​​​​​Talk from  Tianming Liu, University of Georgia, Brain Imaging - ‪Computational Neuroscience

Short abstract:​​

The human brain is an intricate generative system that segregates, integrates, and executes diverse functions seamlessly. Unlocking and representing the brain’s structural and functional architectures hold fundamental significance for neuroscience, healthcare of brain diseases, and brain-inspired artificial intelligence (AI), particularly for next-generation foundation models (FMs). This talk will present our pursuits in discovering the brain’s organizational architectures, designing neural networks grounded in these discovered brain science principles, functionally coupling& human brains and FMs, and understanding brain diseases through these new methodologies. Given the rapid strides in FM technology, it is envisioned that alignment and supervision of forthcoming super-intelligent FM systems by digital human brain models learned from massive human neuroscience data will be of paramount importance to our society, and accordingly, a technical roadmap will be laid out to computationally represent the human brain’s functional and cognitive architecture and its temporally generative behaviors by a digital human brain, which will serve as the cornerstone for aligning and supervising future super-intelligent FM systems, as well as for individualized modeling and healthcare of human brain disorders.​​​​​