This perspective describes predictive processing as a computational framework for
understanding cortical function in the context of emerging evidence, with a focus on sensory …

Fueled by developments in computational neuroscience, there has been increasing interest
in the underlying neurocomputational mechanisms of psychosis. One successful approach …

Modern society faces major environmental problems, but there are many difficulties in
studying the nature–human relationship from an integral psychosocial perspective. We …

Predictive processing postulates the existence of prediction error neurons in cortex. Neurons
with both negative and positive prediction error response properties have been identified in …

Hallucinations, perceptions in the absence of objectively identifiable stimuli, illustrate the
constructive nature of perception. Here, we highlight the role of prior beliefs as a critical …

How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …

The free-energy principle (FEP) is a formal model of neuronal processes that is widely
recognised in neuroscience as a unifying theory of the brain and biobehaviour. More …

A brilliant new theory of the mind that upends our understanding of how the brain interacts
with the world “This thoroughly readable book will convince you that the brain and the world …

Aims: The experience of a compromised sense of “self”, termed ego-dissolution, is a key
feature of the psychedelic experience. This study aimed to validate the Ego-Dissolution …

This paper outlines a hierarchical Bayesian framework for interoception,
homeostatic/allostatic control, and meta-cognition that connects fatigue and depression to …