Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
about
Density-based clustering: A 'landscape view' of multi-channel neural data for inference and dynamic complexity analysisCognitive tasks and cerebral blood flow through anterior cerebral arteries: a study via functional transcranial Doppler ultrasound recordings.Lempel-Ziv complexity of cortical activity during sleep and waking in rats.Increased spontaneous MEG signal diversity for psychoactive doses of ketamine, LSD and psilocybin.Nonlinear analysis of saccade speed fluctuations during combined action and perception tasksNeural coding properties based on spike timing and pattern correlation of retinal ganglion cells.Neuronal functional connection graphs among multiple areas of the rat somatosensory system during spontaneous and evoked activities.Mutual information against correlations in binary communication channels.Unifying complexity and information.Aging and cardiovascular complexity: effect of the length of RR tachograms.Structure Function Revisited: A Simple Tool for Complex Analysis of Neuronal Activity.Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences.Nonlinear dynamical analysis of carbachol induced hippocampal oscillations in mice.Multiscale dynamic analysis of blast furnace system based on intensive signal processing.The computational structure of spike trains.Information diversity in structure and dynamics of simulated neuronal networks.A tunable support vector machine assembly classifier for epileptic seizure detection.Complexity of VTA DA neural activities in response to PFC transection in nicotine treated rats.Estimating the amount of information conveyed by a population of neurons.Approaches to Information-Theoretic Analysis of Neural Activity.Estimating entropy rates with Bayesian confidence intervals.Infragranular layers lead information flow during slow oscillations according to information directionality indicators.Information content in cortical spike trains during brain state transitions.Evaluating information transfer between auditory cortical neurons.Neuronal spike train entropy estimation by history clustering.Mutual information and redundancy in spontaneous communication between cortical neurons.Estimating information rates with confidence intervals in neural spike trains.Variance estimators for the Lempel-Ziv entropy rate estimator.
P2860
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P2860
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
description
2004 nî lūn-bûn
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2004年の論文
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2004年論文
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2004年論文
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2004年論文
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2004年論文
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2004年論文
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name
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
@en
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
@nl
type
label
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
@en
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
@nl
prefLabel
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
@en
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
@nl
P2860
P1433
P1476
Estimating the entropy rate of spike trains via Lempel-Ziv complexity.
@en
P2093
Elek Wajnryb
Janusz Szczepański
P2860
P304
P356
10.1162/089976604322860677
P577
2004-04-01T00:00:00Z