2023
DOI: 10.1038/s41598-023-37219-5
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Neural complexity through a nonextensive statistical–mechanical approach of human electroencephalograms

Abstract: The brain is a complex system whose understanding enables potentially deeper approaches to mental phenomena. Dynamics of wide classes of complex systems have been satisfactorily described within q-statistics, a current generalization of Boltzmann-Gibbs (BG) statistics. Here, we study human electroencephalograms of typical human adults (EEG), very specifically their inter-occurrence times across an arbitrarily chosen threshold of the signal (observed, for instance, at the midparietal location in scalp). The dis… Show more

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Cited by 3 publications
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