Prediction is often regarded as an integral aspect of incremental language comprehension,
but little is known about the cognitive architectures and mechanisms that support it. We …

This narrative review synthesizes and introduces 386 previous works about virtual reality-
induced symptoms and effects by focusing on cybersickness, visual fatigue, muscle fatigue …

Top-down feedback in cortex is critical for guiding sensory processing, which has
prominently been formalized in the theory of hierarchical predictive coding (hPC). However …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Deep learning and predictive coding architectures commonly assume that inference in
neural networks is hierarchical. However, largely neglected in deep learning and predictive …

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

Several authors have made claims about the compatibility between the Free Energy
Principle (FEP) and theories of autopoiesis and enaction. Many see these theories as …

This review paper offers an overview of the history and future of active inference—a unifying
perspective on action and perception. Active inference is based upon the idea that sentient …

The search for the neural correlates of consciousness is in need of a systematic, principled
foundation that can endow putative neural correlates with greater predictive and explanatory …

The symptoms of functional neurological disorder (FND) are a product of its
pathophysiology. The pathophysiology of FND is reflective of dysfunction within and across …