Evidence map›Paper›PMID 42127102›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

A hemispheric decoding principle for vestibular heading perception in the posterior sylvian area.

Yue Xu, Yong Gu

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. A hemispheric decoding principle for vestibular heading perception in the posterior sylvian area.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yue XuChinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Key laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Neuroscience, International Center for Primate Brain Research, Chinese Academy of Sciences, Shanghai 200031, China.ORCID 0009-0003-5797-1705
Yong GuChinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology, Key laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Neuroscience, International Center for Primate Brain Research, Chinese Academy of Sciences, Shanghai 200031, China.ORCID 0000-0003-4437-8956

Funding

Lingang laboratory LGL5925-08MOST | Innovation 2030 Major Program China 2022ZD0205000Shanghai Municipal Science and Technology Major Project 2019SHZDZX02
6 · The paper itself

Abstract

Identifying functional links between neural activity and behavioral perception is a fundamental neuroscience issue for inferring causality and means of information-decoding. Using perturbation methods, numerous studies have provided direct evidence showing that sensory information in many systems (e.g., vision) is causally read out for subjects' perceptual choice with respect to the manipulated neurons' preferred feature (labeled-line code). Here we report an alternative decoding principle in the visual posterior sylvian area (VPS). Specifically, VPS neurons in each hemisphere encode heading information symmetrically in terms of leftward vs. rightward preference in the earth-horizontal plane based on inertial or visual motion cues. In a heading discrimination task, correlation between neural activity and perceptual choice on a trial-by-trial basis (choice probability) was also significantly dependent on the neurons' tuning functions. However, electrical microstimulation in VPS significantly biased macaques' heading judgments toward the ipsilateral hemisphere, irrespective of the artificially-stimulated neurons' encoded heading preference. This effect was observed exclusively in the vestibular but not visual condition, and in VPS but not neighboring areas. The microstimulation induced perceptual bias could be complemented by chemical inactivation manipulations. A noninvasive galvanic vestibular stimulation applied at the peripheral inner ear organs produced similar bias in the subjects' behavioral performance, as well as activation in the central VPS. Our findings reveal a hemispheric-readout algorithm that predominates over the labeled-line code in the central vestibular system, which may constrain the way of information integration across sensory modalities.

Indexed as

Motion PerceptionVestibule, LabyrinthAnimalsMacaca mulattaMaleNeuronsVisual Perceptionheadingmacaquemicrostimulationvestibularvisual

Identifiers

PMID42127102
PMCPMC13187708

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.