
Improved AI Decodes Brain Activity into Words with 11% Accuracy Gain
Researchers improved the Huth encoding-model baseline for fMRI neural language decoding, achieving an 11% relative METEOR gain by expanding voxel selection and using GPT-2 medium as the proposal model. This brings brain-computer interfaces closer to practical use for non-verbal communication.
