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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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EEG and Brain-Computer Interfaces
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,062 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,062 works in the cohort · of 4,299,418page 1 of 62

Labels cover 7 of 3,062 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,062 of 3,062 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Four ethical priorities for neurotechnologies and AI
Rafael Yuste, Sara Goering, Blaise Agüera y Arcas, Guo‐Qiang Bi, Jose M. Carmena, Adrian Carter +19 more
2017· article· en· Nature· Neuroscience
machine prediction:candidate · noneconsensus · none
610
citations
fundno affunlabeled
U-Sleep: resilient high-frequency sleep staging
Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jennum, Christian Igel
2021· article· en· npj Digital Medicine· Neuroscience
machine prediction:candidate · noneconsensus · none
332
citations
afffundno abstractunlabeled
A Comprehensive Survey of Brain Interface Technology Designs
S.G. Mason, Ali Bashashati, Mehrdad Fatourechi, Karla Félix Navarro, Gary E. Birch
2006· review· en· Annals of Biomedical Engineering· Neuroscience
machine prediction:candidate · noneconsensus · none
294
citations
afffundno abstractunlabeled
Rest-stimulus interaction in the brain: a review
Georg Northoff, Pengmin Qin, Takashi Nakao
2010· review· en· Trends in Neurosciences· Neuroscience
machine prediction:candidate · noneconsensus · none
252
citations
affunlabeled
Wireless EEG: A survey of systems and studies
Guiomar Niso, Elena Romero, Jeremy T. Moreau, Álvaro Araújo, Laurens R. Krol
2022· review· en· NeuroImage· Neuroscience
machine prediction:candidate · noneconsensus · none
248
citations
affunlabeled
Computer-assisted sleep staging
Rajeev Agarwal, Jean Gotman
2001· article· en· IEEE Transactions on Biomedical Engineering· Neuroscience
machine prediction:candidate · noneconsensus · none
219
citations

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