Picture: Petr Lansky

Petr Lansky

Institute of Physiology,   Academy of Sciences of the Czech Republic

Videnska 1083, 14220 Prague 4, Czech Republic

E-mail: lansky@biomed.cas.cz

Phone: +420  241 06 2585,   Fax: +420  241 06 2488

Department of Computational Neuroscience

Research Interests

Current Projects

Current Co-workers



Permanent positions

Visiting and temporal positions (one month and more)



(if you get interested in any of these, please do not hesitate to ask a copy)

  1. Indra M, Albrecht V, Lansky P, Radil-Weiss T: Average evoked brain potential comparison on the basis of spectral and coherency functions. Biological Cybernetics 24: 103–110, 1976.
  2. Albrecht V, Lansky P, Indra M, Radil-Weiss T: Wiener filtration versus averaging of evoked responses. Biological Cybernetics 27: 147–154, 1977.
  3. Bohdanecky Z, Lansky P, Indra M, Radil-Weiss T: EEG alpha and non-alpha intervals alternation. Biological Cybernetics 30: 109–113, 1978.
  4. Lansky P: On a modification of Renyi's traffic model. Aplikace matematiky 23: 39–51, 1978.
  5. Lansky P, Bohdanecky Z, Indra M, Radil-Weiss T: Alpha detection. Biofeedback and Selfregulation 4: 127–131, 1979.
  6. Lansky P, Radil-Weiss T: A generalization of the Yule-Simon model with special reference to word association tests and neural cell assembly formation. Journal of Mathematical Psychology 21: 53–65, 1980.
  7. Radil-Weiss T, Bohdanecky Z, Lansky P: Pacing of behavioral and electro-encephalographic events. Acta Neurobiologia Experimentalis 40: 227–238, 1980.
  8. 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.
  9. Lansky P: Selective interaction models of evoked neuronal activity. Journal of Theoretical Neurobiology 2: 173–183, 1983.
  10. Lansky P: Inference for the diffusion models of neuronal activity. Mathematical Biosciences 67: 247–260, 1983.
  11. Bohdanecky Z, Indra M, Lansky P, Radil T: Alternation of EEG alpha and non-alpha periods does not differ in open and closed eye condition in darkness. Acta Neurobiologia Experimentalis 44: 229–232, 1984.
  12. Bohdanecky Z, Lansky P, Radil T: EEG coherence in frontal and occipital region of the brain. Physiologica Bohemoslovaca 33: 189–194, 1984.
  13. 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.
  14. Lansky P: On approximations of Stein's neuronal model. Journal of Theoretical Biology 107: 631–647, 1984.
  15. Lansky P, Pons L: On the statistical approach to the word association tests. Activitas Nervosa Superior 27: 199–212, 1985.
  16. Franek M, Radil T, Indra M, Lansky P: Following complete rhythmical acoustical patterns by tapping. International Journal of Psychophysiology 5: 187–192, 1987.
  17. Lansky P, Lanska V: Diffusion approximation of the neuronal model with synaptic reversal potentials. Biological Cybernetics 56: 19–26, 1987.
  18. Lansky P, Radil T: Statistical inference on spontaneous neuronal discharge patterns. Biological Cybernetics 55: 299–315, 1987.
  19. Lansky P, Yakimoff N, Radil T: On visual orientation of dot patterns. Biological Cybernetics 56: 389–396, 1987.
  20. Giorno V, Lansky P, Nobile AG, Ricciardi LM: Diffusion approximation and first-passage-time problem for a model neuron. III A birth-and-death process approach. Biological Cybernetics 58: 387–404, 1988.
  21. Lansky P, Yakimoff N, Radil T: Influence of local orientation cues on estimating the tilt of two-dimensional patterns. Spatial Vision 3: 9–13, 1988.
  22. Lansky P, Mates J, Radil T: On the visual orientation of random dot Moire┬┤ patterns. Biological Cybernetics 60: 213–219, 1989.
  23. Lansky P, Smith CE: The effect of random initial value in neuronal first-passage-time models. Mathematical Biosciences 93: 191–215, 1989.
  24. Lansky P, Yakimoff N, Radil T, Mitrani L: Errors in estimating the orientation of dot patterns. Perception 18: 237–242, 1989.
