Learning the value of stimuli and actions from others—social learning—adaptively
contributes to individual survival and plays a key role in cultural evolution. We review …

Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …

Background Physiological noise is one of the major confounds for fMRI. A common class of
correction methods model noise from peripheral measures, such as ECGs or pneumatic …

Social interactions are essential for mammalian life and are regulated by evolutionary
conserved neuronal mechanisms. An individual's internal state, experiences, and the nature …

Research in clinical neuroscience is founded on the idea that a better understanding of
brain (dys) function will improve our ability to diagnose and treat neurological and …

Theoretical frameworks such as predictive coding suggest that the perception of the body
and world–interoception and exteroception–involve intertwined processes of inference …

Recent neurocomputational theories have hypothesized that abnormalities in prior beliefs
and/or the precision-weighting of afferent interoceptive signals may facilitate the …

This article outlines how a core concept from theories of homeostasis and cybernetics, the
inference-control loop, may be used to guide differential diagnosis in computational …

Social neuroscience aims to describe the neural systems that underpin social cognition and
behaviour. Over the past decade, researchers have begun to combine computational …

Social psychologists attempt to explain how we interact by appealing to basic principles of
how we think. To make good on this ambition, they are increasingly relying on an …