Inter-brain Synchronization in the Alpha Band during Minimal Tactile Interaction
Bibliographic record
Abstract
Abstract Recently the minimal requirements for inter-brain coupling have attracted attention. Moreover, researchers have found that brains can couple not only when individuals are in the same space, but also during technologically mediated interactions. Here we investigate whether inter-brain synchronization occurs when both conditions of spatial isolation and minimal interaction are satisfied. In particular, we use a real-time interaction paradigm, the Perceptual Crossing Experiment where individuals must locate their partners in a minimal virtual space using tactile stimuli alone. We report novel findings that contribute to our understanding of inter-brain synchronization and the minimal conditions of social interaction in virtual spaces : 1)inter-brain synchronization is present in the Alpha band during online minimal interaction, 2)five behavioral patterns and three inter-brain patterns can be found in the PCE and 3)different behavioral patterns in the interaction environment recruited different inter-brain networks such that frontal-fronto-central synchrony occurs when people are further apart in space, interacting with a multitude of objects. These findings have important implications for the understanding of social interaction processes, such that inter-brain coupling can occur even without extensive communication channels.
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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 | 0.002 |
| 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".