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Rapid concerted switching of the neural code in the inferotemporal cortex.

Overview

Authors: Yuelin Shi1,2, Dasheng Bi2, Janis K Hesse2, Frank F Lanfranchi1,2, Shi Chen2, Doris Y Tsao2,3
  1. Division of Biology and Biological Engineering, Caltech, Pasadena, CA USA
  2. Department of Molecular and Cell Biology and Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA USA
  3. Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA USA
Institutions: California Institute of Technology (United States); University of California, Berkeley (United States); Howard Hughes Medical Institute (United States)
Journal: Nature, volume 653, issue 8113, pages 146-155
Dates: received 13 December 2023; accepted 11 February 2026; published online 25 March 2026; in print 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41586-026-10267-3 · PMID 41882367 · PMCID PMC13148990 · OpenAlex W7140290986
Open access: hybrid, a free copy (OpenAlex)
Status: code on request (how the code is found and verified)
Categories: non-human primate (organism), systems (subfield)
Methods: Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging, Single-unit activity, calcium imaging, Physiology & signal measures
Keywords: Object vision, Neural encoding
MeSH: Macaca mulatta*, Neurons*, Temporal Lobe*, Animals, Discrimination, Psychological, Face, Facial Recognition, Female, Male, Models, Neurological, Photic Stimulation, Time Factors (* major topic)
Topic: Face Recognition and Perception (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: cited by 18 papers (Europe PMC); 65 references in the paper

Abstract

A fundamental paradigm in neuroscience is that neurons represent the world through fixed tuning functions, with stable mappings from stimulus features to firing rates1. Here, we report that tuning can instead shift rapidly and coherently across a neural population, enabling a dynamic transition from detecting a broad category to discriminating individual exemplars. We set out to address a longstanding debate in visual neuroscience about whether the inferotemporal cortex uses a specialized code for specific object categories or a general-purpose code that applies to all objects. We found that face-selective cells in macaque inferotemporal cortex initially adopted a general code optimized for face detection. However, after a rapid concerted population event lasting less than 20 ms, the neural code transformed into a face-specific one, with two striking features: response gradients to principal detection-related dimensions reversed direction, and new tuning emerged for multiple higher-dimensional features that support fine face discrimination. These dynamics in face patches were specific to face stimuli and did not occur in response to non-face objects. Thus, for faces, face cells transition from detection to discrimination by switching from an object-general code to a face-specific one. More broadly, our findings indicate that there is a previously unknown mechanism for neural representation: concerted stimulus-dependent switching of the neural code used by a cortical area.

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

All the code is available from the corresponding authors (Y.S. and D.Y.T.) upon reasonable request.

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

Tracing map

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Data

Datasets cited

Data availability

The data supporting the findings of this study are available from the corresponding authors (Y.S. and D.Y.T.) upon reasonable request.

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

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, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 6 authors, 2 keywords, 12 MeSH terms, 52 references.

Cite

This paper

Shi, Y., Bi, D., Hesse, J. K., Lanfranchi, F. F., Chen, S., & Tsao, D. Y. (2026). Rapid concerted switching of the neural code in the inferotemporal cortex. Nature, 653(8113), 146-155. https://doi.org/10.1038/s41586-026-10267-3

BibTeX

@article{shi2026rapid,
author = {Shi, Yuelin and Bi, Dasheng and Hesse, Janis K and Lanfranchi, Frank F and Chen, Shi and Tsao, Doris Y},
title = {{Rapid concerted switching of the neural code in the inferotemporal cortex}},
journal = {Nature},
year = {2026},
month = mar,
volume = {653},
number = {8113},
pages = {146--155},
publisher = {Nature Portfolio},
issn = {0028-0836},
doi = {10.1038/s41586-026-10267-3},
url = {https://doi.org/10.1038/s41586-026-10267-3},
pmid = {41882367},
pmcid = {PMC13148990}
}

RIS

TY - JOUR
AU - Shi, Yuelin
AU - Bi, Dasheng
AU - Hesse, Janis K
AU - Lanfranchi, Frank F
AU - Chen, Shi
AU - Tsao, Doris Y
TI - Rapid concerted switching of the neural code in the inferotemporal cortex
T2 - Nature
J2 - Nature
PY - 2026
DA - 2026/03/25
VL - 653
IS - 8113
SP - 146
EP - 155
SN - 0028-0836
PB - Nature Portfolio
DO - 10.1038/s41586-026-10267-3
UR - https://doi.org/10.1038/s41586-026-10267-3
LA - en
ER -

CSL-JSON

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