Author

Xiao Liu

Peking UniversityORCID 0000-0002-2855-7367Unclaimed ORCID profile · follow to get notified of new preprints

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Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:Drosophila· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Si WuiD· 3 shared Chaoming WangiD· 1 shared Haoran ZhangiD· 1 shared Jianghong HeiD· 1 shared Jiedong Jiang· 1 shared Junfeng Zuo· 1 shared Long XuiD· 1 shared Mingqing XiaoiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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3 shared papersNeuroscience

Si WuORCID

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3 papers

Recent·Most cited

BrainScale: Enabling Scalable Online Learning in Spiking Neural Networks

Chaoming Wang, Xingsi Dong, Zilong Ji, Mingqing Xiao, Jiedong Jiang, X. Liu, Yuxiang Huan, Si Wu

The paper introduces BrainScale, a system for scalable online learning in spiking neural networks, demonstrating its ability to train large-scale brain models with low memory and high efficiency.

Nature Communications · Jan 19, 2026Peer-reviewedNeuroscience

A unified central thalamus mechanism underlying diverse recoveries in disorders of consciousness

Haoran Zhang, Qianqian Ge, Xiao Liu, Yuanyuan Dang, Long Xu, Yutong Zhuang, Si Wu, Steven Laureys, Jianghong He, Shan Yu

The paper identifies a unified central thalamus mechanism that explains diverse recovery outcomes in disorders of consciousness using electrophysiological data and machine learning.

bioRxiv · Nov 4, 2024 · PreprintNeuroscience

A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation

Junfeng Zuo, Xiao Liu, Ying Nian Wu, Si Wu, Wenhao Zhang

This paper proposes a neural circuit model that generates temporally scalable sequences through Lie group principles, showing consistency with experimental data.

neural information processing systems · Jan 1, 2023Peer-reviewedNeuroscience