Correlation in brain is generally considered an evidence of physical connectivity of the neuron network. However, the way neuron clusters cooperate varies ...
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What is the Hurst parameter a measure of?
What are the parameters for EEG signal?
Feb 2, 2018 · Rescaled Range (R/S) analysis, which is the most common (Hurst, 1951), can effectively examine the temporal complexity of a time series. In ...
Jun 6, 2024 · We also explore evidence surrounding the maturation of activity patterns in the temporal domain via the resting Hurst exponent (HE), a measure ...
The following work is a review of the articles that use the Hurst exponent to analyze electroencephalogram signals.
Sep 16, 2024 · E/I ratio can be estimated from resting state functional magnetic resonance imaging (fMRI) using the Hurst Exponent (H). A recent study reported ...
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Sep 29, 2024 · Abstract. The maturation of inhibitory neurons is crucial for regulating plasticity in developing brains. Previous work using computational.
Oct 4, 2024 · Here, we took a cross-species approach to validating the Hurst exponent of fMRI as a marker of inhibition, then characterized the development of ...
[PDF] Can we Mathematically Correlate Brain Memory and Complexity?
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Hurst exponent that is the measure of randomness of signal, is used to quantify the memory concept of process. Hurst exponent can vary in the range of 0 to 1.
We also explore evidence surrounding the maturation of activity patterns in the temporal domain via the resting Hurst exponent (HE), a measure which captures ...
Jan 26, 2016 · Here, our goal is to de- velop a multivariate wavelet-based Hurst exponent estimator that accounts for spatial correlation. Our approach is ...