Juggling with rubber hands, leaping with rubber feet: Sensorimotor reuse during verb comprehension
Bibliographic record
Abstract
Theories of embodied and grounded cognition suggest that the reuse of sensorimotor information supports word comprehension. In the current study, we induced body ownership illusions of the hands and feet (and related control conditions) while participants categorized verbs related to the hands and feet. Using representational similarity analysis (RSA) we demonstrate that sensorimotor information is decodable during verb categorization at around 600 ms in control conditions and around 400 ms for hand related verbs specifically. Further, the pattern of sensorimotor activity elicited during verb categorization is altered when participants experience body ownership illusions; decoding is earlier when sensorimotor information was pre-activated with illusions. Overall, our results suggest that preactivating sensorimotor information alters the neural dynamics supporting verb comprehension, providing evidence for a neurocognitive process that reuses sensorimotor information. These results contribute to the development of models for embodied and grounded cognition and provide insight into the dynamics of neural reuse.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".