Yingjie Peng

Abstract Psychiatry seeks to unravel brain dysfunction and individual differences in real-world contexts. Naturalistic stimuli, like movie watching, are increasingly recognized for eliciting complex, context-dependent neural activity with high ecological validity. Yet, current methods often rely on standard paradigms that average data across time, limiting the full potential of such stimuli.

Abstract The hierarchical structure formation of our Universe inherently involves disruptive and chaotic episodes of mass assembly such as galaxy mergers. The level of bulk rotation of the collisionless stellar systems of galaxies reflects to what extent the galaxies, on the other hand, have assembled their stars during tranquil and ordered formation history, which fosters the growth of cohesively rotating structures.

Abstract Naturalistic stimuli elicit rich subjective experiences through adaptive neural coordination. However, how inherent behavioral traits shape individual neural dynamics in naturalistic settings remains unclear. Here, we introduce a computational framework, STIM, to systematically capture individual differences in brain dynamics while watching diverse movie stimuli.