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Record W2097849376 · doi:10.1037/a0037383

Linear age-correlated development of inhibitory saccadic trajectory deviations.

2014· article· en· W2097849376 on OpenAlexaff
Greg L. West, Sandrine Mendizabal, Marie-Pierre Carrière, Sarah Lippé

Bibliographic record

VenueDevelopmental Psychology · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologySaccadic maskingSaccadeStimulus (psychology)Developmental psychologyAudiologyNeuroscienceEye movementCognitive psychologyMedicine

Abstract

fetched live from OpenAlex

The present study examined development-related differences in saccade curvature during a goal-directed saccade task in the presence of distracting visual information. Participants were individuals who ranged in age from 6 to 30 years. Consistent with previous findings, all participants showed curvature toward the distractor stimulus at shorter saccadic reaction times (SRTs). Chronological age, however, was positively related to participants' ability to inhibit distracting information as revealed by curvature away from the distractor stimulus at longer SRTs. Interestingly, no significant differences in saccadic reaction times were observed. Results are discussed in the context of similar findings comparing older and younger adults and the putative frontal neural mechanisms that contribute to the observed developmental effect. Our present results suggest that saccadic curvature can be used a tool to measure fontal-oculomotor control interaction across the life span and can be further used to examine inhibitory functioning in special pediatric populations (e.g., having brain trauma, attention-deficit/hyperactivity disorder, frontal epilepsy).

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.140
GPT teacher head0.374
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2014
Admission routes1
Has abstractyes

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