2025
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
ICML 2025poster
Decoding functional magnetic resonance imaging (fMRI) signals into text has been a key challenge in the neuroscience community, with the potential to advance brain-computer interfaces and uncover deeper insights into brain mechanisms. However, existing approaches often struggle with suboptimal predi…