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Record W1978436698 · doi:10.1080/02699931.2013.793654

Emotion-specific modulation of early visual perception

2013· article· en· W1978436698 on OpenAlexaff
Jeffrey R. Nicol, Steven Perrotta, Sabina Caliciuri, Mark P. Wachowiak

Bibliographic record

VenueCognition & Emotion · 2013
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsNipissing University
Fundersnot available
KeywordsDisgustPsychologyPerceptionFacial expressionSpatial frequencyCognitive psychologyVisual perceptionAmygdalaAudiologyCommunicationNeuroscienceSocial psychologyAnger

Abstract

fetched live from OpenAlex

Exposure to fearful facial expressions enhances vision at low spatial-frequencies and impairs vision at high spatial-frequencies. This perceptual trade-off is thought to be a consequence of a fear-related activation of the magnocellular visual pathway to the amygdala. In this study we examined the generality of the effect of emotion on low-level visual perception by assessing participants' orientation sensitivity to low and high spatial-frequency targets following exposure to disgust, fear, and neutral facial expressions. The results revealed that exposure to fear and disgust expressions have opposing effects on early vision: fearful expressions enhanced low spatial-frequency vision and impaired high spatial-frequency vision, while disgust expressions, like neutral expressions, impaired low spatial-frequency vision and enhanced high spatial-frequency vision. Thus we show the effect of exposure to fear on visual perception is not a general emotional effect, but rather one that may that depend on amygdala activation, or one that may be specific to fear.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.006

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 head0.058
GPT teacher head0.287
Teacher spread0.229 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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

Citations19
Published2013
Admission routes1
Has abstractyes

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