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Found 8 papers, 2 papers with code
Using Space-Filling Curves and Fractals to Reveal Spatial and Temporal Patterns in Neuroimaging Data
We compare the suitability of dimensionality reduction via Hilbert SFC and a data-driven alternative.
Multifractal organization of EEG signals in Multiple Sclerosis
Quantifying the complex/multifractal organization of the brain signals is crucial to fully understanding the brain processes and structure.
Investigating structural and functional aspects of the brain's criticality in stroke
This paper addresses the question of the brain's critical dynamics after an injury such as a stroke.
Task-dependent fractal patterns of information processing in working memory
We applied detrended fluctuation analysis, power spectral density, and eigenanalysis of detrended cross-correlations to investigate fMRI data representing a diurnal variation of working memory in four visual tasks: two verbal and two nonverbal.
Multiscale characteristics of the emerging global cryptocurrency market
Finally, an interesting observation on the Covid-19 pandemic impact on the cryptocurrency market is presented and discussed: recently we have witnessed a "phase transition" of the cryptocurrencies from being a hedge opportunity for the investors fleeing the traditional markets to become a part of the global market that is substantially coupled to the traditional financial instruments like the currencies, stocks, and commodities.
Complexity in economic and social systems: cryptocurrency market at around COVID-19
We show that, throughout the considered interval, the exchange rate returns were multifractal with intermittent signatures of bifractality that can be associated with the most volatile periods of the market dynamics like a bull market onset in April 2019 and the Covid-19 outburst in March 2020.
Universal features of mountain ridge networks on Earth
As our approach differs from typical analyses that are carried out in geophysics, we believe that it can initialize a research direction that will allow to shed more light on the processes that are responsible for landscape formation and will contribute to the network theory by indicating a need for the construction of new models of the network growth as no existing model can properly describe the ridge formation.
Quantifying origin and character of long-range correlations in narrative texts
Scaling of S(f) in the present context implies existence of the long-range correlations in texts and appearance of multifractality indicates that they carry even a nonlinear component.
