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Record W4281657460 · doi:10.1101/2022.05.25.493447

The locus coeruleus directs sensory-motor reflex amplitude across environmental contexts

2022· preprint· en· W4281657460 on OpenAlexfundno aff
Emily C. Witts, Miranda A. Mathews, Andrew Murray

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsnot available
FundersDalhousie UniversityUniversity College LondonWellcome Trust
KeywordsLocus coeruleusBrainstemNeuroscienceSensory systemReflexForebrainMotor behaviorVestibular systemMotor systemNucleusPsychologyPhysicsCentral nervous system

Abstract

fetched live from OpenAlex

Abstract Animals possess a remarkable ability to quickly and accurately respond to challenges to their balance and posture. Postural corrections are the implementation of a motor act by the nervous system that counteracts a perturbation and returns the body to a stable state. These corrections must respect both the current position of the limbs and trunk, as well as the external environment. However, how motor circuits integrate multiple streams of information regarding both these internal and external factors, and adjust motor actions accordingly, are poorly understood. Here we show that the lateral vestibular nucleus in the brainstem generates motor corrections following perturbation, and that this reflex can be altered by manipulating the surrounding environment. The strength of the motor correction is influenced by noradrenergic signalling from the locus coeruleus, suggesting a potential link between forebrain structures which convey sensory information about the environment, and brainstem circuits that generate motor corrections.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.285
Teacher spread0.258 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicNeurobiology and Insect Physiology Research→French-language works237,207→