Du-IN-v2: Unleashing the Power of Vector Quantization for Decoding Cognitive States from Intracranial Neural Signals
Hui Wen Zheng, Haiteng Wang, Wei-Bang Jiang, Zhongtao Chen, He Li, Pei-Yang Lin, Peng-Hu Wei, Guoguang Zhao, Yunzhe Liu
The paper introduces Du-IN-v2, a pre-training framework for speech decoding from intracranial neural signals, achieving state-of-the-art performance using region-level token embeddings and discrete codex-guided mask modeling.
bioRxiv · Oct 16, 2024 · PreprintBioengineering