Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG

Neuroscientists propose using non-invasive fMRI data to enhance ECoG encoding models, addressing data limitations. Language representations fine-tuned on fMRI significantly improved ECoG prediction, even with fMRI's lower temporal resolution.