Department of Computational Neuroscience

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.
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.
Kostal L: Approximate information capacity of the perfect integrate-and-fire neuron using the temporal code, Brain Research, in press, 2011.
Kobayashi R, Shinomoto S, Lansky P: Estimation of time-dependent input from neuronal membrane potential, Neural Computation, in press, 2011.
Sanda P, Marsalek P: Stochastic Interpolation Model of the Medial Superior Olive Neural Circuit, Brain Research, in press, 2011.

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: in press, 2010.
Kostal L, Lansky P, Information transfer for small-amplitude signals, Physical Review E, 81, 050901(R), 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