Mapping Brain Dynamics and Trajectories with Geometric and Topological Machine Learning

Explore cutting-edge techniques in brain mapping through this 47-minute seminar presented by Prof. Smita Krishnaswamy from Yale University. Delve into the application of geometric and topological machine learning methods for understanding brain dynamics and trajectories. Learn how these advanced computational approaches are revolutionizing our ability to analyze and interpret complex neurological data. Gain insights into the latest developments in neuroscience research and their potential impact on our understanding of brain function and disorders. Discover the innovative work being conducted at the Athinoula A. Martinos Center for Biomedical Imaging and the broader implications for the field of biomedical imaging.

BrainMap: Mapping brain dynamics and trajectories with geometric and topological machine learning