Machine learning in fMRI

Machine learning in fMRI involves using advanced algorithms to analyze brain imaging data. It helps identify patterns and relationships in the activity of different brain regions by learning from large datasets. This enables scientists to classify mental states, diagnose disorders, or predict behavior based on fMRI scans. Essentially, machine learning acts as a sophisticated tool that automatically interprets complex brain signals, making it possible to understand and utilize brain activity information more effectively than traditional analysis methods.