Is the face-sensitive N170 the only ERP not affected by selective attention?
Why this work is in the frame
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Bibliographic record
Abstract
We assessed the effect of directed attention on early neurophysiological indices of face processing, measuring the N170 event-related potential (ERP). Twelve subjects were tested on two tasks each in which they attended either to eyes only or to faces with eyes closed, presented within series of facial and control stimuli. Consistent with the ERP literature, N170 was recorded to facial stimuli at posterior temporal electrodes and a concomitant positive peak at the vertex, with latencies around 150 ms for faces and 174 ms for eyes. However, unlike fMRI studies, neither the latency nor the amplitude of the peaks were sensitive to the target/non-target status of either the eyes or the face stimuli. This suggests that early stages of face processing indexed by N 170 are automatic and unmodified by selective attention.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.001 | 0.002 |
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 it