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Marie Levakova

Showing results (1-10 of 9) with videos related to

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Mathematical Biosciences and Engineering : MBE|April 24, 2016
Effect of spontaneous activity on stimulus detection in a simple neuronal modelMarie Levakova
Bio Systems|July 8, 2017
Efficiency of rate and latency coding with respect to metabolic cost and timeMarie Levakova
Biological Cybernetics|June 26, 2014
Estimating latency from inhibitory inputMarie Levakova, Susanne Ditlevsen, Petr Lansky
Royal Society Open Science|December 5, 2022
Classification of brain states that predicts future performance in visual tasks based on co-integration analysis of EEG dataMarie Levakova, Jeppe Høy Christensen, Susanne Ditlevsen
Physical Review. E|March 17, 2017
Accuracy of rate coding: When shorter time window and higher spontaneous activity helpMarie Levakova, Massimiliano Tamborrino, Lubomir Kostal, et al.
Bio Systems|May 6, 2015
A review of the methods for neuronal response latency estimationMarie Levakova, Massimiliano Tamborrino, Susanne Ditlevsen, et al.
Neural Computation|August 25, 2016
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency CodingMarie Levakova, Massimiliano Tamborrino, Lubomir Kostal, et al.
Plos Computational Biology|November 14, 2018
Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuationsMarie Levakova, Lubomir Kostal, Christelle Monsempès, et al.
Journal of the Royal Society, Interface|August 8, 2019
Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a mothMarie Levakova, Lubomir Kostal, Christelle Monsempès, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Mathematical Biosciences and Engineering : MBE|April 24, 2016
Effect of spontaneous activity on stimulus detection in a simple neuronal modelMarie Levakova
Bio Systems|July 8, 2017
Efficiency of rate and latency coding with respect to metabolic cost and timeMarie Levakova
Biological Cybernetics|June 26, 2014
Estimating latency from inhibitory inputMarie Levakova, Susanne Ditlevsen, Petr Lansky
Royal Society Open Science|December 5, 2022
Classification of brain states that predicts future performance in visual tasks based on co-integration analysis of EEG dataMarie Levakova, Jeppe Høy Christensen, Susanne Ditlevsen
Physical Review. E|March 17, 2017
Accuracy of rate coding: When shorter time window and higher spontaneous activity helpMarie Levakova, Massimiliano Tamborrino, Lubomir Kostal, et al.
Bio Systems|May 6, 2015
A review of the methods for neuronal response latency estimationMarie Levakova, Massimiliano Tamborrino, Susanne Ditlevsen, et al.
Neural Computation|August 25, 2016
Presynaptic Spontaneous Activity Enhances the Accuracy of Latency CodingMarie Levakova, Massimiliano Tamborrino, Lubomir Kostal, et al.
Plos Computational Biology|November 14, 2018
Moth olfactory receptor neurons adjust their encoding efficiency to temporal statistics of pheromone fluctuationsMarie Levakova, Lubomir Kostal, Christelle Monsempès, et al.
Journal of the Royal Society, Interface|August 8, 2019
Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a mothMarie Levakova, Lubomir Kostal, Christelle Monsempès, et al.
Pageof 1