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Signal Processing by Vestibular Nuclei Neurons Is Dependent on the Current Behavioral Goal

2001· article· en· W2027318792 on OpenAlexafffund
Kathleen E. Cullen, Jefferson E. Roy, Pierre A. Sylvestre

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2001
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsVestibular systemGazeNeuroscienceVestibular nucleiVestibulo–ocular reflexBrainstemReflexSensory systemHead (geology)Smooth pursuitPsychologyEye movementBiology

Abstract

fetched live from OpenAlex

The vestibular sensory apparatus and associated vestibular nuclei are generally thought to encode angular head velocity during our daily activities. However, in addition to direct inputs from vestibular afferents, the vestibular nuclei receive substantial projections from cortical, cerebellar, and other brainstem structures. Given this diversity of inputs, the question arises: How are the responses of vestibular nuclei neurons to head velocity modified by these additional inputs during naturally occurring behaviors? Here we have focused on the signal processing done by two specific classes of neurons in the vestibular nuclei: (1) position-vestibular-pause (PVP) neurons that mediate the vestibulo-ocular reflex (VOR), and (2) vestibular-only (VO) neurons that are thought to mediate, at least in part, the vestibulo-collic reflex (VCR). We first characterized neuronal responses to passive rotation in the head-restrained condition, and then released the head to record the discharges of the same neurons during self-generated head movements. VOR interneurons (i.e., PVP neurons) faithfully transmitted head velocity signals when the animal stabilized its gaze, regardless of whether the head motion was actively or passively generated; their responses were attenuated only when the monkey's behavioral goal was to redirect its axis of gaze relative to space. In contrast, VCR interneurons (i.e., VO neurons) faithfully transmitted head velocity signals during passive head motion, but their responses were greatly (and similarly) attenuated during all behaviors (i.e., gaze shifts, gaze pursuit, gaze stabilization) during which the monkey's behavioral goal was to move its head relative to the body. To characterize the mechanism(s) that underlie this differential processing, we tested neurons during passive rotation of the head relative to the body, as well as during a task in which a monkey actively "drove" both its head and body together in space. We conclude that neither passive activation of neck proprioceptors nor knowledge of self-generated head-in-space motion directly mediate the observed reductions in head-velocity-related modulation. Instead, we propose that the VOR and VCR pathways use efference copies of oculomotor and neck movement commands, respectively, for the differential processing of vestibular information.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.128
GPT teacher head0.360
Teacher spread0.232 · 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 designObservational
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

Citations20
Published2001
Admission routes2
Has abstractyes

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