  25. Yakimoff N, Lansky P, Mitrani L, Radil T: Is the 45 oblique a third dominant direction? Acta Neurobiologia Experimentalis 49: 47–50, 1989.
  26. Di Maio V, Lansky P: Area perception in simple geometrical figures. Perceptual and Motor Skills 71: 459–466, 1990.
  27. Mates J, Lansky P, Yakimoff N: Models for the perception of orientation in random dot patterns. Biological Cybernetics 63: 71–80, 1990.
  28. Lansky P, Musila M: Variable initial depolarization in the Stein's neuronal model with synaptic reversal potentials. Biological Cybernetics 64: 285–291, 1991.
  29. Lansky P, Smith CE: A one-dimensional neuronal diffusion model with reversal potentials. Journal of Mathematical and Physical Sciences 25: 693–702, 1991.
  30. 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.
  31. Musila M, Lansky P: Generalized Stein's model for anatomically complex neurons. BioSystems 25: 179–191, 1991.
  32. Lansky P, Musila M, Smith CE: Effects of afterhyperpolarization on neuronal firing. BioSystems 27: 25–38, 1992.
  33. Mates J, Di Maio V, Lansky P: A model of the perception of area. Spatial Vision 6: 101–116, 1992.
  34. Musila M, Lansky P: A neuronal model with variable synaptic input effect. Cybernetics and System 23: 29–40, 1992.
  35. Musila M, Lansky P: Simulation of a diffusion process with randomly distributed jumps in neuronal context. International Journal of Bio-Medical Computing 31: 233–245, 1992.
  36. Lansky P, Rospars JP: Coding of odor intensity. BioSystems 31: 15–38, 1993.
  37. Rospars JP, Lansky P: Stochastic model neuron without resetting of dendritic potential. Application to the olfactory system. Biological Cybernetics 69: 283–294, 1993.
  38. 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.
  39. Di Maio V, Lansky P: Perception of area of interpolated figures. Cybernetics and System 25: 567–579, 1994.
  40. Frigessi A, Lansky P, Marioto A: A stochastic model for neuronal bursting. BioSystems 33: 1–16, 1994.
  41. Lanska V, Lansky P, Smith CE: Synaptic transmission in a diffusion model for neural activity. Journal of Theoretical Biology 166: 393–406, 1994.
  42. Lansky P, Lanska V: First-passage-time problem for simulated stochastic diffusion processes. Computers in Biology and Medicine 24: 91–101, 1994.
  43. Lansky P, Rospars JP, Vermeulen A: Basic mechanisms of coding stimulus intensity in olfactory sensory neuron. Neural Processing Letters 1: 9–12, 1994.
  44. 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.
  45. Rospars JP, Lansky P, Vaillant J, Duchamp-Viret P, Duchamp A: Spontaneous activity of first- and second-order neurons in the olfactory system. Brain Research 662: 31–44, 1994.
  46. Smith CE, Lansky P: A reliability application of a mixture of Inverse Gaussian distributions. Applied Stochastic models and Data Analysis 10: 61–69, 1994.
  47. Lansky P, Rospars JP: Ornstein-Uhlenbeck neuronal model revisited. Biological Cybernetics 72: 397–406, 1995.
  48. 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.
  49. Lansky P, Sacerdote L, Tomassetti F: On the comparison of Feller and Ornstein-Uhlenbeck models for neural activity. Biological Cybernetics 75: 457–465, 1995.
  50. Lansky P: A stochastic model for circulatory transport in pharmacokinetics. Mathematical Biosciences 132: 141–167, 1996.
  51. 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.
  52. Rospars JP, Lansky P, Vermeulen A, Tuckwell HC: Coding of odor intensity in a steady-state deterministic model of the olfactory receptor neuron. Journal of Computational Neuroscience 3: 51–72, 1996.
  53. Tuckwell HC, Rospars JP, Vermeulen A, Lansky P: Time-dependent solutions for a cable model of an olfactory receptor neuron. Journal of Theoretical Biology 181: 25–31, 1996.
  54. 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.
  55. Lansky P: Sources of periodical force in noisy integrate-and-fire models of neuronal dynamics. Physical Review E 55: 2040–2043, 1997.
