This federal Project Grant award from the National Institute on Drug Abuse (NIDA), under the Drug Use and Addiction Research Programs (CFDA 93.279), aims to develop a computational-experimental framework for characterizing the complex dynamics of naturalistic social interaction and connecting them across neural and behavioral scales. The $330,027 award to Michigan State University will utilize simultaneously recorded behavioral and electrophysiology data from ferrets during naturalistic interaction to construct multiscale models that link spiking neuronal dynamics, brain oscillations, body movements, and macroscopic behavioral states. This research project integrates perspectives from cognitive social neuroscience, nonlinear dynamics, computational topology, and machine learning to provide tools for examining multiscale brain-behavior relationships in real-world settings. The findings are expected to significantly impact the design of state-dependent treatments for neuropsychiatric and behavioral disorders, combining pharmacological, brain stimulation, and psychosocial interventions.