Evidence map›Paper›PMID 42271064›Full record

ArticleNature2026

A thalamus-brainstem attractor network drives history-biased decisions.

Shan Zhao, Heying Shan, Xiao Liu, Yu Qian, Jingyao Huang, Yi-Ran Liu, Zhenfei Jiao, Lichen Ye, Lin Cong, Xiaoou Wang and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 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

18 authors.

Shan Zhao *Institute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-6470-2250
Heying Shan *Institute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0009-7653-5435
Xiao Liu *School of Psychological and Cognitive Sciences, McGovern Institute for Brain Research, Center of Quantative Biology, PKU-Tsingua Center of Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-2855-7367
Yu QianInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-1587-9025
Jingyao HuangInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0000-6634-0129
Yi-Ran LiuInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0006-1809-318X
Zhenfei JiaoWuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
Lichen YeInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Lin CongInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Xiaoou WangInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0009-0007-4721-9965
Zhi-Yuan WangInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Danyang LiInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Ming-Quan ChenInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0001-5964-9398
Kai WangInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0001-7858-944X
Ling FuSchool of Biomedical Engineering, State Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, Hainan University, Haikou, China.ORCID http://orcid.org/0000-0003-2513-1405
Xu-Fei DuInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0002-4599-0074
Si WuSchool of Psychological and Cognitive Sciences, McGovern Institute for Brain Research, Center of Quantative Biology, PKU-Tsingua Center of Life Sciences, Peking University, Beijing, China. siwu@pku.edu.cn.ORCID http://orcid.org/0000-0001-9650-6935
Yu MuInstitute of Neuroscience, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China. my@ion.ac.cn.ORCID http://orcid.org/0000-0001-9297-4854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural environments often change gradually, making it adaptive to bias decisions on the basis of the recent past - a phenomenon known as serial dependence

Indexed as

Brain StemDecision MakingNerve NetThalamusZebrafishAnimalsComputer SimulationCuesFemaleMaleMemoryModels, NeurologicalNeural PathwaysOptogeneticsRhombencephalon

Identifiers

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.