3 citations · 3 across the 4 of their papers we have counts for
4 papers
Beyond Parallel Tracking: Interactive Multi-Feature Fusion Drives Semantic Reconstruction from Non-invasive Brain Recordings
Boda Xiao, Xiran Xu, Songyi Li +4
Continuous semantic reconstruction from non-invasive neural recordings remains limited by the representational mismatch between semantic feature spaces and neural coding patterns,…
Bypassing Direct Reconstruction: Speech Detection from MEG via Large-Scale Audio Retrieval
Boda Xiao, Bo Wang, Heping Cheng
Decoding speech from non-invasive brain signals is challenging. For the LibriBrain 2025 Speech Detection task, we propose a novel two-step framework that bypasses direct reconstruc…
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals
Xiran Xu, Bo Wang, Boda Xiao +4
Researchers have reported high decoding accuracy (>95%) using non-invasive Electroencephalogram (EEG) signals for brain-computer interface (BCI) decoding tasks like image decoding,…
Semantic reconstruction of continuous language from MEG signals
Bo Wang, Xiran Xu, Longxiang Zhang +3
Decoding language from neural signals holds considerable theoretical and practical importance. Previous research has indicated the feasibility of decoding text or speech from invas…