Author

Shuncheng Jia

Chinese Academy of SciencesORCID 0000-0002-5165-9652Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:mouse· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Bo XuiD· 1 shared Chonghe Hao· 1 shared Jian ZhangiD· 1 shared Mu‐ming PooiD· 1 shared Shuxin Zeng· 1 shared Tielin ZhangiD· 1 shared W SongiD· 1 shared Wangzi YaoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Bo XuORCID

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1 paper

Recent·Most cited

Incorporation of single-neuron projectome-based connectivity motifs enhances the cortex-specific performance of artificial neural networks

Yue Sun, Wangzi Yao, Jian Zhang, W Song, Xuanle Zhao, Chonghe Hao, X S Chen, Shuxin Zeng, Shuncheng Jia, Yi Yang, Xiong Xiao, Mu‐ming Poo, Yangang Sun, Bo Xu, Tielin Zhang

This paper develops a connectome-informed neural network algorithm that improves RNN and LLM performance by incorporating natural cortical connectivity motifs.

bioRxiv · Jun 17, 2026 · PreprintNeuroscience