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Record W2902818600 · doi:10.18192/osurj.v1i1.3684

The effect of context on sensory accumulation involved in decision-making

2018· article· en· W2902818600 on OpenAlexaffvenue
Léa Caya-Bissonnette

Bibliographic record

VenueUniversity of Ottawa Science Undergraduate Research Journal · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSensory systemNeuroscienceStimulus (psychology)Context (archaeology)Computer scienceCognitive psychologyPsychologyCognitive scienceBiology

Abstract

fetched live from OpenAlex

The underlying processes allowing for decision-making has been a question of interest for many neuroscientists. The lateral intraparietal cortex, or LIP, was shown to accumulate context and sensory information to compute a decision variable. The following review will present the work of Kumano, Suda and Uka who studied the link between context and sensory information during decision-making. To do so, a monkey was trained to associate the color of a fixating dot to one of two tasks. The tasks consisted in either indicating the motion or the depth of themajority of the dots on a screen. The local field potential of the LIP neurons was recorded, and the researchers found a role of context during the stimulus presentation in regards to decision formation. The results have important implication for mental disorders involving malfunction in decision processes.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
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 score0.199
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.199
GPT teacher head0.451
Teacher spread0.252 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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