Reconstructing the brain’s language network from non-invasive EEG enables interpretable speech decoding

Nan Yan, zhao shuzhi, Yunchao Min, Jianwu Dang, Changsong Zhou, Lan Wang

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DOI: 10.21203/rs.3.rs-10426644/v1
Published: 2026-08-18
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Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-10426644/v1,
  title = {Reconstructing the brain’s language network from non-invasive EEG enables interpretable speech decoding},
  author = {Nan Yan and zhao shuzhi and Yunchao Min and Jianwu Dang and Changsong Zhou and Lan Wang},
  year = {2026},
  doi = {10.21203/rs.3.rs-10426644/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10426644/v1}
}

RIS

TY  - JOUR
TI  - Reconstructing the brain’s language network from non-invasive EEG enables interpretable speech decoding
AU  - Nan Yan
AU  - zhao shuzhi
AU  - Yunchao Min
AU  - Jianwu Dang
AU  - Changsong Zhou
AU  - Lan Wang
PY  - 2026
DO  - 10.21203/rs.3.rs-10426644/v1
UR  - https://doi.org/10.21203/rs.3.rs-10426644/v1
ER  -

APA

Yan, N., shuzhi, Z., Min, Y., Dang, J., Zhou, C., & Wang, L. (2026). Reconstructing the brain’s language network from non-invasive EEG enables interpretable speech decoding. https://doi.org/10.21203/rs.3.rs-10426644/v1

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crossref · retrieved 2026-09-25T21:27:10.245Z