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Visual learning at fast and slow timescales is driven by distinct plasticity rules in primate inferotemporal cortex.

Overview

Authors: Krithika Mohan1,2, Ulises Pereira-Obilinovic3,4, Stanislav Srednyak5,6, Nicolas Brunel1,3,5,6,7, David J Freedman1,8
ORCID iDs: Krithika Mohan, David J Freedman
  1. Department of Neurobiology, The University of Chicago, Chicago, IL USA
  2. Department of Neuroscience, University of California, Berkeley, CA USA
  3. Department of Statistics, The University of Chicago, Chicago, IL USA
  4. Allen Institute for Neural Dynamics, Seattle, WA USA
  5. Department of Neurobiology, Duke University, Durham, NC USA
  6. Department of Physics, Duke University, Durham, NC USA
  7. Department of Computing Sciences, Bocconi University, Milan, Italy
  8. Neuroscience Institute, The University of Chicago, Chicago, IL USA
Institutions: University of Chicago (United States); University of California, Berkeley (United States); Allen Institute for Neural Dynamics (United States); Duke University (United States); Bocconi University (Italy)
Journal: Nature communications, volume 17, issue 1, article 8305
Dates: received 3 February 2025; accepted 12 June 2026; published online 4 July 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41467-026-74791-6 · PMID 42401574 · PMCID PMC13470491 · OpenAlex W7167360577
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: computational modeling (no new data) (modality), non-human primate (organism), cognitive (subfield)
Methods: Statistics, Machine learning, Spectral & time-frequency, fMRI & imaging, Single-unit activity, calcium imaging, Physiology & signal measures
Keywords: Learning algorithms, Long-term memory, Short-term memory, Network models
MeSH: Learning*, Neuronal Plasticity*, Temporal Lobe*, Visual Perception*, Animals, Macaca mulatta, Male, Neurons, Photic Stimulation, Recognition, Psychology, Time Factors (* major topic)
Topic: Neural dynamics and brain function (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: NIMH NIH HHS (R01 MH115555); NEI NIH HHS (R01 EY019041); U.S. Department of Health & Human Services | National Institutes of Health (NIH) (R01EY019041)
Citations: not cited yet (Europe PMC); 49 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Code availability statement

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  • it says that the code is available on request

Read it in the paper: doi.org/10.1038/s41467-026-74791-6.

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it points to a dataset: figshare 32328825
  • it says that the data are available on request

Read it in the paper: doi.org/10.1038/s41467-026-74791-6.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 4 keywords, 11 MeSH terms, 3 funders, 39 references.

Cite

This paper

Mohan, K., Pereira-Obilinovic, U., Srednyak, S., Brunel, N., & Freedman, D. J. (2026). Visual learning at fast and slow timescales is driven by distinct plasticity rules in primate inferotemporal cortex. Nature communications, 17(1), 8305. https://doi.org/10.1038/s41467-026-74791-6

BibTeX

@article{mohan2026visual,
author = {Mohan, Krithika and Pereira-Obilinovic, Ulises and Srednyak, Stanislav and Brunel, Nicolas and Freedman, David J},
title = {{Visual learning at fast and slow timescales is driven by distinct plasticity rules in primate inferotemporal cortex}},
journal = {Nature communications},
year = {2026},
month = jul,
volume = {17},
number = {1},
pages = {8305},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-74791-6},
url = {https://doi.org/10.1038/s41467-026-74791-6},
pmid = {42401574},
pmcid = {PMC13470491}
}

RIS

TY - JOUR
AU - Mohan, Krithika
AU - Pereira-Obilinovic, Ulises
AU - Srednyak, Stanislav
AU - Brunel, Nicolas
AU - Freedman, David J
TI - Visual learning at fast and slow timescales is driven by distinct plasticity rules in primate inferotemporal cortex
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/07/04
VL - 17
IS - 1
SP - 8305
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-74791-6
UR - https://doi.org/10.1038/s41467-026-74791-6
LA - en
ER -

CSL-JSON

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"ISSN": "2041-1723",
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"language": "en",
"issued": {
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