Intranet Areál web

Početní neurovědy

Početní neurovědy

Výzkum

Využíváme metody teorie informace, stochastických procesů, diferenciálních rovnich a statistiky pro popis procesů v nervových systémech na úrovni jednotlivých buněk i jejich populací. Zaměřujeme se především na problém neurálního kódování, matematické modely nervové aktivity, biofyzikální modelování růstu axonů a formování sítí. Výsledky ověřujeme na experimentálních datech a počítačových simulacích.

 

Organizační aktivity:

Publikace

Rajdl; Kamil - Košťál; Lubomír . Estimation of the instantaneous spike train variability . Chaos Solitons & Fractals. 2023; 177(December); 114280 . IF = 7.8 [ASEP] [ doi ]
Lee; H. - Košťál; Lubomír - Kanzaki; R. - Kobayashi; R. Spike frequency adaptation facilitates the encoding of input gradient in insect olfactory projection neurons . Biosystems. 2023; 223(January)); 104802 . IF = 1.6 [ASEP] [ doi ]
Lánský; Petr - Polito; F. - Sacerdote; L. Input-output consistency in integrate and fire interconnected neurons . Applied Mathematics and Computation. 2023; 440(1 March)); 127630 . IF = 4.0 [ASEP] [ doi ]
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 . Journal of Neuroscience. 2023; 43(26); 4755-4774 . IF = 5.3 [ASEP] [ doi ]
Tubikanec; I. - Tamborrino; M. - Lánský; Petr - Buckwar; E. Qualitative properties of different numerical methods for the inhomogeneous geometric Brownian motion . Journal of Computational and Applied Mathematics. 2022; 406(May 1)); 113951 . IF = 2.4 [ASEP] [ doi ]
Tomar; Rimjhim - Smith; Ch. E. - Lánský; Petr . A simple neuronal model with intrinsic saturation of the firing frequency . Biosystems. 2022; 222(Dec)); 104780 . IF = 1.6 [ASEP] [ doi ]
Tomar; Rimjhim - Košťál; Lubomír . Variability and Randomness of the Instantaneous Firing Rate . Frontiers in Computational Neuroscience. 2021; 15(Jun 7)); 620410 . IF = 3.387 [ASEP] [ doi ]
Tamborrino; M. - Lánský; Petr . Shot noise; weak convergence and diffusion approximations . Physica. D. 2021; 418(Apr)); 132845 . IF = 3.751 [ASEP] [ doi ]
Bárta; Tomáš - Košťál; Lubomír . Regular spiking in high-conductance states: The essential role of inhibition . Physical Review E. 2021; 103(2)); 022408 . IF = 2.707 [ASEP] [ doi ]
Rajdl; Kamil - Lánský; Petr - Košťál; Lubomír . Fano Factor: A Potentially Useful Information . Frontiers in Computational Neuroscience. 2020; 14(Nov 20)); 569049 . IF = 2.380 [ASEP] [ doi ]
Christodoulou; Ch. - Košťál; Lubomír - Sacerdote; L. Editorial . Biosystems. 2020; 187(Jan)); 104049 . IF = 1.973 [ASEP] [ doi ]
Ditlevsen; S. - Rubio; A. C. - Lánský; Petr . Transient dynamics of Pearson diffusions facilitates estimation of rate parameters . Communications in Nonlinear Science and Numerical Simulation. 2020; 82(Mar)); 105034 . IF = 4.260 [ASEP] [ doi ]
Ascione; G. - D´Onofrio; G. - Košťál; Lubomír - Pirozzi; E. An optimal Gauss-Markov approximation for a process with stochastic drift and applications . Stochastic Processes and their Applications. 2020; 130(11); 6481-6514 . IF = 1.467 [ASEP] [ doi ]
Tomar; Rimjhim . Review: Methods of firing rate estimation . Biosystems. 2019; 183(Sep)); 103980 . IF = 1.808 [ASEP] [ doi ]
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 . Journal of the Royal Society Interface. 2019; 16(157)); 20190246 . IF = 3.748 [ASEP] [ doi ]
Košťál; Lubomír - Kobayashi; R. Critical size of neural population for reliable information transmission . Physical Review E. 2019; 100(5)); 050401 . IF = 2.296 [ASEP] [ doi ]
D´Onofrio; Giuseppe - Pirozzi; E. Asymptotics of Two-boundary First-exit-time Densities for Gauss-Markov Processes . Methodology and Computing in Applied Probability. 2019; 21(3); 735-752 . IF = 0.809 [ASEP] [ doi ]
D´Onofrio; G. - Lánský; Petr - Tamborrino; M. Inhibition enhances the coherence in the Jacobi neuronal model . Chaos Solitons & Fractals. 2019; 128; 108-113 . IF = 3.764 [ASEP] [ doi ]
