Language exposure predicts infants’ neural processing of others’ actions based on language group
Bibliographic record
Abstract
What language a person speaks has been shown to divide even infants' worlds. However, open questions remain about what neural processes are involved in the differentiation of native and foreign speakers in the infant's brain. This study used electroencephalography (EEG) to examine the neural responses related to top-down attention (frontal theta synchronization), action processing (mu desynchronization), and approach-avoidance (frontal alpha asymmetry) of 8- to 12-month-old infants as they observed a native (English) speaker and a foreign (French) speaker perform a goal-directed action (i.e., grasping objects). We further examined whether infants' language exposure modulated these neural responses. We found that monolingual infants exhibited stronger mu desynchronization when observing a native (versus foreign) speaker perform goal-directed actions. In contrast, non-monolingual (i.e., hearing more than one language) infants did not show a difference in mu desynchronization between native and foreign speakers. No language group and exposure effects were found for frontal theta and frontal alpha symmetry. These results suggest that infants' emerging differentiation of native and foreign speakers is also manifested in their neural processing of goal-directed actions and that this neural action processing is shaped by early exposure to different languages.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".