In one paragraphArticle 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors 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 itselfAbstract
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
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