Cortical Contributions to Medial Frontal β-Bursts during Executive Control
Bibliographic record
Abstract
ABSTRACT EEG β-bursts observed over the medial frontal cortex are claimed to mediate response inhibition despite their infrequent occurrence. The weak association with stopping behavior is supposed to be a by-product of the low signal-to-noise ratio of EEG recordings. We tested the premise that β-bursts are more common within the cerebral cortex and more directly associated with response inhibition. We sampled simultaneously EEG and intracortical local field potentials (LFP) within the medial frontal cortex (MFC) of two macaque monkeys performing a response inhibition task. Intracortical β-bursts were just as infrequent as those in EEG and did not parallel the likelihood of canceling a planned response. Cortical β-bursts were more prevalent in upper layers but were not synchronized across a cortical column or with EEG β-bursts. These findings contradict claims for a causal contribution of β-bursts during response inhibition, provide important constraints for biophysical and cortical circuit models, and invite further considerations of β-burst function in cognitive control.
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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) | 0.001 | 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".