Cortical Hierarchy

Cortical hierarchy research investigates the layered organization of the brain's cortex and how information processing flows across these layers. Current research focuses on understanding this hierarchy through computational modeling, using architectures like convolutional neural networks and graph convolutional networks, and comparing their activity patterns to brain imaging data (e.g., fMRI) during tasks like language processing and music perception. These studies aim to reveal the principles governing information processing in the brain, potentially leading to improved artificial intelligence and a deeper understanding of neurological disorders.