P.
Efficient Olfactory Coding in the Pheromone Receptor Neuron of a Moth
.
PLoS Computational Biology, 2008, Vol. 4, 4, p. 1-11
.
IF = 5.895
[ASEP]
Hampel, D. - Lánský, Petr
.
On the estimation of refractory period
.
Journal of Neuroscience Methods, 2008, Vol. 171, 2, p. 288-295
.
IF = 2.092
[ASEP]
[
doi
]
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