Author

Xuewen Shen

Peking UniversityORCID 0009-0003-0537-5397Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Bin MiniD· 2 shared Fangting LiiD· 1 shared Fangting LiiD· 1 shared Gouki OkazawaiD· 1 shared Jianfeng FengiD· 1 shared Liping WangiD· 1 shared Xingyu Li· 1 shared Yiteng Zhang· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersNeuroscience

Bin MinORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintApr 17, 2026

Discovering Novel Circuit Mechanisms in Higher Cognition through Factor-Centric Recurrent Neural Network Modeling

Yiteng Zhang, Xingyu Li, Xuewen Shen…·Bin Min

This paper introduces a factor-centric RNN framework to uncover interpretable circuit mechanisms in higher cognition, identifying novel mechanisms in working memory and decision-making.

DOI 10.64898/2026.04.16.718933

deep learningstatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintDec 10, 2024

A simple neural circuit model explains diverse types of integration kernels in perceptual decision-making

Xuewen Shen, Fangting Li, Bin Min

This paper introduces a simple rank-one neural network model that replicates diverse integration kernels in human decision-making tasks and offers insights into neural circuit dynamics.

DOI 10.1101/2024.12.10.627688

humanmachine learning (classical)

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