SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval

ArXi:2603.17109v1 Announce Type: new Decoding brain activity into natural language is a major challenge in AI with important applications in assistive communication, neurotechnology, and human-computer interaction. Most existing Brain-Computer Interface (BCI) approaches rely on memory-intensive fine-tuning of Large Language Models (LLMs) or encoder-decoder models on raw EEG signals, resulting in expensive