Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity

Research article (Frontiers in Physiology, 2018) · cited 17× · AI/ML
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Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity

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Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity. Retrieved May 24, 2026, from https://4ort.xyz/entity/surrogate-data-method-requires-end-matched-segmentation-of-electroencephalographic-signals-to-estimate-non-linearity
MLA “Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/surrogate-data-method-requires-end-matched-segmentation-of-electroencephalographic-signals-to-estimate-non-linearity.
BibTeX @misc{4ortxyz_surrogate-data-method-requires-end-matched-segmentation-of-electroencephalographic-signals-to-estimate-non-linearity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity}}, year = {2026}, url = {https://4ort.xyz/entity/surrogate-data-method-requires-end-matched-segmentation-of-electroencephalographic-signals-to-estimate-non-linearity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Surrogate Data Method Requires End-Matched Segmentation of Electroencephalographic Signals to Estimate Non-linearity — https://4ort.xyz/entity/surrogate-data-method-requires-end-matched-segmentation-of-electroencephalographic-signals-to-estimate-non-linearity (retrieved 2026-05-24)

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