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Record W4412363739 · doi:10.1016/j.actpsy.2025.105269

Involuntary mental imagery is influenced by visual salience

2025· article· en· W4412363739 on OpenAlexaff
Alexander J. Cook, Dennis M. Lambert, Mark W. Geisler, Ezequiel Morsella

Bibliographic record

VenueActa Psychologica · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSalience (neuroscience)Mental imagePsychologyCognitive psychologySalientCognitionHomogeneousSet (abstract data type)PerceptionTask (project management)Artificial intelligenceComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

The attention bottleneck theory suggests that object recognition is limited to one item at a time. A default attentional set may guide attention to unique items when no specific goal is present. The Reflexive Imagery Task (RIT) examines involuntary mental imagery by asking participants not to think of the name of a centrally presented object. Surprisingly, mental imagery occurs on many trials. This study investigates whether similar effects happen when multiple objects appear near the periphery of vision. RIT effects were observed for these objects, with the names of salient singletons reported more often. Imagery is reported more for objects with a heterogeneous feature than homogeneous ones. However, a unique object defined by two features did not yield the same effect. When the task is to ignore all objects, salient objects are more likely to receive initial cognitive processing. These findings contribute to understanding involuntary mental imagery and attentional capture.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

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

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 head0.076
GPT teacher head0.414
Teacher spread0.338 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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