Dynamical modeling, decoding, and control of multiscale brain network activity

This lecture by the instructor covers the development of dynamical models, decoders, and controllers for brain network activity, focusing on mood variations and neural dynamics. The presentation includes a discussion on multiscale modeling, system identification, and closed-loop control strategies. The lecture also delves into the challenges of nonlinear dynamical modeling and the importance of closed-loop neurotechnology for personalized therapy in neurological and neuropsychiatric disorders.