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Record W2169045420 · doi:10.1093/cercor/12.9.991

Eye Position Signals Modulate Early Dorsal and Ventral Visual Areas

2002· article· en· W2169045420 on OpenAlexafffund
Joseph F. X. DeSouza

Bibliographic record

VenueCerebral Cortex · 2002
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsEye movementComputer visionPosition (finance)Orientation (vector space)SulcusArtificial intelligencePsychologyNeuroscienceVisual systemVisual cortexCommunicationComputer scienceMathematics

Abstract

fetched live from OpenAlex

An internal sense of eye position is necessary to maintain the constancy of the visual world in spite of movements of the eyes. Neuroimaging studies have localized human homologs of monkey visual motion processing areas in MT/MST and also in the collateral sulcus (V4), an area that codes features within objects. We show that these two areas have a baseline fMRI signal that is modulated by eye position and that the preferred direction of the eye position signal is different in the two areas; increasing for ipsiversive eye positions in MT/MST and increasing for contraversive eye positions within the collateral sulcus. This baseline modulation is a true eye position signal; one that is present in the absence of visual motion stimuli. The difference in the preferred direction of the eye position signal may reflect the different transformations in these two areas; a transformation from a retinotopic (eye-centered) to an egocentric coordinate frame necessary for guiding action and to an object-centered frame for object recognition.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.038
GPT teacher head0.294
Teacher spread0.255 · 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

Citations55
Published2002
Admission routes2
Has abstractyes

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