The role of development in locally-oriented visual perception: an investigation spatial contrast sensitivity in Autism Spectrum Disorder
Bibliographic record
Abstract
Autism Spectrum Disorder is characterized by a unique, visual perceptual profile that is best defined by an often- superior ability to process non-social, or elementary, visual information when a local processing strategy is advantageous (Mottron et al. 2006, Behrmann 2006). Several studies suggest that locally-biased perception in ASD may originate at early stages of visual processing, reflected by an increased sensitivity to high-spatial frequency information (Keita, Guy et al. (in review), de Jonge et al. 2007, Jemel et al. 2010). The bulk of these studies, however, have been conducted in adults and older adolescents, neglecting the role of development. It is therefore unclear if locally-oriented perception in ASD emerges early in development and moreover, when exactly it manifests from childhood through to adulthood. The aim of the present study was therefore to examine the development of low-level visuo-spatial perception in ASD in school-aged children and adolescents. Spatial resolution was assessed across three different age groups (i.e. 6-9, 10-12 and 13-15 years), using luminance-defined, sinusoidal gratings defined by different spatial frequencies (0.5, 1, 2, 4, 8 & 16 cycles per degree). Detection thresholds were derived using a two-alternative temporal forced choice paradigm. Contrast sensitivity functions were then defined for each age group. Preliminary analyses failed to reveal a significant group difference in sensitivity. Only expected differences in sensitivity for SF condition and age group emerged. Our current findings indicate that group differences in sensitivity might only be apparent in late adolescence and early adulthood. These results warrant further exploration of the role of experience-dependent modification of neural mechanisms mediating the response properties of early visual processing in ASD. Meeting abstract presented at VSS 2014
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 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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".