Petr Lansky
Institute of Physiology, Academy of Sciences of the Czech Republic
Videnska 1083, 14220 Prague 4, Czech Republic
Email: lansky@biomed.cas.cz
Phone: +420 241 06 2585, Fax: +420 241 06 2488
Department of Computational Neuroscience
Research Interests
 Stochastic processes and their application in theoretical neurobiology
 Statistical analysis of electrophysiological signals
 Pharmacokinetics
Current Projects
 Models of sensory neurons
 Statistical inference for spike train data
 Enhancement of signal by noise in simple neuronal models
 Information methods in spike train analysis
 Mathematical models in pharmacokinetics
 Neural Coding 2012
Current Coworkers
CV
Education
 Department of Probability and Mathematical Statistics, School of Mathematics and Physical Sciences, Charles University, Prague, Czechoslovakia
 1972: Completion of graduate study
 1977: Conferred RNDr degree
 1982: Conferred CSc degree (corresponds to PhD)
 2012: Conferred DrSc degree
Permanent positions
 1973–1975: assistant researcher, Transportation Research Institute, Prague
 1975–1982: assistant researcher, Institute of Physiology, Academy of Sciences
 1982–1987: researcher, Institute of Physiology, Academy of Sciences
 1987–present: senior researcher, Institute of Physiology, Academy of Sciences
Visiting and temporal positions (one month and more)
 Biomathematics Program, Department of Statistics, North Carolina State University, Raleigh, USA
 Laboratoire de Biometrie, Institut National de la Recherche Agronomique, Versailles, France
 Center for Theoretical Study, Academy of Sciences of the Czech Republic, Prague
 Department of Mathematics, University of Torino, Italy
 Department of Theoretical Physics, CNRS, Marseille, Luminy, France
 Department of Applied Mathematics, University of Naples, Italy
 Department of Biophysics, University of Osaka, Japan
 Department of Environmental Science, University of California, Berkeley, USA
Awards
 1979: Literary Fund Award for the best article in applied mathematics for the paper "On a modification of Renyi's traffic model. Aplikace Matematiky 23: 39–51, 1978."
 1988: Czechoslovak Academy of Sciences Award for the publications on "Qualitative Description of Neuronal Activity"
 1989: Joint Award of Bulgarian and Czechoslovak Academy of Sciences for published research in the area of "Theoretical Aspects of Visual Perception"
 1992: Best Paper Award for the Symposium Biocybernetics and Mathematical Biology to the paper "Some neuronal models with oscillatory input" at Eleventh European Meeting on Cybernetics and System Research
Publications
(if you get interested in any of these, please do not hesitate to ask a copy)

Indra M, Albrecht V, Lansky P, RadilWeiss T: Average evoked brain potential comparison on the basis of spectral and coherency functions. Biological Cybernetics 24: 103–110, 1976.

Albrecht V, Lansky P, Indra M, RadilWeiss T: Wiener filtration versus averaging of evoked responses. Biological Cybernetics 27: 147–154, 1977.

Bohdanecky Z, Lansky P, Indra M, RadilWeiss T: EEG alpha and nonalpha intervals alternation. Biological Cybernetics 30: 109–113, 1978.

Lansky P: On a modification of Renyi's traffic model. Aplikace matematiky 23: 39–51, 1978.

Lansky P, Bohdanecky Z, Indra M, RadilWeiss T: Alpha detection. Biofeedback and Selfregulation 4: 127–131, 1979.

Lansky P, RadilWeiss T: A generalization of the YuleSimon model with special reference to word association tests and neural cell assembly formation. Journal of Mathematical Psychology 21: 53–65, 1980.

RadilWeiss T, Bohdanecky Z, Lansky P: Pacing of behavioral and electroencephalographic events. Acta Neurobiologia Experimentalis 40: 227–238, 1980.

Bohdanecky Z, Lansky P, Radil T: An integral measure of the coherence function between pairs of EEG recordings. Electroencephalography and Clinical Neurophysiology 54: 587–590, 1982.

Lansky P: Selective interaction models of evoked neuronal activity. Journal of Theoretical Neurobiology 2: 173–183, 1983.

Lansky P: Inference for the diffusion models of neuronal activity. Mathematical Biosciences 67: 247–260, 1983.

