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Journal Article

Long-range temporal correlations in neural narrowband time-series arise due to critical dynamics

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Nikulin,  Vadim V.
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Centre for Cognition and Decision Making, National Research University Higher School of Economics, Moscow, Russia;

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Blythe_Nikulin_2017.pdf
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Citation

Blythe, D. A. J., & Nikulin, V. V. (2017). Long-range temporal correlations in neural narrowband time-series arise due to critical dynamics. PLoS One, 12(5): e0175628. doi:10.1371/journal.pone.0175628.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002D-2941-B
Abstract
We show theoretically that the hypothesis of criticality as a theory of long-range fluctuation in the human brain may be distinguished from the theory of passive filtering on the basis of macroscopic neuronal signals such as the electroencephalogram, using novel theory of narrowband amplitude time-series at criticality. Our theory predicts the division of critical activity into meta-universality classes. As a consequence our analysis shows that experimental electroencephalography data favours the hypothesis of criticality in the human brain.