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Record W3157726787 · doi:10.24908/iqurcp.7602

12. The Role of the Human Prefrontal Cortex in the Response Suppression of Eye Movements

2017· article· en· W3157726787 on OpenAlexvenueno aff
Jason L. Chan

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2017
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsSaccadeEye movementStimulus (psychology)NeurosciencePsychologyPrefrontal cortexAntisaccade taskPopulationElectrophysiologyFixation pointCognitive psychologyCognitionComputer scienceMedicineArtificial intelligence

Abstract

fetched live from OpenAlex

Increased activity in a population of prefrontal cortex neurons has been shown, in previous studies, to precede correct anti‐saccades in primates. In addition, the time courses of two competing processes in these neurons, task selection (which prepares for an eye movement) and saccade suppression (which prepares for the suppression of an eye movement), intersect at a specific time after the presentation of a coloured instruction cue. The purpose of this study is to use eye tracking behaviour to investigate this intersection point and its role in response suppression in regard to the generation of anti‐saccades in humans. Subjects were instructed before a stimulus appears, using a colour cue, to either look towards the stimulus (pro‐saccade) or away from the stimulus (anti‐saccade). Instruction period times varied from 100ms to 1400ms, in 50ms steps. Based on previous primate electrophysiological data, the ratio of direction errors (pro‐saccades on anti‐saccade trials) to correct anti‐saccades was expected to increase around 400ms to 500ms, when the processes of task selection and saccade suppression diverge. A slight ratio increase was found and full results are forthcoming.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.168
GPT teacher head0.429
Teacher spread0.261 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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