Evidence map›Paper›PMID 41372158›Full record

ArticleNature communications2025

Enhanced neural plasticity in monkey TE compared to TEO during learning of a feature-ambiguous visual categorization task.

Wenliang Wang, Bing Li, Narihisa Matsumoto, Kariely Martinez Gomez, Kazuko Hayashi, Yasuko Sugase-Miyamoto, Richard C Saunders, Barry J Richmond, Mark A G Eldridge

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Wenliang Wang *Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-3894-2357
Bing Li *Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-8668-8210
Narihisa Matsumoto *Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Kariely Martinez GomezLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Kazuko HayashiHuman Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.
Yasuko Sugase-MiyamotoHuman Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.ORCID http://orcid.org/0000-0003-3097-3789
Richard C SaundersLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Barry J RichmondLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. barryrichmond@mail.nih.gov.ORCID http://orcid.org/0000-0002-8234-1540
Mark A G EldridgeLaboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. mark.eldridge@newcastle.ac.uk.ORCID http://orcid.org/0000-0003-4292-6832

Funding

Neural Coding Of Visual StimuliZIAMH002032 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RICHMOND, BARRY J · 2009 to 2025
$20.5M
Intramural NIH HHS ZIA MH002032
6 · The paper itself

Abstract

Primates can rapidly categorize images by visual feature similarity. We previously showed that inferior temporal cortex (IT) subregions TEO and TE contribute to visual categorization to differing extents. To investigate the neural plasticity underlying visual categorization, we recorded simultaneously from both areas while two male monkeys learned a visual categorization task. Category specificity and generalization are initially stronger in TEO than in TE but increase with learning only in the TE neuronal population, whose neural representations correlate with behavioral performance. TE and TEO can contribute complementary, partially independent category information. However, TEO does not add learning-relevant variance across days. TE exhibits greater categorical enhancement for correct than error trials compared with TEO. Single-neuron analyses revealed that TE category selectivity strengthens with learning, primarily through enhanced encoding of one category. Combined with lesion evidence, our results suggest that TE plasticity likely plays a more fundamental role in supporting visual category learning.

Indexed as

LearningNeuronal PlasticityTemporal LobeVisual PerceptionAnimalsMacaca mulattaMaleNeuronsPhotic Stimulation

Identifiers

PMID41372158
PMCPMC12727691

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.