UMind: A unified multitask network for zero-shot M/EEG visual decoding.
- DOI
- 10.1016/j.neunet.2026.109314
- Published
- 2027 Jan
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109314,
title = {UMind: A unified multitask network for zero-shot M/EEG visual decoding.},
author = {Xu C and Song Y and Liao Z and Zhang H and Wang Q and Zheng Q},
year = {2027},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109314},
url = {https://doi.org/10.1016/j.neunet.2026.109314}
}RIS
TY - JOUR TI - UMind: A unified multitask network for zero-shot M/EEG visual decoding. AU - Xu C AU - Song Y AU - Liao Z AU - Zhang H AU - Wang Q AU - Zheng Q PY - 2027 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109314 UR - https://doi.org/10.1016/j.neunet.2026.109314 ER -
APA
C, X., Y, S., Z, L., H, Z., Q, W., & Q, Z. (2027). UMind: A unified multitask network for zero-shot M/EEG visual decoding.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109314
Source records
- pubmed · retrieved 2026-09-26T08:55:10.531Z