Author

Xiangdong Bu

Shanghai Jiao Tong University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:rat· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Hongru JiangiD· 3 shared Xiaochuan PaniD· 2 shared Yao CheniD· 2 shared Antong Liu· 1 shared Chen YaoiD· 1 shared Huajin TangiD· 1 shared Xiaohong SuiiD· 1 shared Xingyu Ji· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersNeuroscience

Hongru JiangORCID

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3 papers

Recent·Most cited

Preserved Embedding of Neural Population Activity for Brain Computer Interfaces

Hongru Jiang, Zhe Liu, Xiangdong Bu, Antong Liu, Xingyu Ji, Chen Yao

The paper introduces MANDT, a method that extracts consistent embeddings of motor cortical dynamics to improve BCI decoding across sessions and tasks, validated on rhesus monkey data.

bioRxiv · Feb 9, 2026 · PreprintNeuroscience

Spike Neural Network of Motor Cortex Model for Arm Reaching Control

Hongru Jiang, Xiangdong Bu, Xiaohong Sui, Huajin Tang, Xiaochuan Pan, Yao Chen

The paper proposes a recurrent spike neural network to model motor cortical activity during arm reaching, showing good agreement with monkey data at single-cell and population levels.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · Jul 15, 2024Peer-reviewedNeuroscience

Internal Dynamics Interact with Proprioceptive Feedback During Movement Execution in an RNN Model of Motor Cortex

Hongru Jiang, Xiangdong Bu, Zhiyan Zheng, Xiaochuan Pan, Yao Chen

This study uses an RNN model of motor cortex to show that internal dynamics and proprioceptive feedback interact during movement execution, with feedback controlling movement termination and improving robustness.

bioRxiv · Dec 5, 2023 · PreprintNeuroscience