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Dynamic filtering improves attentional state prediction with fNIRS

Research article (Biomedical Optics Express, 2016) · cited 10× · AI/ML
academia openalex:W2283179916
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Dynamic filtering improves attentional state prediction with fNIRS

Summary

Dynamic filtering improves attentional state prediction with fNIRS is a scholarly article[1].

Key Facts

  • Dynamic filtering improves attentional state prediction with fNIRS's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Dynamic filtering improves attentional state prediction with fNIRS. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-filtering-improves-attentional-state-prediction-with-fnirs
MLA “Dynamic filtering improves attentional state prediction with fNIRS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-filtering-improves-attentional-state-prediction-with-fnirs.
BibTeX @misc{4ortxyz_dynamic-filtering-improves-attentional-state-prediction-with-fnirs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic filtering improves attentional state prediction with fNIRS}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-filtering-improves-attentional-state-prediction-with-fnirs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic filtering improves attentional state prediction with fNIRS — https://4ort.xyz/entity/dynamic-filtering-improves-attentional-state-prediction-with-fnirs (retrieved 2026-05-24)

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