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Visual-Semantic Tuning across the Cortex Shifts between Tasks.

Overview

  1. Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720
  2. Department of Neuroscience, University of California, Berkeley, California 94720
Institutions: University of California, Berkeley (United States)
Journal: eNeuro, volume 13, issue 9, pages ENEURO.0183-26.2026
Dates: received 10 June 2026; accepted 4 August 2026; published online 8 September 2026; in print September 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1523/eneuro.0183-26.2026 · PMID 42642327 · PMCID PMC13583329 · OpenAlex W7130679676
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: fMRI (modality), human (organism)
Methods: Connectivity, Statistics, Machine learning, Preprocessing, fMRI & imaging, Physiology & signal measures
Keywords: fMRI, naturalistic tasks, tuning shift, visual semantics
MeSH: Attention*, Cerebral Cortex*, Semantics*, Visual Perception*, Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Photic Stimulation, Young Adult (* major topic)
Journal subjects: Research Article: New Research, Cognition and Behavior
Topic: Face Recognition and Perception (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: HHS | National Institutes of Health (NIH) (R01-EY031455); DOW | USN | Office of Naval Research (ONR) (N00014-20-1-2002, N00014-22-1-2217, N00014-14-1-0671); Ford University Research Program; NSF | National Science Foundation Graduate Research Fellowship Program (GRFP) (DGE 1106400)
Citations: not cited yet (Europe PMC); 56 references in the paper

Abstract

Attention is a powerful mechanism that dynamically optimizes brain representations to prioritize behaviorally relevant information. While previous studies focusing on single tasks have demonstrated that attention shifts tuning toward attended targets, real-world behavior often requires humans to switch between tasks with different demands. How does visual-semantic tuning in the human brain shift to support the behavioral demands of different naturalistic tasks? To investigate this question, we used voxelwise encoding models to explore how visual-semantic tuning across the human cerebral cortex shifts between two naturalistic human fMRI experiments that used distinct tasks, movie-watching (five male participants) and active navigation (six participants, three male, three female). Results show that visual-semantic tuning in the cortex differed substantially between experiments. Principal component analysis reveals that during navigation, tuning shifts increase the representation of vehicles and traffic signs compared with movie-watching and that these shifts are localized to distinct functional networks. These tuning shifts reconfigure the human brain’s representations of object categories based on their behavioral relevance. These findings suggest that visual-semantic tuning in the brain dynamically shifts toward task-relevant information across naturalistic tasks, optimizing functional representations to achieve diverse behavioral goals.

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

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

Code availability

Supporting code will be made available on GitHub upon publication.

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

Tracing map

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Data

No dataset and no data link were found in the paper.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 2 authors, 4 keywords, 12 MeSH terms, 4 funders, 54 references.

Cite

This paper

Zhang, T., & Gallant, J. L. (2026). Visual-Semantic Tuning across the Cortex Shifts between Tasks. eNeuro, 13(9), ENEURO.0183-26.2026. https://doi.org/10.1523/eneuro.0183-26.2026

BibTeX

@article{zhang2026visual,
author = {Zhang, Tianjiao and Gallant, Jack L.},
title = {{Visual-Semantic Tuning across the Cortex Shifts between Tasks}},
journal = {eNeuro},
year = {2026},
month = sep,
volume = {13},
number = {9},
pages = {ENEURO.0183--26.2026},
publisher = {Society for Neuroscience},
issn = {2373-2822},
doi = {10.1523/eneuro.0183-26.2026},
url = {https://doi.org/10.1523/eneuro.0183-26.2026},
pmid = {42642327},
pmcid = {PMC13583329}
}

RIS

TY - JOUR
AU - Zhang, Tianjiao
AU - Gallant, Jack L.
TI - Visual-Semantic Tuning across the Cortex Shifts between Tasks
T2 - eNeuro
J2 - eNeuro
PY - 2026
DA - 2026/09/11
VL - 13
IS - 9
SP - ENEURO.0183
EP - 26.2026
SN - 2373-2822
PB - Society for Neuroscience
DO - 10.1523/eneuro.0183-26.2026
UR - https://doi.org/10.1523/eneuro.0183-26.2026
LA - en
ER -

CSL-JSON

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