Bayesian theories of consciousness: a review in search for a minimal unifying model.

Summary

This review examines Bayesian theories of consciousness, which propose that conscious experience arises from the brain's probabilistic inference processes. It evaluates various Bayesian models, including predictive processing and active inference, to identify their commonalities and differences. The goal is to find a minimal unifying model that captures the essential features of consciousness within a Bayesian framework. The review synthesizes existing theoretical work and highlights key debates, such as the role of precision weighting and the nature of generative models. It concludes that while Bayesian approaches offer promising insights, a fully unified model remains elusive.

Study at a glance

Abstract

Bayesian theories of consciousness: a review in search for a minimal unifying model.