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Electrophysiological Evidence for Attentional Decoupling during Mind-Wandering

2018· book· en· W2795888979 on OpenAlexaff
Julia W. Y. Kam, Todd C. Handy

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMind-wanderingPsychologyCognitionCognitive psychologyNeural correlates of consciousnessMechanism (biology)NeuroscienceCognitive scienceElectrophysiologyDecoupling (probability)ElectroencephalographyTask (project management)PhilosophyEpistemology

Abstract

fetched live from OpenAlex

The tendency to disengage from the immediate environment and to wander off to another time and place is a unique characteristic of the human mind. While much research has focused on the neural origins of such mind-wandering experience, less understood is the mechanism by which the mind facilitates task-unrelated thoughts. This chapter presents electrophysiological evidence demonstrating a widespread attenuation of numerous cognitive responses to external events during mind-wandering, suggesting that this transient modulation of the depth of the cognitive investment in external events may be one potential mechanism in which the mind facilitates these task-unrelated thoughts. The chapter also highlights the utility of resting-state and intracranial EEG as valuable methodology in illuminating the neural mechanisms underlying these internally directed mental experiences.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.901
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.113
GPT teacher head0.279
Teacher spread0.166 · 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.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations4
Published2018
Admission routes1
Has abstractyes

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