  56. Lansky P, Veliskova J, Velisek L: An indirect method for absorption rate estimation: flurothyl-induced seizures. Bulletin of Mathematical Biology 59: 569–579, 1997.
  57. Smith CE, Lansky P, Lung TH: Cycle-time and residence-time density approximations in a stochastic model for circulatory transport. Bulletin of Mathematical Biology 59: 1–22, 1997.
  58. Tuckwell HC, Lansky P: On the simulation of biological diffusion processes. Computers in Biology and Medicine 27: 1–7, 1997.
  59. Vermeulen A, Lansky P, Tuckwell HC, Rospars JP: Coding of odour intensity in a sensory neuron. BioSystems 40: 203–210, 1997.
  60. Di Maio V, Lansky P: The Muller-Lyer illusion in interpolated figures. Perceptual and Motor Skills 87: 499–504, 1998.
  61. Lanska V, Lansky P: Input parameters in a one-dimensional neuronal model with reversal potentials. BioSystems 48: 123–129, 1998.
  62. Lansky P, Rospars JP: Odorant concentration and receptor potential in olfactory sensory neurones. BioSystems 48: 131–138, 1998.
  63. Lansky P, Rodriguez R: The spatial properties of a model neuron increase its coding range. Biological Cybernetics 81: 161–167, 1999.
  64. Lansky P, Rodriguez R: Two-compartment stochastic model of a neuron. Physica D: Nonlinear Phenomena 132: 267–286, 1999.
  65. 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.
  66. Lansky P, Weiss M: Does the dose-solubility ratio affect the mean dissolution time of drugs? Pharmaceutical Research 16: 1472–1478, 1999.
  67. Migliore M, Lansky P: Computational model of the effects of stochastic conditioning on the induction of Long-Term Potentiation and Depression. Biological Cybernetics 81: 291–298, 1999.
  68. Migliore M, Lansky P: Long-Term Potentiation and Depression induced by a stochastic conditioning of a model synapse. Biophysical Journal 77: 1234–1243, 1999.
  69. Lansky P, Vaillant J: Stochastic model of the overdispersion in the place cell discharge. BioSystems 77: 27–32, 2000.
  70. Rodriguez R, Lansky P: Effect of spatial extension on noise enhanced phase-locking in a leaky integrate-and-fire model of a neuron. Physical Review E 62: 8427–8437, 2000.
  71. Rodriguez R, Lansky P: A simple stochastic model of spatially complex neuron. BioSystems 77: 49–58, 2000.
  72. 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.
  73. Rospars JP, Lansky P, Duchamp-Viret P, Duchamp A: Spiking frequency vs. odorant concetration in olfactory receptor neurons. BioSystems 77: 133–141, 2000.
  74. Vaillant J, Lansky P: Multidimensional counting processes and evoked neuronal activity. IMA Journal of Mathematics Applied in Medicine and Biology 17: 53–75, 2000.
  75. Getz WM, Lansky P: Receptor dissociation constants and the information entropy of membranes coding ligand concentration. Chemical Senses 26: 95–104, 2001.
  76. Lansky P, Fenton AA, Vaillant J: The overdispersion in activity of place cells. Neurocomputing 38–40: 1393–1399, 2001.
  77. 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.
  78. 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.
  79. Lansky P, Sacerdote L: The Ornstein-Uhlenbeck neuronal model with the signal-dependent noise. Physics Letters A 285: 132–140, 2001.
  80. Lansky P, Weiss M: Heterogeneity of particles and random effects in dissolution kinetics. Pharmaceutical Research 18: 1061–1067, 2001.
  81. Rospars JP, Lansky P, Duchamp-Viret P, Duchamp A: Characterizing and modeling concentration-response curves of olfactory receptor cells. Neurocomputing 38–40: 319–325, 2001.
  82. Olypher A, Lansky P, Fenton AA: Properties of the extra-positional signal in hippocampal place cell discharge derived from modeling the overdispersion in location-specific firing. Neuroscience 111: 553–566, 2002.
