Development and Validation of a Current-BasedEEG System
Bibliographic record
Abstract
Electroencephalography (EEG) measures electrical brain activity in a noninvasive manner. EEG mainly records electrical activity from radially oriented pyramidal cells in the cerebral cortex. However, EEG is less influenced by the tangentially oriented pyramidal cells. Magnetoencephalography (MEG) is influenced by the tangentially oriented pyramidal cells. However, MEG is not as widely available as EEG. Recent studies show that the combined used of EEG and MEG can improve the accuracy of source reconstruction, especially in neurological disorders (e.g. epilepsy). A current-based EEG system could allow us to record from the tangentially oriented pyramidal cells. The current work presents the development and validation of such a current-based EEG system. The system is adapted from a previously developed current-based electromyography (EMG) system. Characterization data and pilot EEG recordings in a human subject are presented. Further work will focus on miniaturizing the system to interface with the standard EEG cap, as well as developing a multichannel system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".