Bárta; Tomáš - Košťál; Lubomír . The effect of inhibition on rate code efficiency indicators . PLoS Computational Biology. 2019; 15(12)); e1007545 . 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 . Frontiers in Molecular Neuroscience 2018, roč. 11, Jun 4, článku 188 . 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 . 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 . Biological Cybernetics 2018, roč. 112, 1-2, p. 13-23 . IF = 1.305 [ASEP] [ doi ]
D´Onofrio, Giuseppe - Tamborrino, M. - Lánský, Petr . The Jacobi diffusion process as a neuronal model . Chaos 2018, 28(10)), 103119 . IF = 2.643 [ASEP] [ doi ]
D´Onofrio, Giuseppe - Macci, C. - Pirozzi, E. Asymptotic Results for First-Passage Times of Some Exponential Processes . Methodology and Computing in Applied Probability 2018, 20(4), 1453-1476 . 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 . Chaos 2018, roč. 28, 4, článku 043103 . IF = 2.643 [ASEP] [ doi ]
Šmít, Daniel - Fouquet, C. - Pincet, F. - Zápotocký, Martin - Trembleau, A. Axon tension regulates fasciculation/defasciculation through the control of axon shaft zippering . eLife. 2017, roč. 6, Apr 19, článku e19907 . IF = 7.616 [ASEP] [ doi ]
Šmít, Daniel - Fouquet, C. - Doulazmi, M. - Pincet, F. - Trembleau, A. - Zápotocký, Martin . BFPTool: a software tool for analysis of Biomembrane Force Probe experiments . BMC Biophysics. 2017, roč. 10, Feb, článku 2 . IF = 1.813 [ASEP] [ doi ]
Rajdl, Kamil - Lánský, Petr - Košťál, Lubomír . Entropy factor for randomness quantification in neuronal data . Neural Networks. 2017, roč. 95, Nov 17, p. 57-65 . IF = 7.197 [ASEP] [ doi ]
Leváková, Marie - Tamborrino, M. - Košťál, Lubomír - Lánský, Petr . Accuracy of rate coding: When shorter time window and higher spontaneous activity help . Physical Review E. 2017, roč. 95, 2, článku 022310 . IF = 2.284 [ASEP] [ doi ]
Leváková, Marie . Efficiency of rate and latency coding with respect to metabolic cost and time . Biosystems. 2017, roč. 161, Nov 2017, p. 31-40 . 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 . Clinical Neurophysiology. 2017, roč. 128, 4, p. 622-634 . IF = 3.614 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr . Coding accuracy on the psychophysical scale . Scientific Reports. 2016, roč. 6, Mar 29, p. 23810 . IF = 4.259 [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 = 1.760 [ASEP] [ doi ]
Košťál, Lubomír - Shinomoto, S. Efficient information transfer by Poisson neurons . Mathematical Biosciences and Engineering. 2016, roč. 13, 3, p. 509-520 . IF = 1.035 [ASEP] [ doi ]
Košťál, Lubomír . Stimulus reference frame and neural coding precision . Journal of Mathematical Psychology. 2016, roč. 71, Apr 2016, p. 22-27 . IF = 1.377 [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 = 3.707 [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 = 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 . Cell Calcium. 2016, roč. 59, 2-3, p. 57-66 . 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 . Biological Cybernetics. 2016, roč. 110, 2-3, p. 193-200 . IF = 1.716 [ASEP] [ doi ]
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 . Scientific Reports. 2015, Vol. 5, Jun 18, p. 10935 . 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 ]
Košťál, Lubomír - Lánský, Petr . Coding Accuracy Is Not Fully Determined by the Neuronal Model . Neural Computation. 2015, Vol. 27, 5, p. 1051-1057 . IF = 1.626 [ASEP] [ doi ]
Tamborrino, M. - Ditlevsen, S. - Lánský, Petr . Parameter inference from hitting times for perturbed Brownian motion . Lifetime Data Analysis. 2015, Vol. 21, 3, p. 331-352 . IF = 0.8100000000000001 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr - Pilarski, Stevan . Performance breakdown in optimal stimulus decoding . Journal of Neural Engineering. 2015, Vol. 12, 3, 036012 . IF = 3.493 [ASEP] [ doi ]
Kobayashi, R. - He, J. - Lánský, Petr . Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron . Frontiers in Computational Neuroscience. 2015, Vol. 9, May 18, p. 59 . IF = 2.563 [ASEP] [ doi ]
Čupera, J. - Lánský, Petr - Šklubalová, Z. Sampling times influence the estimate of parameters in the Weibull dissolution model . European Journal of Pharmaceutical Sciences. 2015, Vol. 78, Oct 12, p. 171-176 . IF = 3.773 [ASEP] [ doi ]
