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Distributed burst firing mediates optimized cortical encoding of natural self-motion.

Overview

  1. Department of Physiology, McGill University, Montreal, Canada
  2. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
  3. Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
  4. Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
  5. Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, USA
Institutions: McGill University (Canada); Johns Hopkins University (United States); Johns Hopkins Medicine (United States)
Journal: Science advances, volume 12, issue 32, article eaee8327
Dates: received 16 December 2025; accepted 29 June 2026; published online 7 August 2026; in print August 2026
Type: Research article · Language: English
License: CC BY-NC
Identifiers: DOI 10.1126/sciadv.aee8327 · PMID 42566537 · PMCID PMC13450226 · OpenAlex W7201838605
Open access: gold, a free copy (OpenAlex)
Status: code verified (how the code is found and verified)
Categories: cognitive (subfield)
Methods: Spectral & time-frequency, Connectivity, Machine learning, Statistics, fMRI & imaging, Single-unit activity, calcium imaging, Physiology & signal measures
MeSH: Action Potentials*, Motion Perception*, Neurons*, Vestibule, Labyrinth*, Animals, Motion (* major topic)
Topic: Vestibular and auditory disorders (Neurology, Neuroscience), according to OpenAlex
Citations: cited by 1 paper (Europe PMC); 93 references in the paper

Abstract

Accurate perception of self-motion requires that vestibular input be transformed into neural representations suitable for integrating multisensory cues to guide action. Here, we demonstrate that vestibular cortical neurons represent the self-motion stimuli encountered during everyday activities in a fundamentally different manner than the artificial self-motion stimuli typically used. Using stimuli whose waveforms reproduce the head dynamics encountered in natural behavior, we found that neural activity no longer tracked stimulus velocity through graded firing-rate changes, as observed during artificial sinusoidal stimulation, but instead reliably encoded distinct motion features through burst firing. At the population level, these bursts formed a distributed code that enhanced information transmission by reducing redundancy. This transformation emerged only during natural stimulation and was absent in the vestibular thalamus. Together, our results demonstrate that the vestibular cortex constructs a distributed, feature-based representation of natural self-motion, fundamentally reshaping our understanding of how cortical circuits encode vestibular signals to mediate perception.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Code

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borealisdata.ca/privateurl.xhtml

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State: the link answers, verified on 27 September 2026
Evidence: the link answers
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Found in: “Data, code, and materials availability:”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

The paper's code and data availability statement is in the Data section.

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Data

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Data, code, and materials availability

All data and code needed to evaluate and reproduce the results in the paper are either present in the paper and/or the Supplementary Materials or are available from the Borealis database (https://borealisdata.ca/privateurl.xhtml?token=37880b0e-d761-4ab3-8ca7-b1371119bfce). This study did not generate new materials.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

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Version 3, 28 September 2026

  • Funding: added Canadian Institutes of Health Research: PJT-203699

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 6 MeSH terms, 88 references.

Cite

This paper

Carriot, J., Mackrous, I., Cullen, K. E., & Chacron, M. J. (2026). Distributed burst firing mediates optimized cortical encoding of natural self-motion. Science advances, 12(32), eaee8327. https://doi.org/10.1126/sciadv.aee8327

BibTeX

@article{carriot2026distributed,
author = {Carriot, Jerome and Mackrous, Isabelle and Cullen, Kathleen E and Chacron, Maurice J},
title = {{Distributed burst firing mediates optimized cortical encoding of natural self-motion}},
journal = {Science advances},
year = {2026},
month = aug,
volume = {12},
number = {32},
pages = {eaee8327},
publisher = {American Association for the Advancement of Science},
issn = {2375-2548},
doi = {10.1126/sciadv.aee8327},
url = {https://doi.org/10.1126/sciadv.aee8327},
pmid = {42566537},
pmcid = {PMC13450226}
}

RIS

TY - JOUR
AU - Carriot, Jerome
AU - Mackrous, Isabelle
AU - Cullen, Kathleen E
AU - Chacron, Maurice J
TI - Distributed burst firing mediates optimized cortical encoding of natural self-motion
T2 - Science advances
J2 - Sci Adv
PY - 2026
DA - 2026/08/07
VL - 12
IS - 32
SP - eaee8327
SN - 2375-2548
PB - American Association for the Advancement of Science
DO - 10.1126/sciadv.aee8327
UR - https://doi.org/10.1126/sciadv.aee8327
LA - en
ER -

CSL-JSON

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