Mirroring avatars: dissociation of action and intention in human motor resonance
Bibliographic record
Abstract
Observation of others' actions induces a subliminal activation of motor pathways (motor resonance) that is mediated by the mirror neuron system and reflects the motor program encoding the observed action. Whether motor resonance represents the movements composing an action or also its motor intention remains of debate, as natural actions implicitly contain their motor intentions. Here, action and intention are dissociated using a natural and an impossible action with the same grasping intention: subjects observe an avatar grasping a ball using either a natural hand action ('palmar' finger flexion) or an impossible hand action ('dorsal' finger flexion). Motor-evoked potentials (MEPs), elicited by single transcranial magnetic stimulation of the hand area in the primary motor cortex, were used to measure the excitability modulation of motor pathways during observation of the two different hand actions. MEPs were recorded from the opponens pollicis (OP), abductor digiti minimi (ADM) and extensor carpi radialis (ECR) muscles. A significant MEP facilitation was found in the OP, during observation of the grasping phase of the natural action; MEPs in the ADM were facilitated during observation of the hand opening phase of the natural action and of both opening and grasping phases of the impossible action. MEPs in the ECR were not affected. As different resonant responses are elicited by the observation of the two different actions, despite their identical intention, we conclude that the mirror neuron system cannot utilize the observer's subliminal motor program in the primary motor cortex to encode action intentions.
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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 | 0.001 |
| 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".