Aquino, G. - Zápotocký, Martin . Information transfer through a signaling module with feedback: A perturbative approach . Biosystems. 2015, Vol. 136, Oct, p. 66-72 . IF = 1.495 [ASEP] [ doi ]
Košťál, Lubomír - Kobayashi, R. Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints . Biosystems. 2015, Vol. 136, Oct 2015, p. 3-10 . IF = 1.495 [ASEP] [ doi ]
Leváková, Marie - Tamborrino, M. - Ditlevsen, S. - Lánský, Petr . A review of the methods for neuronal response latency estimation . Biosystems. 2015, Vol. 136, Oct 2015, p. 23-34 . 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 . Biosystems. 2015, Vol. 136, Oct 2015, p. 113-119 . IF = 1.495 [ASEP] [ doi ]
Pilarski, Stevan - Pokora, O. On the Cramér–Rao bound applicability and the role of Fisher information in computational neuroscience . Biosystems. 2015, Vol. 136, Oct 2015, p. 11-22 . IF = 1.495 [ASEP] [ doi ]
Rajdl, K. - Lánský, Petr . Stein's neuronal model with pooled renewal input . Biological Cybernetics. 2015, Vol. 109, 3, p. 389-399 . IF = 1.611 [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 ]
Košťál, Lubomír - Lánský, Petr - McDonnell, M.D. Metabolic cost of neuronal information in an empirical stimulus-response model . 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 . 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 . 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 . Journal of the Royal Society Interface, 2013, Vol. 10, 80, p. 20121013 . 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 . IF = 2.114 [ASEP] [ doi ]
Košťál, Lubomír - Pokora, Ondřej . Nonparametric Estimation of Information-Based Measures of Statistical Dispersion . Entropy, 2012, Vol. 14, 7, p. 1221-1233 . 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 . IF = 2.879 [ASEP] [ doi ]
Ditlevsen, S. - Lánský, Petr . Only through perturbation can relaxation times be estimated . Physical Review. E, 2012, Vol. 86, 5, 050102-5 . IF = 2.313 [ASEP] [ doi ]
Čupera, J. - Lánský, Petr . Homogeneous diffusion layer model of dissolution incorporating the initial transient phase . International Journal of Pharmaceutics, 2011, Vol. 416, 1, p. 35-42 . 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 . IF = 4.092 [ASEP] [ doi ]
Kobayashi, R. - Shinomoto, S. - Lánský, Petr . Estimation of time-dependent input from neuronal membrane potential . Neural Computation, 2011, Vol. 23, 12, p. 3070-3093 . IF = 1.884 [ASEP]
Ditlevsen, S. - Lánský, Petr . Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation . 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 . 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 . Neural Computation, 2010, Vol. 22, 7, p. 1675-1693 . 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 . Journal of Physiology, 2010, Vol. 104, 3-4, p. 160-166 . IF = 3.030 [ASEP] [ doi ]
Košťál, Lubomír - Maršálek, P. Neuronal Jitter: Can we measure the spike timing dispersion differently? . Chinese Journal of Physiology, 2010, Vol. 53, 6, p. 454-464 . IF = 0.683 [ASEP] [ doi ]
Košťál, Lubomír - Lánský, Petr . Information transfer for small-amplitude signals . 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 . European Journal of Pharmaceutical Sciences, 2010, Vol. 41, 3-4, p. 430-439 . IF = 3.291 [ASEP] [ doi ]
Bibbona, E. - Lánský, Petr - Sirovich, R. Estimating input parameters from intracellular recordings in the Feller neuronal model . 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 ]
Bibbona, E. - Lánský, Petr - Sacerdote, L. - Sirovich, R. Errors in estimation of the input signal for integrate-and-fire neuronal models . Physical Review. E, 2008, Vol. 78, 1, p. 1-10 . IF = 2.508 [ASEP] [ doi ]

Lidé

Mgr. Lubomír Košťál, Ph.D.
vedoucí oddělení
RNDr. Martin Zápotocký, Ph.D.
zástupce vedoucího oddělení

Mgr. Marie Leváková, Ph.D.
postdoktorand

aktuálně na postdoktorandském pobytu v Dánsku

Mgr. Tomáš Bárta
doktorand
Mgr. Kristýna Kováčová
doktorand

 

Bývalí členové:

doc. RNDr. Petr Lánský, DrSc.
1948-2021
Čupera Jakub, Mgr., PhD.
D'Onofrio Giuseppe, PhD.
Pokora Ondřej, Mgr., PhD.
Pilarski Stevan, PhD.
Šanda Pavel, Mgr., PhD.
Rajdl Kamil, Mgr., PhD.
Časté návštěvy a spolupracovníci: