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Record W4412459338 · doi:10.1167/jov.25.9.2014

Could spatial scrambling limit letter acuity in amblyopia? Insights from examining letter mistake patterns

2025· article· en· W4412459338 on OpenAlexaff
X. Zhu, Robert F. Hess, Alex S. Baldwin

Bibliographic record

VenueJournal of Vision · 2025
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsMcGill University
Fundersnot available
KeywordsScramblingMistakeLimit (mathematics)OptometryComputer scienceMedicineMathematicsAlgorithmLawMathematical analysisPolitical science

Abstract

fetched live from OpenAlex

Behavioural research in amblyopia has shown evidence of a “spatial scrambling”. These effects would be consistent with a topographical disorganization affecting neural projections in the visual system. We investigated where in the processing hierarchy this scrambling might occur, and how it might contribute to the letter acuity deficit that is used clinically to characterize the severity of amblyopia. We constructed our stimuli using a physiologically-inspired algorithm. We consider two possible sites for scrambling to occur, either affecting: i) the outputs of log-Gabor filters (which mimic the oriented simple cell receptive field in V1), or ii) the inputs from isotropic subunits (i.e. LGN afferents) that form those oriented receptive fields. We refer to these image space manipulations as cortical and subcortical scrambling (CS and SCS), respectively. These distortions differ from typical additive noise such as bandpass noise, which we also tested for the purpose of comparison. The experiment involved a monocular task where the participant identified one of four possible noisy letters (bandpass and centered at 3 cycles/letter). Their sizes were rendered at half of the eye’s acuity limit, obtained through a separate monocular letter acuity experiment. We hypothesized that amblyopic participants should exhibit different patterns of mistakes (obtained from confusion matrices) based on viewing condition as a result of spatial scrambling for amblyopic eye viewing. In total 18 amblyopic (13 strabismic, 5 anisometropic) participated in this study. We found moderate correlations between the ratio of interocular acuity difference and our metric of the mistake pattern divergence in the two eyes when stimuli were affected by scrambling noise (SCS: r=0.65, P=0.0038; CS: r=0.47, P=0.047) but not for letters shown in bandpass noise (P=0.35). These results suggest neural scrambling, as early as the monocular inputs to the cortex, may play an important role in limiting letter acuity in amblyopia.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.271
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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