Bohdanecky Z, Indra M, Lansky P, Radil T: Alternation of EEG alpha and nonalpha periods does not differ in open and closed eye condition in darkness. Acta Neurobiologia Experimentalis 44: 229–232, 1984.

Bohdanecky Z, Lansky P, Radil T: EEG coherence in frontal and occipital region of the brain. Physiologica Bohemoslovaca 33: 189–194, 1984.

Fremuth F, Vana B, Fabian F, Lansky P: Kinetics of growth inhibition in a neoplastic population after repeated cytostatic treatment. Neoplasma 31: 157–164, 1984.

Lansky P: On approximations of Stein's neuronal model. Journal of Theoretical Biology 107: 631–647, 1984.

Lansky P, Pons L: On the statistical approach to the word association tests. Activitas Nervosa Superior 27: 199–212, 1985.

Franek M, Radil T, Indra M, Lansky P: Following complete rhythmical acoustical patterns by tapping. International Journal of Psychophysiology 5: 187–192, 1987.

Lansky P, Lanska V: Diffusion approximation of the neuronal model with synaptic reversal potentials. Biological Cybernetics 56: 19–26, 1987.

Lansky P, Radil T: Statistical inference on spontaneous neuronal discharge patterns. Biological Cybernetics 55: 299–315, 1987.

Lansky P, Yakimoff N, Radil T: On visual orientation of dot patterns. Biological Cybernetics 56: 389–396, 1987.

Giorno V, Lansky P, Nobile AG, Ricciardi LM: Diffusion approximation and firstpassagetime problem for a model neuron. III A birthanddeath process approach. Biological Cybernetics 58: 387–404, 1988.

Lansky P, Yakimoff N, Radil T: Influence of local orientation cues on estimating the tilt of twodimensional patterns. Spatial Vision 3: 9–13, 1988.

Lansky P, Mates J, Radil T: On the visual orientation of random dot Moire´ patterns. Biological Cybernetics 60: 213–219, 1989.

Lansky P, Smith CE: The effect of random initial value in neuronal firstpassagetime models. Mathematical Biosciences 93: 191–215, 1989.

Lansky P, Yakimoff N, Radil T, Mitrani L: Errors in estimating the orientation of dot patterns. Perception 18: 237–242, 1989.

Yakimoff N, Lansky P, Mitrani L, Radil T: Is the 45 oblique a third dominant direction? Acta Neurobiologia Experimentalis 49: 47–50, 1989.

Di Maio V, Lansky P: Area perception in simple geometrical figures. Perceptual and Motor Skills 71: 459–466, 1990.

Mates J, Lansky P, Yakimoff N: Models for the perception of orientation in random dot patterns. Biological Cybernetics 63: 71–80, 1990.

Lansky P, Musila M: Variable initial depolarization in the Stein's neuronal model with synaptic reversal potentials. Biological Cybernetics 64: 285–291, 1991.

Lansky P, Smith CE: A onedimensional neuronal diffusion model with reversal potentials. Journal of Mathematical and Physical Sciences 25: 693–702, 1991.

Lansky P, Yakimoff N, Mates J, Di Maio V: Matching orientation of dot patterns with real, interpolated, and extrapolated lines. Spatial Vision 5: 219–230, 1991.

Musila M, Lansky P: Generalized Stein's model for anatomically complex neurons. BioSystems 25: 179–191, 1991.

Lansky P, Musila M, Smith CE: Effects of afterhyperpolarization on neuronal firing. BioSystems 27: 25–38, 1992.

Mates J, Di Maio V, Lansky P: A model of the perception of area. Spatial Vision 6: 101–116, 1992.

Musila M, Lansky P: A neuronal model with variable synaptic input effect. Cybernetics and System 23: 29–40, 1992.

Musila M, Lansky P: Simulation of a diffusion process with randomly distributed jumps in neuronal context. International Journal of BioMedical Computing 31: 233–245, 1992.

Lansky P, Rospars JP: Coding of odor intensity. BioSystems 31: 15–38, 1993.

Rospars JP, Lansky P: Stochastic model neuron without resetting of dendritic potential. Application to the olfactory system. Biological Cybernetics 69: 283–294, 1993.

