Sensorimotor and Motorsensory Interactions in Speech
Bibliographic record
Abstract
A long-standing issue in psycholinguistics is whether language production and language comprehension share a common neural substrate. Recent neuroimaging studies of speech appear to support overlap of brain regions for both production and perception. However, what is not known is how to interpret the perceptual activation of motor regions. In the following, the brain regions associated with producing heard speech are described to identify the sensorimotor components of the speech motor network. The brain regions associated with speech production are then examined for their activation during passive perception of lexical items presented as heard words, pictures and printed text. A number of overlapping cortical and subcortical areas were activated during both perception and production. Interestingly, all brain areas associated with passive perception increased their activation for speech production. The increased activation in the classical sensory/perceptual areas for production suggests an interactive process in which motor areas project back to sensory/perceptual areas reflecting a binding of perception (sensory) and production (motor) regions within the network. 1
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".