Firing Variability Is Higher than Deduced from the Empirical Coefficient of VariationDITLEVSEN, Susanne; LANSKY, Petr.Neural computation. 2011, Vol 23, Num 8, pp 1944-1966, issn 0899-7667, 23 p.Article

Classification of stationary neuronal activity according to its information rateKOSTAL, Lubomir; LANSKY, Petr.Network (Bristol. Print). 2006, Vol 17, Num 2, pp 193-210, issn 0954-898X, 18 p.Article

Receptor dissociation constants and the information entropy of membranes coding ligand concentrationGETZ, Wayne M; LANSKY, Petr.Chemical senses. 2001, Vol 26, Num 2, pp 95-104, issn 0379-864XConference Paper

Modeling heterogeneity of particles and random effects in drug dissolutionLANSKY, Petr; WEISS, Michael.Pharmaceutical research. 2001, Vol 18, Num 7, pp 1061-1067, issn 0724-8741Article

Homogeneous diffusion layer model of dissolution incorporating the initial transient phaseCUPERA, Jakub; LANSKY, Petr.International journal of pharmaceutics (Print). 2011, Vol 416, Num 1, pp 35-42, issn 0378-5173, 8 p.Article

Random effects in drug dissolutionCUPERA, Jakub; LANSKY, Petr.European journal of pharmaceutical sciences. 2010, Vol 41, Num 3-4, pp 430-439, issn 0928-0987, 10 p.Article

Optimal signal estimation in neuronal modelsLANSKY, Petr; GREENWOOD, Priscilla E.Neural computation. 2005, Vol 17, Num 10, pp 2240-2257, issn 0899-7667, 18 p.Article

Classification of dissolution profiles in terms of fractional Dissolution rate and a novel measure of heterogeneityLANSKY, Petr; WEISS, Michael.Journal of pharmaceutical sciences. 2003, Vol 92, Num 8, pp 1632-1647, issn 0022-3549, 16 p.Article

Randomness and variability of the neuronal activity described by the Ornstein-Uhlenbeck modelKOSTAL, Lubomir; LANSKY, Petr; ZUCCA, Cristina et al.Network (Bristol. Print). 2007, Vol 18, Num 1, pp 63-75, issn 0954-898X, 13 p.Article

Mean instantaneous firing frequency is always higher than the firing rateLANSKY, Petr; RODRIGUEZ, Roger; SACERDOTE, Laura et al.Neural computation. 2004, Vol 16, Num 3, pp 477-489, issn 0899-7667, 13 p.Article

A stochastic differential equation model for drug dissolution and its parametersLANSKY, Petr; LANSKA, Vera; WEISS, Michael et al.Journal of controlled release. 2004, Vol 100, Num 2, pp 267-274, issn 0168-3659, 8 p.Article

Metabolic cost of neuronal information in an empirical stimulus-response modelKOSTAL, Lubomir; LANSKY, Petr; MCDONNELL, Mark D et al.Biological cybernetics. 2013, Vol 107, Num 3, pp 355-365, issn 0340-1200, 11 p.Article

Estimating latency from inhibitory inputLEVAKOVA, Marie; DITLEVSEN, Susanne; LANSKY, Petr et al.Biological cybernetics. 2014, Vol 108, Num 4, pp 475-493, issn 0340-1200, 19 p.Article

Selected papers presented at the Tenth International Neural Coding Workshop, Prague, Czech Republic, 2012LANSKY, Petr; ROSPARS, Jean-Pierre; CHRISTODOULOU, Chris et al.Brain research. 2013, Vol 1536, issn 0006-8993, 178 p.Conference Proceedings

Estimation of Time-Dependent Input from Neuronal Membrane PotentialKOBAYASHI, Ryota; SHINOMOTO, Shigeru; LANSKY, Petr et al.Neural computation. 2011, Vol 23, Num 12, pp 3070-3093, issn 0899-7667, 24 p.Article

Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating SignalPICCHINI, Umberto; DITLEVSEN, Susanne; DE GAETANO, Andrea et al.Neural computation. 2008, Vol 20, Num 11, pp 2696-2714, issn 0899-7667, 19 p.Article

Population coding is essential for rapid information processing in the moth antennal lobeKOBAYASHI, Ryota; NAMIKI, Shigehiro; KANZAKI, Ryohei et al.Brain research. 2013, Vol 1536, pp 88-96, issn 0006-8993, 9 p.Conference Paper

Responses of single neurons and neuronal ensembles in frog first- and second-order olfactory neuronsROSPARS, Jean-Pierre; SANDA, Pavel; LANSKY, Petr et al.Brain research. 2013, Vol 1536, pp 144-158, issn 0006-8993, 15 p.Conference Paper

Parameters of Spike Trains Observed in a Short Time WindowPAWLAS, Zbynek; KLEBANOV, Lev B; PROKOP, Martin et al.Neural computation. 2008, Vol 20, Num 5, pp 1325-1343, issn 0899-7667, 19 p.Article

Estimation of the individual firing frequencies of two neurons recorded with a single electrodeMEUNIER, Nicolas; MARION-POLL, Frédéric; LANSKY, Petr et al.Chemical senses. 2003, Vol 28, Num 8, pp 671-679, issn 0379-864X, 9 p.Article

The speed of learning instructed stimulus-response association rules in human: Experimental data and modelBUGMANN, Guido; GOSLIN, Jeremy; DUCHAMP-VIRET, Patricia et al.Brain research. 2013, Vol 1536, pp 2-15, issn 0006-8993, 14 p.Conference Paper

Glutamate―AMPAR interaction in a model of synaptic transmissionVENTRIGLIA, Francesco; DI MAIO, Vito.Brain research. 2013, Vol 1536, pp 168-176, issn 0006-8993, 9 p.Conference Paper

Transmission efficiency in ring, brain inspired neuronal networks. Information and energetic aspectsPAPROCKI, Bartosz; SZCZEPANSKI, Janusz.Brain research. 2013, Vol 1536, pp 135-143, issn 0006-8993, 9 p.Conference Paper

Classification of stimuli based on stimulus-response curves and their variabilityLANSKY, Petr; POKORA, Ondrej; ROSPARS, Jean-Pierre et al.Brain research. 2008, Vol 1225, pp 57-66, issn 0006-8993, 10 p.Conference Paper

Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor networkHERMAN, Pawel Andrzej; LUNDQVIST, Mikael; LANSNER, Anders et al.Brain research. 2013, Vol 1536, pp 68-87, issn 0006-8993, 20 p.Conference Paper