  83. Sacerdote L, Lansky P: Interspike interval statistics in the Ornstein-Uhlenbeck neuronal model with signal-dependent noise. Biosystems 67: 213–219, 2002.
  84. Olypher A, Lansky P, Fenton AA: On the location-specific positional and extra-positional information in the discharge of rat hippocampal cells. Biosystems 67: 167–175, 2002.
  85. Krivan V, Lansky P, Rospars JP: Coding of periodic pulse stimulation in chemoreceptors. Biosystems 67: 121–128, 2002.
  86. Guenot M, Bullier J, Rospars JP, et al.: Single-unit analysis of the spinal dorsal horn in patients with neuropathic pain. Journal of Clinical Neurophysiology 20: 143–150, 2003.
  87. Rodriguez R, Lansky P, Di Maio V: Vesicular mechanisms and estimates of firing probability in a network of spiking neurons. Physica D-Nonlinear Phenomena 181: 132–145, 2003.
  88. 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.
  89. Rospars JP, Lansky P, Krivan V: Extracellular transduction events under pulsed stimulation in moth olfactory sensilla. Chemical Senses 28: 509–522, 2003.
  90. Olypher A, Lansky P, Muller RU, Fenton AA: Quantifying location-specific information in the discharge of rat hippocampal place cells. Journal of Neuroscience Methods 127: 123–135, 2003.
  91. Rospars JP, Lansky P, Duchamp A, Duchamp-Viret P: Relation between stimulus and response in frog olfactory receptor neurons in vivo. European Journal of Neuroscience 18: 1135–1154, 2003.
  92. Lansky P, Weiss M: Role of heterogeneity in deterministic models of drug dissolution and their statistical characteristics. Biosystems 71: 123–131, 2003.
  93. Meunier N, Marion-Poll 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.
  94. Lansky P, Rodriguez R, Sacerdote L: Mean instantaneous firing frequency is always higher than the firing rate. Neural Computation 16: 477–489, 2004.
  95. Rospars JP, Lansky P: Stochastic pulse stimulation in chemoreceptors and its properties. Mathematical Biosciences 188: 133–145, 2004.
  96. Di Maio V, Lansky P, Rodriguez R: Different types of noise in leaky integrate-and-fire model of neuronal dynamics with discrete periodical input. General Physiology and Biophysics 23: 21–38, 2004.
  97. Bures J, Lansky P: From spreading depression to spatial cognition. Physiological Research 53: S177-S185, 2004.
  98. 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.
  99. Ditlevsen S, Lansky P: Estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model. Physical Review E 71: Art. No. 011907, 2005.
  100. Greenwood PE, Lansky P: Optimum signal in a simple neuronal model with signal-dependent noise. Biological Cybernetics 92: 199–205, 2005.
  101. Marsalek P, Lansky P: Proposed mechanisms for coincidence detection in the auditory brainstem. Biological Cybernetics 92: 445–451, 2005.
  102. Lansky P, Greenwood PE: Optimal signal estimation in neuronal models. Neural Computation 17: 2240–2257, 2005.
  103. Duchamp-Viret 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.
  104. Kostal L, Lansky P: Similarity of interspike interval distributions and information gain in a stationary neuronal firing. Biological Cybernetics 94: 157–167, 2006.
  105. Ditlevsen S, Lansky P: Estimation of the input parameters in the Feller neuronal model. Physical Review E 73: 061910, 2006.
  106. Kostal L, Lansky P: Classification of stationary neuronal activity according to its information rate. Network - Computation in Neural Systems 17: 193–210, 2006.
  107. Lansky P, Sanda P, He JF: The parameters of the stochastic leaky integrate-and-fire neuronal model. Journal of Computational Neuroscience 21: 211–223, 2006.
  108. Greenwood PE, Lansky P: Information content in threshold data with non-Gaussian noise. Fluctuation and noise letters 7: L79-L89, 2007.
  109. Kostal L, Lansky P: Variability and randomness in stationary neuronal activity. Biosystems 89: 44–49, 2007.
