FMRI Encoding

fMRI encoding aims to decipher the relationship between brain activity, as measured by fMRI, and external stimuli or cognitive states. Current research heavily utilizes large language models and diffusion models, often incorporating techniques like contrastive learning and self-supervised training to overcome challenges posed by low signal-to-noise ratios and limited data. This work is significant for advancing our understanding of brain function, particularly in areas like language processing and visual perception, and has potential applications in neurocognitive disorder diagnosis and brain-computer interfaces.