Predictive processing in neuroscience, computational modeling and psychology

Abstract

Over the past decades, predictive processing has emerged as a powerful theoretical framework that holds promise for explaining a wide range of phenomena, including perception and imagery but also sensorimotor control and consciousness. Here we focus on the question if and how predictive processing may be implemented in the mammalian and human brain, and what its scope of perceptual and cognitive functions is. We review basic and advanced computational models of predictive processing, expanding the range of computational, cognitive and sensorimotor capacities and enhancing their biological plausibility. Based on empirical evidence, major steps will need to be taken to flesh out how predictive processing may be precisely implemented in the brain, but the overall framework holds great potential as an explanatory framework in the neurosciences and psychology, strongly linking to Artificial Intelligence