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Record W3173679554 · doi:10.3389/frym.2021.706131

Distracted? Blame Your Claustrum!

2021· article· en· W3173679554 on OpenAlexaff
Yonatan Fatal, Ami Citri

Bibliographic record

VenueFrontiers for Young Minds · 2021
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsCanadian Institute for Advanced Research
Fundersnot available
KeywordsClaustrumPsychologySilenceBlameSightVariety (cybernetics)Cognitive psychologySocial psychologyNeuroscienceComputer scienceArtificial intelligenceAestheticsArt

Abstract

fetched live from OpenAlex

To succeed in reading these sentences, your brain must ignore a variety of distractions—sights, sounds, and smells. Resisting distractions is a vital ability for our daily lives, and it poses a unique challenge for people who are dealing with attention disorders. In a recent study, we asked whether an area in the brain called the claustrum supports the ability to ignore distractions. We developed methods that allowed us to silence the claustrum in mice. We challenged these mice with tasks requiring them to pay attention. We found that mice whose claustra were silenced were especially sensitive to distractions. These results provide an important clue about the function of the claustrum, and we hope that they will contribute to the development of new methods that will assist people dealing with attention disorders.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0220.013

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 head0.081
GPT teacher head0.311
Teacher spread0.230 · 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 designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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