Object representations in the dorsal pathway are subject to a protracted and susceptible developmental trajectory.
Bibliographic record
Abstract
The dorsal visual pathway extends from the occipital lobe to the parietal lobe and generates object representations that promote different visual functions, including visually guided actions, shape recognition and spatial processing. In my talk, I will address two outstanding questions. First, how do dorsal pathway representations emerge throughout development? Second, how does the emergence of these representations modulate perception, action and the dissociation between these functions? To tackle these questions, we conducted a series of behavioral and neuroimaging investigations with typically developed children alongside individuals with neurodevelopmental disorders that affect their early visual experience (i.e., amblyopia) or cortical organization (i.e., cortical resections, ASD). Across the different studies, we find evidence that object representations in the dorsal pathway are not matured even in school-age children. Additionally, we show that visuomotor behaviors, associated with computations carried out by the dorsal pathway, are more susceptible to atypical development than perceptual behaviors. This greater susceptibility was also evident in terms of a reduced functional dissociation between perception and action in children with neurodevelopmental conditions. To conclude, our findings suggest that object representations derived by the dorsal pathway are subject to protracted development. This longer maturation rate might account for the susceptibility of these representations, and their associated behaviors, to neurodevelopmental disorders.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".