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Predictive processing as an empirical theory for consciousness science.
Anil K Seth1,2, Jakob Hohwy3
1Sackler Centre for Consciousness Science and School of Engineering and Informatics, University of Sussex, BN1 9QJ, UK.
Cognitive Neuroscience
|December 7, 2020
Summary
Theories of consciousness often oversimplify by equating it with a single mechanism. A more effective approach for consciousness science involves mapping physical processes to conscious experiences, with predictive processing as a leading candidate.
Area of Science:
- Cognitive Neuroscience
- Philosophy of Mind
- Theoretical Neuroscience
Background:
- Current theories of consciousness often reduce it to a single phenomenon, process, or mechanism.
- This monolithic approach struggles to explain the diverse properties of conscious experiences.
Purpose of the Study:
- To propose a new framework for advancing consciousness science.
- To advocate for theories that map physical and biological mechanisms to the functional and phenomenological properties of consciousness.
Main Methods:
- Conceptual analysis of existing theories of consciousness.
- Framework development emphasizing systematic mappings between neural mechanisms and conscious experience.
Main Results:
- Identified limitations in theories that treat consciousness as a singular explanatory target.
- Proposed that 'theories for consciousness science' are more beneficial than 'theories of consciousness'.
Conclusions:
- Progress in consciousness science requires detailed mappings between physical/biological mechanisms and conscious properties.
- Predictive processing is a promising theoretical framework for achieving this goal.
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