AI models advance decoding of brain signals into text and images

Brain-CLIPLM enables semantic compression for EEG-to-text decoding, while a VLM-assisted framework improves EEG-to-image reconstruction. A separate study benchmarks Llama 3.2 for fMRI-based language decoding.