Computation, perception, and mind.
Behavioral and Brain Sciences March 23, 2022 DOI: 10.1017/s0140525x21001886 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Commentary Peer reviewed |
|---|---|
| Key points | 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.
Citations in the library
Cites 6
- No-Report Paradigms: Extracting the True Neural Correlates of Consciousness Trends in Cognitive Sciences November 13, 2015
- Why and how access consciousness can account for phenomenal consciousness. Philosophical transactions of the Royal Society of London. Series B, Biological sciences September 19, 2018
- Making the hard problem of consciousness easier Science May 28, 2021
- Visual Functions Generating Conscious Seeing. Frontiers in Psychology 2020
- Understanding the Higher-Order Approach to Consciousness. Trends in Cognitive Sciences September 1, 2019
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