An adaptive representational account of predictive processing in human cognition
Year: 2025
Type: article
Abstract: As a new research direction in contemporary cognitive science, predictive processing surpasses traditional computational representation and embodied cognition and has emerged as a new paradigm in cognitive science research. The predictive processing theory advocates that the brain is a hierarchical predictive model based on Bayesian inference, and its purpose is to minimize the difference between the predicted world and the actual world, so as to minimize the prediction error. Predictive processing is therefore essentially a context-dependent model representation, an adaptive representational system designed to achieve its cognitive goals through the minimization of prediction error.
Source: Cultures of Science
Authors: Zhichao Gong, Yidong Wei
Institution: Shanxi University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4408455303