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Selective control of prefrontal neural timescales by parietal cortex.

Overview

Authors: Orhan Soyuhos1,2, Marc Zirnsak3, Rishidev Chaudhuri1,4,5, Xiaomo Chen1,4
  1. Center for Neuroscience, University of California, Davis, CA USA
  2. Department of Psychology, University of California, Davis, CA USA
  3. Department of Neurobiology, Howard Hughes Medical Institute, Stanford University, Stanford, CA USA
  4. Department of Neurobiology, Physiology and Behavior, University of California, Davis, CA USA
  5. Department of Mathematics, University of California, Davis, CA USA
Institutions: University of California, Davis (United States); Howard Hughes Medical Institute (United States); Stanford University (United States)
Journal: Nature communications, volume 17, issue 1, article 3687
Dates: received 8 May 2025; accepted 24 February 2026; published online 9 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41467-026-70326-1 · PMID 41803102 · PMCID PMC13100148 · OpenAlex W7134282216
Open access: gold, a free copy (OpenAlex)
Status: code found, not verified yet
Categories: non-human primate (organism), systems (subfield)
Methods: Connectivity, Statistics, Smoothing, state filtering, decompositions, Single-unit activity, calcium imaging, fMRI & imaging, Machine learning
Keywords: Visual system, Computational neuroscience, Neural circuits
MeSH: Neurons*, Parietal Lobe*, Prefrontal Cortex*, Animals, Attention, Macaca mulatta, Male, Photic Stimulation, Visual Perception (* major topic)
Topic: Visual perception and processing mechanisms (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: cited by 2 papers (Europe PMC); 64 references in the paper

Abstract

The frontal eye field (FEF) and posterior parietal cortex (PPC) are key hubs of the dorsal attention network, yet how parietal inputs shape prefrontal circuit temporal dynamics and attentional computations remains largely unknown. We measured intrinsic timescales of FEF neurons in male rhesus macaques and examined their changes during PPC inactivation. We observed two distinct classes of FEF neurons based on their intrinsic timescales: short-timescale neurons (~25 ms) and long-timescale neurons (~100 ms). Short-timescale neurons showed stronger transient visual responses, suggesting a role in rapid visual processing. In contrast, long-timescale neurons exhibited stronger sustained salience representation, suggesting a role in spatiotemporal integration to maintain stimulus-driven attention. During PPC inactivation, intrinsic timescales increased in both neuron types, with a substantially larger effect in short-timescale neurons. In addition, PPC inactivation selectively disrupted salience computation, particularly in long-timescale neurons. These findings provide causal evidence linking intrinsic local neural timescales to long-range inter-area communication and indicate the presence of at least two distinct network motifs that support different neuronal dynamics and functional computations within the FEF.

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

Code

No file of the authors' code could be read here: it is described below, and read at its source.

codeocean:0814945

License: none: the authors keep all their rights
State: cannot be verified, verified on 30 September 2026
Evidence: found in the paper
Software Heritage: not checked
Found in: “Code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 30 September 2026: cannot be verified
  • 30 September 2026: cannot be verified

Code availability

The analysis code used to perform all statistical analyses and generate all figures is publicly available via a Code Ocean capsule (https://codeocean.com/capsule/0814945). The capsule includes the code and the dataset needed to reproduce the analyses and figures (R v4.4.1; RStudio v2024.4.2.764).

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

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Data availability

The data generated in this study have been deposited in the Figshare database (10.6084/m9.figshare.28971866). Source data are provided with this paper.

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

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 3 keywords, 9 MeSH terms, 4 funders, 60 references.

Cite

This paper

Soyuhos, O., Zirnsak, M., Chaudhuri, R., & Chen, X. (2026). Selective control of prefrontal neural timescales by parietal cortex. Nature communications, 17(1), 3687. https://doi.org/10.1038/s41467-026-70326-1

BibTeX

@article{soyuhos2026selective,
author = {Soyuhos, Orhan and Zirnsak, Marc and Chaudhuri, Rishidev and Chen, Xiaomo},
title = {{Selective control of prefrontal neural timescales by parietal cortex}},
journal = {Nature communications},
year = {2026},
month = mar,
volume = {17},
number = {1},
pages = {3687},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-70326-1},
url = {https://doi.org/10.1038/s41467-026-70326-1},
pmid = {41803102},
pmcid = {PMC13100148}
}

RIS

TY - JOUR
AU - Soyuhos, Orhan
AU - Zirnsak, Marc
AU - Chaudhuri, Rishidev
AU - Chen, Xiaomo
TI - Selective control of prefrontal neural timescales by parietal cortex
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/03/09
VL - 17
IS - 1
SP - 3687
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-70326-1
UR - https://doi.org/10.1038/s41467-026-70326-1
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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