Lubomir Kostal
Lubomir Kostal
Institute of Physiology, Czech Academy of Sciences
Verificeret mail på biomed.cas.cz - Startside
Citeret af
Citeret af
Neuronal coding and spiking randomness
L Kostal, P Lansky, JP Rospars
European Journal of Neuroscience 26 (10), 2693-2701, 2007
Efficient olfactory coding in the pheromone receptor neuron of a moth
L Kostal, P Lansky, JP Rospars
PLoS Computational Biology 4 (4), e1000053, 2008
Patterns of spontaneous activity in single rat olfactory receptor neurons are different in normally breathing and tracheotomized animals
P Duchamp‐Viret, L Kostal, M Chaput, P Lánsky, JP Rospars
Journal of Neurobiology 65 (2), 97-114, 2005
Measures of statistical dispersion based on Shannon and Fisher information concepts
L Kostal, P Lansky, O Pokora
Information Sciences 235, 214-223, 2013
Metabolic cost of neuronal information in an empirical stimulus-response model
L Kostal, P Lansky, MD McDonnell
Biological cybernetics 107, 355-365, 2013
Fano Factor: A Potentially Useful Information
K Rajdl, P Lansky, L Kostal
Frontiers in Computational Neuroscience 14, 569049, 2020
Similarity of interspike interval distributions and information gain in a stationary neuronal firing
L Kostal, P Lansky
Biological cybernetics 94 (2), 157-167, 2006
Information capacity in the weak-signal approximation
L Kostal
Physical Review E 82 (2), 026115, 2010
Classification of stationary neuronal activity according to its information rate
L Kostal, P Lánský
Network: Computation in Neural Systems 17 (2), 193-210, 2006
Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth
M Levakova, L Kostal, C Monsempès, P Lucas, R Kobayashi
Journal of the Royal Society Interface 16 (157), 20190246, 2019
Optimal decoding and information transmission in Hodgkin–Huxley neurons under metabolic cost constraints
L Kostal, R Kobayashi
Biosystems 136, 3-10, 2015
The effect of interspike interval statistics on the information gainunder the rate coding hypothesis
S Koyama, L Kostal
Mathematical Biosciences & Engineering 11 (1), 63-80, 2013
Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuations
M Levakova, L Kostal, C Monsempès, V Jacob, P Lucas
PLOS Computational Biology 14 (11), e1006586, 2018
Variability measures of positive random variables
L Kostal, P Lansky, O Pokora
PloS one 6 (7), e21998, 2011
Neuronal jitter: can we measure the spike timing dispersion differently
L Kostal, P Marsalek
Chin J Physiol 53 (6), 454-464, 2010
Statistics of inverse interspike intervals: The instantaneous firing rate revisited
L Kostal, P Lansky, M Stiber
Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (10), 2018
Randomness and variability of the neuronal activity described by the Ornstein–Uhlenbeck model
L Kostal, P Lansky, C Zucca
Network: Computation in Neural Systems 18 (1), 63-75, 2007
Entropy factor for randomness quantification in neuronal data
K Rajdl, P Lansky, L Kostal
Neural Networks 95, 57-65, 2017
Information capacity and its approximations under metabolic cost in a simple homogeneous population of neurons
L Kostal, P Lansky
Biosystems 112 (3), 265-275, 2013
Performance breakdown in optimal stimulus decoding
L Kostal, P Lansky, S Pilarski
Journal of neural engineering 12 (3), 036012, 2015
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