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Neurophysiological markers of identifying regret by 64 channels EEG signal
Research article (2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2015) · cited 12× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Neurophysiological markers of identifying regret by 64 channels EEG signal. Retrieved May 24, 2026, from https://4ort.xyz/entity/neurophysiological-markers-of-identifying-regret-by-64-channels-eeg-signal
MLA“Neurophysiological markers of identifying regret by 64 channels EEG signal.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neurophysiological-markers-of-identifying-regret-by-64-channels-eeg-signal.
BibTeX@misc{4ortxyz_neurophysiological-markers-of-identifying-regret-by-64-channels-eeg-signal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neurophysiological markers of identifying regret by 64 channels EEG signal}}, year = {2026}, url = {https://4ort.xyz/entity/neurophysiological-markers-of-identifying-regret-by-64-channels-eeg-signal}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Neurophysiological markers of identifying regret by 64 channels EEG signal — https://4ort.xyz/entity/neurophysiological-markers-of-identifying-regret-by-64-channels-eeg-signal (retrieved 2026-05-24)
