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Record W3160718012 · doi:10.31234/osf.io/6deq4

Fixation Induced Blindness

2020· preprint· en· W3160718012 on OpenAlexaff
Ahmad Yousef

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsStimulus (psychology)Receptive fieldFixation (population genetics)SaccadeEye movementVisual fieldPsychologyInvisibilityNeuroscienceIllusionVisual perceptionMicrosaccadeCommunicationCognitive psychologySaccadic maskingComputer sciencePerceptionArtificial intelligenceBiology

Abstract

fetched live from OpenAlex

This article reports how fixation could convey visual stimuli to the invisibility region whether the stimuli are presented centrally or peripherally regardless the textures of the background. It also reports the impossibility of conveying visual stimulus to the invisibility region when the stimulus is not fixated, namely, when the stimulus is in motion. We started in discussing how visual fixation could convey a centrally presented stimulus (pink horse) into the invisibility region under certain conditions, and why breaking the aforementioned invisibility by an intentional saccade away from the fixational point allows the stimulus to exert a ghostly horse but with complementary colours. Scientists had been hypothesizing that image aftereffect is caused by neural adaptation. In another word, the retinal photoreceptors & its corresponding neurological pathways to the visual awareness might be being idle, namely, the visual respective field might be idle. Idle visual receptive field seems to be the best explanation of the present illusion, namely, we see the light grayish background turned to greenish in the aforementioned desensitized receptive field. Important to mention, fixation greatly inhibits the spontaneous saccadic eye movements, and thus, it reduces the rooms of the receptive field remapping. Namely, every visual space will be possibly have unchangeable visual map in the brain. To arrest the aforementioned statements, we built a running stimulus to disallow the overlapping of the image and its aftereffect, and we found that the image cannot disappear. In another word, the visual awareness of the aforementioned stimulus would have ghostly & cloudy green balls in between the original materials (purple balls). The previously mentioned finding confirms the role of the spontaneous saccadic movement in promoting visibility & preventing the blindness, also see reference 1. We ended this research with asserting whether the claims against Emmert's law which raised doubts about the accurate compliance of the aforementioned law and size–distance invariance hypothesis. Weirdly enough, the claims are correct as if the image aftereffect projected against distant wall is following the dynamical visual angle but not the static one.

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)0.001
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 score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.002

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 head0.266
GPT teacher head0.393
Teacher spread0.126 · 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
Published2020
Admission routes1
Has abstractyes

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