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Record W3162046106 · doi:10.31234/osf.io/8dzkp

Two Distinct Human Medial Temporal Complexes

2020· preprint· en· W3162046106 on OpenAlexaff
Ahmad Yousef

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsStimulus (psychology)RetinaNeurosciencePeripheralComputer sciencePhysicsPsychologyCognitive psychology

Abstract

fetched live from OpenAlex

We had previously discussed that hMT+ should have two distinct regions, one is connected to the central retina, and another is connected to the retinal peripheries; and both of these distinct regions generate different perceived speed. Namely, in the central region, the stimulus appears to move much slower, see references 1 & 2; in the peripheral region however, it appears to move faster and even with reversed direction, see reference 4. This article, however, provides evidence that repeated symmetric patterns are perceived to move much slower than repeated asymmetric patterns (RAP); additionally, asymmetric but not symmetric patterns tends to generate illusory motion reversals. Evidences which conclude that symmetric, but not asymmetric patterns are preferred to be processed by the central retina; an additional characteristic that adds further distinction between the central and the peripheral hMT+ regions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.204
GPT teacher head0.406
Teacher spread0.201 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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