Emotions are often assumed to manifest in subcortical limbic and brainstem structures. While these areas are clearly important for representing affect (e.g., valence and arousal), we propose that the default mode network (DMN) is additionally important for constructing discrete emotional experiences (of anger, fear, disgust, etc.). Findings from neuroimaging studies, invasive electrical stimulation studies, and […]

Abstract Generalization is a fundamental problem solved by every cognitive system in essentially every domain. Although it is known that how people generalize varies in complex ways depending on the context or domain, it is an open question how people learn the appropriate way to generalize for a new context. To understand this capability, we […]

Polarization is one of the biggest societal challenges of our time, yet its drivers are poorly understood. Here we propose a novel approach – computational political psychology – which uses behavioral tasks in combination with formal computational models to identify candidate cognitive processes underpinning susceptibility to polarized beliefs about political and societal issues. Read Full […]