Di Maio V, Frucci M, Lansky P: A computer program to study the area perception of squares and rectangles. Computer Methods and Programs in Biomedicine 42: 263–270 1994.

Di Maio V, Lansky P: Perception of area of interpolated figures. Cybernetics and System 25: 567–579, 1994.

Frigessi A, Lansky P, Marioto A: A stochastic model for neuronal bursting. BioSystems 33: 1–16, 1994.

Lanska V, Lansky P, Smith CE: Synaptic transmission in a diffusion model for neural activity. Journal of Theoretical Biology 166: 393–406, 1994.

Lansky P, Lanska V: Firstpassagetime problem for simulated stochastic diffusion processes. Computers in Biology and Medicine 24: 91–101, 1994.

Lansky P, Rospars JP, Vermeulen A: Basic mechanisms of coding stimulus intensity in olfactory sensory neuron. Neural Processing Letters 1: 9–12, 1994.

Musila M, Lansky P: On the interspike intervals calculated from diffusion approximation of Stein's neuronal model with reversal potentials. Journal of Theoretical Biology 171: 225–232, 1994.

Rospars JP, Lansky P, Vaillant J, DuchampViret P, Duchamp A: Spontaneous activity of first and secondorder neurons in the olfactory system. Brain Research 662: 31–44, 1994.

Smith CE, Lansky P: A reliability application of a mixture of Inverse Gaussian distributions. Applied Stochastic models and Data Analysis 10: 61–69, 1994.

Lansky P, Rospars JP: OrnsteinUhlenbeck neuronal model revisited. Biological Cybernetics 72: 397–406, 1995.

Lansky P, Rospars JP: Mathematical approach to transduction processes in olfactory receptor neurons. Journal of the Society of Instrument and Control Engineers 31: 901–906, 1995.

Lansky P, Sacerdote L, Tomassetti F: On the comparison of Feller and OrnsteinUhlenbeck models for neural activity. Biological Cybernetics 75: 457–465, 1995.

Lansky P: A stochastic model for circulatory transport in pharmacokinetics. Mathematical Biosciences 132: 141–167, 1996.

Musila M, Suta D, Lansky P: Computation of first passage time moments for stochastic diffusion processes modelling the nerve membrane depolarization. Computer Methods and Programs in Biomedicine 49: 19–27, 1996.

Rospars JP, Lansky P, Vermeulen A, Tuckwell HC: Coding of odor intensity in a steadystate deterministic model of the olfactory receptor neuron. Journal of Computational Neuroscience 3: 51–72, 1996.

Tuckwell HC, Rospars JP, Vermeulen A, Lansky P: Timedependent solutions for a cable model of an olfactory receptor neuron. Journal of Theoretical Biology 181: 25–31, 1996.

Vermeulen A, Rospars JP, Lansky P, Tuckwell HC: Coding of stimulus intensity in an olfactory receptor neuron: Role of neuron spatial extent and passive dendritic backpropagation of action potential. Bulletin of Mathematical Biology 58: 493–512, 1996.

Lansky P: Sources of periodical force in noisy integrateandfire models of neuronal dynamics. Physical Review E 55: 2040–2043, 1997.

Lansky P, Veliskova J, Velisek L: An indirect method for absorption rate estimation: flurothylinduced seizures. Bulletin of Mathematical Biology 59: 569–579, 1997.

Smith CE, Lansky P, Lung TH: Cycletime and residencetime density approximations in a stochastic model for circulatory transport. Bulletin of Mathematical Biology 59: 1–22, 1997.

Tuckwell HC, Lansky P: On the simulation of biological diffusion processes. Computers in Biology and Medicine 27: 1–7, 1997.

Vermeulen A, Lansky P, Tuckwell HC, Rospars JP: Coding of odour intensity in a sensory neuron. BioSystems 40: 203–210, 1997.

Di Maio V, Lansky P: The MullerLyer illusion in interpolated figures. Perceptual and Motor Skills 87: 499–504, 1998.

Lanska V, Lansky P: Input parameters in a onedimensional neuronal model with reversal potentials. BioSystems 48: 123–129, 1998.

Lansky P, Rospars JP: Odorant concentration and receptor potential in olfactory sensory neurones. BioSystems 48: 131–138, 1998.

