Large-Scale Neural Dynamics as a Predictor of Stimulus Effects Variability
Bibliographic record
Abstract
was applied for the initial two rounds of four (tRNS-ON; tRNS-OFF).EEG data were collected before the first, between the second and third, and after the fourth round.The ratio of overwhelmed enemies (O) to the player's defeats (D) was calculated (O/D).The participants' shooting skills and cognitive abilities were evaluated before, after, and one week after the training (T0, T1, T2).Results.The Active-tRNS group showed significantly higher O/D performance compared to the Sham-tRNS group, particularly during tRNS-OFF rounds.Furthermore, at T2, the Active-tRNS group demonstrated superior performance in a long-range shooting task relative to the Sham-tRNS group.Both groups showed improved cognitive abilities at T1 and T2.In the stimulation site, a desynchronization of beta and gamma waves was observed after the second round, and a global enhancement of the delta band was noted after the fourth round in the Active-tRNS group.Conclusions.tRNS of the visuomotor network enhances the learning curve of VR-FPS training, with long lasting after-effects.Furthermore, tRNS induces changes in EEG patterns associated with motor learning and the reward system.These findings have potential applications for both training and treatment purposes.
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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 | 0.001 |
| 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) | 0.000 | 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".