  110. Kostal L, Lansky P, Rospars JP: Encoding of pheromone intensity by dynamic activation of pheromone receptors. Neurocomputing 70: 1759–1763, 2007.
  111. Kostal L, Lansky P, Zucca C: Randomness and variability of the neuronal activity described by the Ornstein-Uhlenbeck model. Network - Computation in Neural Systems 18: 63–75, 2007.
  112. Lansky P, Greenwood PE: Optimal signal in sensory neurons under an extended rate coding concept. Biosystems 89: 10–15, 2007.
  113. Lansky P, Sacerdote L, Zucca C: Optimum signal in a diffusion leaky integrate-and-fire neuronal model. Mathematical Biosciences 207: 261–274, 2007.
  114. Lansky P, Sanda P, Weiss M: Modeling the influence of non-adherance on antibiotic efficacy: application to ciprofloxacin. International Journal of Clinical Pharmacology and Therapeutics 45: 438–447, 2007.
  115. Ditlevsen S., Lansky P: Parameters of stochastic diffusion processes estimated from observations of first-hitting times: Application to the leaky integrate-and-fire neuronal model. Physical Review E 76: 041906, 2007.
  116. Kostal L, Lansky P, Rospars J-P: Review: Neuronal coding and spiking randomness. European Journal of Neuroscience 26: 2693–2701, 2007.
  117. Pawlas Z, Klebanov LB, Prokop M, Lansky P: Parameters of Spike Trains Observed in a Short Time Window. Neural Computation 20: 1325–1343, 2008.
  118. Rospars J-P, 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.
  119. Hampel D, Lansky P: On the estimation of refractory period. Journal of Neuroscience Methods 171: 288–295, 2008.
  120. Kostal L, Lansky P, Rospars J-P: Efficient olfactory coding in the pheromone receptor neuron of a moth. PLoS Computational Biology 4: e1000053, 2008.
  121. Kostal L, Lansky P: Randomness of Spontaneous Activity and Information Transfer in Neurons. Physiological Research, 57: S133-S138.
  122. Lansky P, Pokora O, Rospars JP: Classification of stimuli based on stimulus-response curves and their variability. Brain Research 1225: 57–66, 2008.
  123. Pokora O, Lansky P: Classification of stimuli based on stimulus-response curves and their variability. Mathematical Biosciences 214: 100–108, 2008.
  124. Bibbona E, Lansky P, Sacerdote L, Sirovich R: Errors in estimation of input signal for integrate-and-fire neuronal models. Physical Review E 78: 011918, 2008.
  125. Lansky P, Ditlevsen S: A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models. Biological Cybernetics 99: 253–262, 2008.
  126. Picchini U, Ditlevsen S., De Gaetano A., Lansky P: Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal. Neural Computation 20: 2696–2714, 2008.
  127. Bibbona E, Lansky P, Sirovich R: Estimating input parameters from intracellular recordings in the Feller neuronal model. Physical Review E 81: 031916, 2010.
  128. 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.
  129. Lansky P, Sanda P, He JF: Effect of stimulation on the input parameters of stochastic leaky integrate-and-fire neuronal model. Journal of Physiology - Paris 104: 160–166, 2010.
  130. Kostal L, Lansky P: Information transfer for small-amplitude signals. Physical Review E 81: 050901, 2010.
  131. Cupera J, Lansky P: Random effects in drug dissolution. European Journal of Pharmaceutical Sciences 41: 430–439, 2010.
  132. 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.
  133. Kostal L, Lansky P, Pokora O: Variability Measures of Positive Random Variables. PLoS ONE 6: e21998, 2011.
  134. Ditlevsen S, Lansky P: Firing Variability Is Higher than Deduced from the Empirical Coefficient. Neural Computation 23: 1944–1966, 2011.
  135. Cupera J, Lansky P: Homogeneous diffusion layer model of dissolution incorporating the initial transient phase. International Journal of Pharmaceutics 416: 35–42, 2011.
  136. Kobayashi R, Shinomoto S, Lansky P: Estimation of Time-Dependent Input from Neuronal Membrane Potential. Neural Computation 23: 3070–3093, 2011.

Personal Interests