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Peer-reviewedCC BY-NC-NDNpj biomedical innovations

Generalizable neural decoding for clinically scalable brain-computer interfaces.

  • Yuanjie Gu1,2
  • Haotian Yin1
  • Yiqun Wang1,3
  • Yan-Qi-Vivian Woon1
  • Yujie Wang1
  • Mengge Teng1
  • Chengze Lu1
  • Zhi Lu2
  • Jie Chen4,5,6
6 affiliations
  1. 1College of Biomedical Engineering, Fudan University, Shanghai, China.
  2. 2Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.
  3. 3Shanghai Innovation Institute, Shanghai, China.
  4. 4College of Biomedical Engineering, Fudan University, Shanghai, China. [email protected].
  5. 5Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. [email protected].
  6. 6Jiashan Fudan Institute, Jiaxing, China. [email protected].
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Abstract

Brain-computer interfaces promise restored communication and movement, yet accuracy achieved under development rarely survives new sessions, users, tasks, or hardware. Generalization, not peak performance, determines clinical scalability. Here we examine generalizable neural decoding from development to deployment, organized by the domain held out at evaluation, target-data access, adaptation strategy, and the clinical conditions under which performance persists, identifying benchmarking standards, prospective validation, and hardware-algorithm co-design as prerequisites for durable benefit.

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Cite

BibTeXRIS
BibTeX
@article{gu2026generalizable,
  title = {{Generalizable neural decoding for clinically scalable brain-computer interfaces.}},
  author = {Yuanjie Gu and Haotian Yin and Yiqun Wang and Yan-Qi-Vivian Woon and Yujie Wang and Mengge Teng and Chengze Lu and Zhi Lu and Jie Chen},
  journal = {Npj biomedical innovations},
  year = {2026},
  month = oct,
  doi = {10.1038/s44385-026-00119-0},
  url = {https://europepmc.org/article/MED/42919847},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Generalizable neural decoding for clinically scalable brain-computer interfaces.
AU  - Yuanjie Gu
AU  - Haotian Yin
AU  - Yiqun Wang
AU  - Yan-Qi-Vivian Woon
AU  - Yujie Wang
AU  - Mengge Teng
AU  - Chengze Lu
AU  - Zhi Lu
AU  - Jie Chen
PY  - 2026
DA  - 2026/10/23
JO  - Npj biomedical innovations
DO  - 10.1038/s44385-026-00119-0
UR  - https://europepmc.org/article/MED/42919847
AB  - Brain-computer interfaces promise restored communication and movement, yet accuracy achieved under development rarely survives new sessions, users, tasks, or hardware. Generalization, not peak performance, determines clinical scalability. Here we examine generalizable neural decoding from development to deployment, organized by the domain held out at evaluation, target-data access, adaptation strategy, and the clinical conditions under which performance persists, identifying benchmarking standards, prospective validation, and hardware-algorithm co-design as prerequisites for durable benefit.
SN  - 3005-1444
ER  -