Lansky P, Rodriguez R: The spatial properties of a model neuron increase its coding range. Biological Cybernetics 81: 161–167, 1999.

Lansky P, Rodriguez R: Twocompartment stochastic model of a neuron. Physica D: Nonlinear Phenomena 132: 267–286, 1999.

Lansky P, Sato S: The stochastic diffusion models of nerve membrane depolarization and interspike interval generation. Journal of Peripheral Nervous Systems 4: 27–42, 1999.

Lansky P, Weiss M: Does the dosesolubility ratio affect the mean dissolution time of drugs? Pharmaceutical Research 16: 1472–1478, 1999.

Migliore M, Lansky P: Computational model of the effects of stochastic conditioning on the induction of LongTerm Potentiation and Depression. Biological Cybernetics 81: 291–298, 1999.

Migliore M, Lansky P: LongTerm Potentiation and Depression induced by a stochastic conditioning of a model synapse. Biophysical Journal 77: 1234–1243, 1999.

Lansky P, Vaillant J: Stochastic model of the overdispersion in the place cell discharge. BioSystems 77: 27–32, 2000.

Rodriguez R, Lansky P: Effect of spatial extension on noise enhanced phaselocking in a leaky integrateandfire model of a neuron. Physical Review E 62: 8427–8437, 2000.

Rodriguez R, Lansky P: A simple stochastic model of spatially complex neuron. BioSystems 77: 49–58, 2000.

Rospars JP, Krivan V, Lansky P: Perireceptor and receptor events in olfaction. Comparison of concentration and flux detectors: A modeling study. Chemical Senses 25: 293–311, 2000.

Rospars JP, Lansky P, DuchampViret P, Duchamp A: Spiking frequency vs. odorant concetration in olfactory receptor neurons. BioSystems 77: 133–141, 2000.

Vaillant J, Lansky P: Multidimensional counting processes and evoked neuronal activity. IMA Journal of Mathematics Applied in Medicine and Biology 17: 53–75, 2000.

Getz WM, Lansky P: Receptor dissociation constants and the information entropy of membranes coding ligand concentration. Chemical Senses 26: 95–104, 2001.

Lansky P, Fenton AA, Vaillant J: The overdispersion in activity of place cells. Neurocomputing 38–40: 1393–1399, 2001.

Lansky P, Getz WM: Sensitivity and coding range in olfactory sensory neuron. Role of heterogeneity of receptors. Bulletin of Mathematical Biology 63: 885–908, 2001.

Lansky P, Krivan V, Rospars JP: Ligand interaction with receptors under periodic stimulation: A modeling study with application to concentration chemoreceptors. European Biophysics Journal 30: 110–120, 2001.

Lansky P, Sacerdote L: The OrnsteinUhlenbeck neuronal model with the signaldependent noise. Physics Letters A 285: 132–140, 2001.

Lansky P, Weiss M: Heterogeneity of particles and random effects in dissolution kinetics. Pharmaceutical Research 18: 1061–1067, 2001.

Rospars JP, Lansky P, DuchampViret P, Duchamp A: Characterizing and modeling concentrationresponse curves of olfactory receptor cells. Neurocomputing 38–40: 319–325, 2001.

Olypher A, Lansky P, Fenton AA: Properties of the extrapositional signal in hippocampal place cell discharge derived from modeling the overdispersion in locationspecific firing. Neuroscience 111: 553–566, 2002.

Sacerdote L, Lansky P: Interspike interval statistics in the OrnsteinUhlenbeck neuronal model with signaldependent noise. Biosystems 67: 213–219, 2002.

Olypher A, Lansky P, Fenton AA: On the locationspecific positional and extrapositional information in the discharge of rat hippocampal cells. Biosystems 67: 167–175, 2002.

Krivan V, Lansky P, Rospars JP: Coding of periodic pulse stimulation in chemoreceptors. Biosystems 67: 121–128, 2002.

Guenot M, Bullier J, Rospars JP, et al.: Singleunit analysis of the spinal dorsal horn in patients with neuropathic pain. Journal of Clinical Neurophysiology 20: 143–150, 2003.

