Computation, perception, and mind.
The Behavioral and brain sciences March 23, 2022 DOI: 10.1017/s0140525x21001886 (opens in new tab) via PubMed
Summary
AI-generated from the abstractSubjective experience presents mysteries that current neuroscience cannot fully explain. While computational models like integrated information theory (IIT) are criticized as misguided, progress comes from demystifying specific cases and considering evolutionary perspectives. The commentary broadens the discussion beyond abstract models to include these unresolved aspects of consciousness.
Study at a glance
| Characteristics | Commentary Peer reviewed |
|---|---|
| Key finding | Argues that abstract computational models such as integrated information theory are inadequate for explaining consciousness, and that progress requires demystifying specific cases and pursuing evolutionary considerations. |
Abstract
Advances in behavioral and brain sciences have engendered wide ranging efforts to help understand consciousness. The target article suggests that abstract computational models (such as integrated information theory [IIT]) are ill-advised. This commentary broadens the discussion to include mysteries of subjective experience that are inconsistent with current neuroscience. It also discusses progress being made through demystifying specific cases and pursuing evolutionary considerations.