19 citations · 26 across the 3 of their papers we have counts for
3 papers
eess.SP2024★ 7 cited
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals
Wei-Bang Jiang, Yansen Wang, Bao-Liang Lu +1
Recent advancements for large-scale pre-training with neural signals such as electroencephalogram (EEG) have shown promising results, significantly boosting the development of brai…
cs.LG2024★ 19 cited
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Wei-Bang Jiang, Li-Ming Zhao, Bao-Liang Lu
The current electroencephalogram (EEG) based deep learning models are typically designed for specific datasets and applications in brain-computer interaction (BCI), limiting the sc…
eess.SP2024
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
Hui Zheng, Hai-Teng Wang, Wei-Bang Jiang +6
Invasive brain-computer interfaces with Electrocorticography (ECoG) have shown promise for high-performance speech decoding in medical applications, but less damaging methods like…