Rodriguez R, Lansky P, Di Maio V: Vesicular mechanisms and estimates of firing probability in a network of spiking neurons. Physica DNonlinear Phenomena 181: 132–145, 2003.

Lansky P, Weiss M: Classification of dissolution profiles in terms of fractional dissolution rate and a novel measure of heterogeneity. Journal of Pharmaceutical Sciences 92: 1632–1647, 2003.

Rospars JP, Lansky P, Krivan V: Extracellular transduction events under pulsed stimulation in moth olfactory sensilla. Chemical Senses 28: 509–522, 2003.

Olypher A, Lansky P, Muller RU, Fenton AA: Quantifying locationspecific information in the discharge of rat hippocampal place cells. Journal of Neuroscience Methods 127: 123–135, 2003.

Rospars JP, Lansky P, Duchamp A, DuchampViret P: Relation between stimulus and response in frog olfactory receptor neurons in vivo. European Journal of Neuroscience 18: 1135–1154, 2003.

Lansky P, Weiss M: Role of heterogeneity in deterministic models of drug dissolution and their statistical characteristics. Biosystems 71: 123–131, 2003.

Meunier N, MarionPoll F, Lansky P, Rospars JP: Estimation of the individual firing frequencies of two neurons recorded with a single electrode. Chemical Senses 28: 671–679, 2003.

Lansky P, Rodriguez R, Sacerdote L: Mean instantaneous firing frequency is always higher than the firing rate. Neural Computation 16: 477–489, 2004.

Rospars JP, Lansky P: Stochastic pulse stimulation in chemoreceptors and its properties. Mathematical Biosciences 188: 133–145, 2004.

Di Maio V, Lansky P, Rodriguez R: Different types of noise in leaky integrateandfire model of neuronal dynamics with discrete periodical input. General Physiology and Biophysics 23: 21–38, 2004.

Bures J, Lansky P: From spreading depression to spatial cognition. Physiological Research 53: S177S185, 2004.

Lansky P, Lanska V, Weiss M: A stochastic differential equation model for drug dissolution and its parameters. Journal of Controlled Release 100: 267–274, 2004.

Ditlevsen S, Lansky P: Estimation of the input parameters in the OrnsteinUhlenbeck neuronal model. Physical Review E 71: Art. No. 011907, 2005.

Greenwood PE, Lansky P: Optimum signal in a simple neuronal model with signaldependent noise. Biological Cybernetics 92: 199–205, 2005.

Marsalek P, Lansky P: Proposed mechanisms for coincidence detection in the auditory brainstem. Biological Cybernetics 92: 445–451, 2005.

Lansky P, Greenwood PE: Optimal signal estimation in neuronal models. Neural Computation 17: 2240–2257, 2005.

DuchampViret P, Kostal L, Chaput M, Lansky P, Rospars JP: Patterns of spontaneous activity in single rat olfactory receptor neurons are different in normally breathing and tracheotomized animals. Journal of Neurobiology 65: 97–114, 2005.

Kostal L, Lansky P: Similarity of interspike interval distributions and information gain in a stationary neuronal firing. Biological Cybernetics 94: 157–167, 2006.

Ditlevsen S, Lansky P: Estimation of the input parameters in the Feller neuronal model. Physical Review E 73: 061910, 2006.

Kostal L, Lansky P: Classification of stationary neuronal activity according to its information rate. Network  Computation in Neural Systems 17: 193–210, 2006.

Lansky P, Sanda P, He JF: The parameters of the stochastic leaky integrateandfire neuronal model. Journal of Computational Neuroscience 21: 211–223, 2006.

Greenwood PE, Lansky P: Information content in threshold data with nonGaussian noise. Fluctuation and noise letters 7: L79L89, 2007.

Kostal L, Lansky P: Variability and randomness in stationary neuronal activity. Biosystems 89: 44–49, 2007.

Kostal L, Lansky P, Rospars JP: Encoding of pheromone intensity by dynamic activation of pheromone receptors. Neurocomputing 70: 1759–1763, 2007.

Kostal L, Lansky P, Zucca C: Randomness and variability of the neuronal activity described by the OrnsteinUhlenbeck model. Network  Computation in Neural Systems 18: 63–75, 2007.

