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For α = 0, both measures are in line with intuitive ideas about measures of interdependency described in Sect.
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This paper proposes a measure of interdependency between the uncertain system outputs.
However, available knowledge about the brain is insufficient to determine the 'best' measure of interdependency.
In this article, we investigate the PLI as a measure of interdependency of CSSs recorded in the EEG.
In this article, we address the aforementioned issues in order to investigate the PLI as a measure of interdependency of cortical source signals (CSSs) via the EEG.
In conclusion, the results suggest that the mean of the PLI as well as that of the CM can be fairly used as a measure of interdependency between CSSs when the amount of crosstalk α is small.
The value of ^G [ l] computed for a fixed frequency bin or integrated (averaged) across several neighboring bins is typically used as a measure of interdependency associated with the corresponding frequency band (Nunez et al. 1997; Ansari-Asl et al. 2006).
Our use of SNA revealed that frequency of communication as a measure of interdependencies between ED clinicians varies by day/night shift and over time.
No rigorous comparison of the PLI with other (classical) measures of the interdependency such as those based on the correlation function or on the coherence function has yet been reported.
Count covariance and measures derived from it, such as the Pearson correlation coefficient, are computationally inexpensive and widely used as measures of statistical interdependencies [8].
Spike count cross correlations and correlation coefficient measurements in pairs of neurons are ubiquitous in neuroscience and are often used to measure the strength of interdependencies in a pair of neurons, e.g. in cortical neurons [18, 19, 22], in model neurons [23] and in theoretical and experimental studies of net correlations emerging in recurrent networks [23 28].
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