Kostal L, Shinomoto S: Efficient information transfer by Poisson neurons, Mathematical Biosciences and Engineering, in press.
Kostal L, Kobayashi R: Optimal decoding and information transmission in Hodgkin-Huxley neurons under metabolic cost constraints, BioSystems, in press.
Cupera J, Lansky P, Sklubalova Z: Sampling times influence the estimate of parameters in the Weibull dissolution model, European Journal of Pharmaceutical Sciences, 78: 171-176, 2015.
Aquino G, Zapotocky M: Information transfer through a signaling module with feedback: A perturbative approach, BioSystems, in press.
Vyklicky V, Krausova B, Cerny J, Balik A, Zapotocky M, Novotny M, Lichnerova K, Smejkalova T, Kaniakova M, Korinek M, Petrovic M, Kacer P, Horak M, Chodounska H, Vyklicky L: Block of NMDA receptor channels by endogenous neurosteroids: implications for the agonist induced conformational states of the channel vestibule, Scientific Reports, 5:10935, 2015.
Tamborrino M, Ditlevsen S, Lansky P: Parameter Inference from Hitting Times for Perturbed Brownian Motion, Lifetime Data Analysis, 21:331–352, 2015.
Wan I, Pokora O, Chiu T, Lansky P, Poon PWF: Altered intensity coding in the salicylate-overdose animal model of tinnitus, BioSystems, in press
Pilarski S, Pokora O: On the Cramér-Rao bound applicability and the role of Fisher information in computational neuroscience, BioSystems, in press.
Kostal L, Lansky P, Pilarski S: Performance breakdown in optimal stimulus decoding, Journal of Neural Engineering, 12, 036012, 2015.
Kostal L, Lansky P: Coding accuracy is not fully determined by the neuronal model, Neural Computation, 27, 1051-1057, 2015.
Rajdl K, Lansky P: Stein's neuronal model with pooled renewal input. Biological Cybernetics, 109: 389-399, 2015.
Kobayashi R, He J, Lansky P: Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron, Frontiers in Computational Neuroscience, 9:59, 2015.
Levakova M, Tamborrino M, Ditlevsen S, Lansky P: A review of the methods for neuronal response latency estimation, BioSystems, to appear
Chakraborty S, Bartussek J, Fry SN, Zapotocky M: Independently controlled wing stroke patterns in the fruit fly Drosophila melanogaster. PLoS ONE 10(2): e0116813, 2015.
Publications in 2014
Lansky P, Polito F, Sacerdote L: The role of detachment of in-links in scale-free networks, Journal of Physics A: Mathematical and Theoretical, 37, 345002, 2014.
Levakova M, Ditlevsen S, Lansky P: Estimating latency from inhibitory input, Biological Cybernetics, 108, 475-493, 2014.
Cupera J: Diffusion approximation of neuronal models revisited, Mathematical Biosciences and Engineering, 11, 11-25, 2014.
Koyama S, Kostal L: The effect of interspike interval statistics on the information gain under the rate coding hypothesis, Mathematical Biosciences and Engineering, 11, 63-80, 2014.
Publications in 2013
Bartussek J, Mutlu AK, Zapotocky M, Fry SN: Limit-cycle-based control of the myogenic wingbeat rhythm in the fruit fly Drosophila, Journal of the Royal Society Interface, 10, 20121013, 2013.
Kobayashi R, Namiki S, Kanzaki R, Kitano K, Nishikawa I, Lansky P: Population coding is essential for rapid information processing in the moth antennal lobe, Brain Research, 1536, 88-96, 2013.
Rospars JP, Sanda P, Lansky P, Duchamp-Viret P: Responses of single neurons and neuronal ensembles in frog first- and second-order olfactory neurons, Brain Research, 1536, 144-158, 2013.
Cupera J, Lansky P: On the estimate of the rate constant in the homogeneous dissolution model, Drug Development and Industrial Pharmacy, 39, 1555-1561, 2013.
Tamborrino M, Ditlevsen S, Lansky P: Parametric inference of neuronal response latency in presence of a background signal, BioSystems, 112, 249-257, 2013.
Kostal L, Lansky P: Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons, BioSystems, 112, 265-275, 2013.
Kostal L, Lansky P, McDonnell MD: Metabolic cost of neuronal information in an empirical stimulus-response model, Biological Cybernetics, 107, 355-365, 2013.
Kostal L, Lansky P, Pokora O: Measures of statistical dispersion based on Shannon and Fisher information concepts, Information Sciences, 235, 214-223, 2013.
Publications in 2012
Ditlevsen S, Lansky P: Only through perturbation can relaxation times be estimated, Physical Review E, 86, 050102, 2012.
Tamborrino M, Ditlevsen S, Lansky P: Identification of noisy response latency, Physical Review E, 86, 021128, 2012.
Sanda P, Marsalek P: Stochastic Interpolation Model of the Medial Superior Olive Neural Circuit, Brain Research, 24, 257-265, 2012.
Pokora O, Lansky P: Estimating individual firing frequencies in a multiple spike train record, Journal of Neuroscience Methods, 211, 191–202, 2012.
Kostal L, Lansky P, Pokora O: How regular is neuronal activity?, ESANN 2012: The 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, 495-500, 2012.
Kostal L, Pokora O: Nonparametric estimation of information-based measures of statistical dispersion, Entropy, 14, 1221–1233, 2012.
Kostal L: Approximate information capacity of the perfect integrate-and-fire neuron using the temporal code, Brain Research, 1434, 136-141, 2012.
Publications in 2011
Lansky P, Pawlas Z: Distribution of interspike intervals estimated from multiple spike trains observed in a short time window, Physical Review E, 83, 011910, 2011.
Lansky P, Ditlevsen S: Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation, Neural Computation, 23, 1944-1966, 2011.
Kobayashi R, Tsubo Y, Lansky P, Shinomoto S: Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron. Advances in Neural Information Processing Systems 24, 2011.
Chaudhuri D, Borowski P, Zapotocky M: Model of fasciculation and sorting in mixed populations of axons, Physical Review E, 84, 021908, 2011.
Kostal L, Lansky P, Pokora O: Variability measures of positive random variables, PLoS ONE, 6, e21998, 2011.
Kobayashi R, Shinomoto S, Lansky P: Estimation of time-dependent input from neuronal membrane potential, Neural Computation, 23, 3070-3093, 2011.
Cupera J, Lansky P: Homogeneous diffusion layer model of dissolution incorporating the initial transient phase, International Journal of Pharmaceutics, 1, 35-42, 2011.
Publications in 2010
Lansky P, Sanda P, He J: Effect of stimulation on the input parameters of stochastic leaky integrate-and-fire neuronal model. Journal of Physiology - Paris 104 (2010) 160–166.
Bibbona E, Lansky P, Sirovich R: Estimating input parameters from intracellular recordings in the Feller neuronal model. Physical Review E, 78: Art. No. 031916, 2010.
Pawlas Z, Klebanov LB, Benes, V., Prokesova M, Popelar J., Lansky P: First-spike latency in the presence of spontaneous activity. Neural Computation, 22: 1675-1697, 2010.
Kostal L, Lansky P, Information transfer for small-amplitude signals, Physical Review E (Rapid Communication), 81, 050901, 2010.
Kostal L, Marsalek P, Neuronal jitter: can we measure the spike timing dispersion differently? Chinese Journal of Physiology, 53 (2010) 454-464.
Kostal L, Information capacity in the weak-signal approximation, Physical Review E, 82, 026115, 2010.
Cupera J, Lansky P: Random Effects in Drug Dissolution, European journal of pharmaceutical sciences, 2010, 928-987
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