Lansky P, Greenwood PE: Optimal signal in sensory neurons under an extended rate coding concept. Biosystems 89: 10–15, 2007.

Lansky P, Sacerdote L, Zucca C: Optimum signal in a diffusion leaky integrateandfire neuronal model. Mathematical Biosciences 207: 261–274, 2007.

Lansky P, Sanda P, Weiss M: Modeling the influence of nonadherance on antibiotic efficacy: application to ciprofloxacin. International Journal of Clinical Pharmacology and Therapeutics 45: 438–447, 2007.

Ditlevsen S., Lansky P: Parameters of stochastic diffusion processes estimated from observations of firsthitting times: Application to the leaky integrateandfire neuronal model. Physical Review E 76: 041906, 2007.

Kostal L, Lansky P, Rospars JP: Review: Neuronal coding and spiking randomness. European Journal of Neuroscience 26: 2693–2701, 2007.

Pawlas Z, Klebanov LB, Prokop M, Lansky P: Parameters of Spike Trains Observed in a Short Time Window. Neural Computation 20: 1325–1343, 2008.

Rospars JP, Lansky P, Chaput M, Viret P: Competitive and noncompetitive odorant interaction in the early neural coding of odorant mixtures. Journal of Neuroscience 28: 2659–2666, 2008.

Hampel D, Lansky P: On the estimation of refractory period. Journal of Neuroscience Methods 171: 288–295, 2008.

Kostal L, Lansky P, Rospars JP: Efficient olfactory coding in the pheromone receptor neuron of a moth. PLoS Computational Biology 4: e1000053, 2008.

Kostal L, Lansky P: Randomness of Spontaneous Activity and Information Transfer in Neurons. Physiological Research, 57: S133S138.

Lansky P, Pokora O, Rospars JP: Classification of stimuli based on stimulusresponse curves and their variability. Brain Research 1225: 57–66, 2008.

Pokora O, Lansky P: Classification of stimuli based on stimulusresponse curves and their variability. Mathematical Biosciences 214: 100–108, 2008.

Bibbona E, Lansky P, Sacerdote L, Sirovich R: Errors in estimation of input signal for integrateandfire neuronal models. Physical Review E 78: 011918, 2008.

Lansky P, Ditlevsen S: A review of the methods for signal estimation in stochastic diffusion leaky integrateandfire neuronal models. Biological Cybernetics 99: 253–262, 2008.

Picchini U, Ditlevsen S., De Gaetano A., Lansky P: Parameters of the Diffusion Leaky IntegrateandFire Neuronal Model for a Slowly Fluctuating Signal. Neural Computation 20: 2696–2714, 2008.

Bibbona E, Lansky P, Sirovich R: Estimating input parameters from intracellular recordings in the Feller neuronal model. Physical Review E 81: 031916, 2010.

Pawlas Z, Klebanov LB, Benes, V, Prokesova M, Popelar J, Lansky P: Firstspike latency in the presence of spontaneous activity. Neural Computation 22: 1675–1697, 2010.

Lansky P, Sanda P, He JF: Effect of stimulation on the input parameters of stochastic leaky integrateandfire neuronal model. Journal of Physiology  Paris 104: 160–166, 2010.

Kostal L, Lansky P: Information transfer for smallamplitude signals. Physical Review E 81: 050901, 2010.

Cupera J, Lansky P: Random effects in drug dissolution. European Journal of Pharmaceutical Sciences 41: 430–439, 2010.

Pawlas Z, Lansky P: Distribution of interspike intervals estimated from multiple spike trains observed in a short time window. Physical Review E 83: 011910, 2011.

Kostal L, Lansky P, Pokora O: Variability Measures of Positive Random Variables. PLoS ONE 6: e21998, 2011.

Ditlevsen S, Lansky P: Firing Variability Is Higher than Deduced from the Empirical Coefficient. Neural Computation 23: 1944–1966, 2011.

Cupera J, Lansky P: Homogeneous diffusion layer model of dissolution incorporating the initial transient phase. International Journal of Pharmaceutics 416: 35–42, 2011.

Kobayashi R, Shinomoto S, Lansky P: Estimation of TimeDependent Input from Neuronal Membrane Potential. Neural Computation 23: 3070–3093, 2011.
Personal Interests