A Whole-Cortex Encoding Model of Vision, Audition, and Language for In-Silico Neuroscience [R]

Explain Like I'm Normal

Researchers have released Cajal-1, a model trained on fMRI data from 2,000 people to predict neural activity across the entire human cortex. It can simulate how a brain would react to any video, podcast, or image with high accuracy without needing a physical MRI scanner. This 'in-silico' neuroscience approach allows for massive-scale testing of how human biology processes information.