Evidence map›Paper›PMID 42816474›Full record

ArticleNature communications2026

Distributed cortical learning through LEC-mediated γ-synchrony.

Di Yun, Zheng Wang, Shenglin Zhao, Zhenjie Wang, Haoran Ma, Fei He, Junfeng Lu, Yuanning Li, Hong Xie, Ji-Song Guan

Abstract read
In one paragraph

Article in Nature communications, 2026. 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

10 authors.

Di Yun *School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Zheng Wang *School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Shenglin ZhaoSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China.
Zhenjie WangState Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Haoran MaShanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, China.
Fei HeState Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Junfeng LuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.ORCID 0000-0002-6091-5742
Yuanning LiState Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.ORCID 0000-0003-3277-0600
Hong XieInstitute of Photonic Chips, School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai, China. hongxie@usst.edu.cn.ORCID 0000-0002-9165-8515
Ji-Song GuanSchool of Life Science and Technology, ShanghaiTech University, Shanghai, China. guanjs@shanghaitech.edu.cn.ORCID 0000-0001-5219-0289

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32130043National Natural Science Foundation of China (National Science Foundation of China) 32225023National Natural Science Foundation of China (National Science Foundation of China) 32400853
6 · The paper itself

Abstract

Despite the well-established theoretical and experimental foundations of dopamine-driven reinforcement learning, how the reward prediction error (RPE) teaching signal modifies specific cortical memory networks remains unclear. Neural oscillations are crucial for the temporal binding of activities across distributed cell ensembles. Here, we identify that mouse lateral entorhinal cortex layer 5 (LEC

Indexed as

Entorhinal CortexGamma RhythmLearningAnimalsDopaminergic NeuronsHumansMaleMemoryMiceMice, Inbred C57BLReinforcement Machine LearningRewardVentral Tegmental Area

Identifiers

PMID42816474
PMCPMC13627088

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.