The Emotional Content of Faces Interferes with Inhibitory Processing: An Event Related Potential Study
Bibliographic record
Abstract
Emotional stimuli interfere with other kinds of stimuli processing because they capture attentional resources inaccordance with their adaptive importance. This suggests that it would be more difficult to inhibit emotionalfaces than neutral ones or objects. The present study evaluates the effects of facial emotional expressions oninhibitory processing using event-related brain potentials in a Go/NoGo paradigm. Event-related potentials wereobtained in healthy subjects during emotional inhibition tasks involving anger and happiness, compared tonon-emotional tasks based on simple objects and gender. Emotional tasks exhibited poorer performance thannon-emotional ones. P3 latencies were longer during response inhibition to emotional faces than those obtainedwhile inhibiting non-emotional stimuli. This study provides evidence that facial emotional content interfereswith response inhibition since it may elicit additional neural resource demands.
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How this classification was reachedexpand
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".