Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Collective almost synchronization-based model to extract and predict features of EEG signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/collective-almost-synchronization-based-model-to-extract-and-predict-features-of-eeg-signals
MLA“Collective almost synchronization-based model to extract and predict features of EEG signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/collective-almost-synchronization-based-model-to-extract-and-predict-features-of-eeg-signals.
BibTeX@misc{4ortxyz_collective-almost-synchronization-based-model-to-extract-and-predict-features-of-eeg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Collective almost synchronization-based model to extract and predict features of EEG signals}}, year = {2026}, url = {https://4ort.xyz/entity/collective-almost-synchronization-based-model-to-extract-and-predict-features-of-eeg-signals}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Collective almost synchronization-based model to extract and predict features of EEG signals — https://4ort.xyz/entity/collective-almost-synchronization-based-model-to-extract-and-predict-features-of-eeg-signals (retrieved 2026-05-24)
