AI RESEARCH
Taming Epilepsy: Mean Field Control of Whole-Brain Dynamics
arXiv CS.LG
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ArXi:2603.18035v1 Announce Type: new Controlling the high-dimensional neural dynamics during epileptic seizures remains a significant challenge due to the nonlinear characteristics and complex connectivity of the brain. In this paper, we propose a novel framework, namely Graph-Regularized Koopman Mean-Field Game (GK-MFG), which integrates Reservoir Computing (RC) for Koopman operator approximation with Alternating Population and Agent Control Network (APAC-Net) for solving distributional control problems.