Long-range linear correlations and nonlinear chaos estimation differentially characterizes functional connectivity and organization of the Brain EEG

Research article (Procedia Computer Science, 2017) · cited 16× · AI/ML
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Long-range linear correlations and nonlinear chaos estimation differentially characterizes functional connectivity and organization of the Brain EEG

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Long-range linear correlations and nonlinear chaos estimation differentially characterizes functional connectivity and organization of the Brain EEG is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Long-range linear correlations and nonlinear chaos estimation differentially characterizes functional connectivity and organization of the Brain EEG. Retrieved May 24, 2026, from https://4ort.xyz/entity/long-range-linear-correlations-and-nonlinear-chaos-estimation-differentially-characterizes-functional-connectivity-and-o
MLA “Long-range linear correlations and nonlinear chaos estimation differentially characterizes functional connectivity and organization of the Brain EEG.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/long-range-linear-correlations-and-nonlinear-chaos-estimation-differentially-characterizes-functional-connectivity-and-o.
BibTeX @misc{4ortxyz_long-range-linear-correlations-and-nonlinear-chaos-estimation-differentially-characterizes-functional-connectivity-and-o_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Long-range linear correlations and nonlinear chaos estimation differentially characterizes functional connectivity and organization of the Brain EEG}}, year = {2026}, url = {https://4ort.xyz/entity/long-range-linear-correlations-and-nonlinear-chaos-estimation-differentially-characterizes-functional-connectivity-and-o}, note = {Accessed: 2026-05-24}}
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