The spectral dynamics of EEG during target discrimination in the auditory and visual modalities
Bibliographic record
Abstract
Objective. The purpose of this thesis was to examine the spectral changes in the EEG during target discrimination in the auditory and visual modalities. Methods. The basic paradigms were a visual and auditory “oddball” task wherein the subjects detected an improbable (p = 0.2) target in a train of standards occurring at a rate of 1/s. Target discriminability and attention were manipulated. Results. The spectrograms for the targets showed increases in frontal theta activity, decreases in alpha and beta activity and a decrease in central gamma activity. The decrease in the alpha and beta activity showed a topography that suggested a posterior alpha desynchronization specific for the visual task and a central desynchronization for both auditory and visual targets. Conclusion. ERPs and EEG spectral dynamics react differently during target detection. The spectral dynamics relate more to perceptual or motor processing (target or stimulus) whereas the ERPs are more affected by target detection.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".