Memories of Hand Movements are Tied to Speech Through Learning
Bibliographic record
Abstract
Hand movements frequently occur with speech. The extent to which the memories that guide co-speech hand movements are tied to the speech they occur with is unclear. Here, we paired the acquisition of a new hand movement with speech. Thirty participants adapted a ballistic hand movement of a joystick to a visuomotor rotation either in isolation or while producing a word in time with their movements. Within participants, the after-effect of adaptation (i.e., the motor memory) was examined with or without co-incident speech. After-effects were greater for hand movements produced in the context in which adaptation occurred—i.e., with or without speech. In a second experiment, thirty new participants adapted a hand movement while saying the words “tap” or “hit”. After-effects were greater when hand movements occurred with the specific word produced during adaptation. The results demonstrate that memories of co-speech hand movements are partially tied to the speech they are learned with. The findings have implications for theories of sensorimotor control and our understanding of the relationship between gestures, speech, and meaning.
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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 | 0.001 | 0.007 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".