A theory of consciousness: computation, algorithm, and neurobiological realization.
J H Van Hateren
Biological Cybernetics August 2019 DOI: 10.1007/s00422-019-00803-y (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Consciousness Estimation Evolution Fitness Sentience Thalamocortical |
| Key points | Proposes that the brain estimates an individual's evolutionary fitness, and that communicating components of this estimate requires inversion, which the thalamocortical feedback loop can perform in a switched, dual-stage mode. Argues that the second, conscious stage's inversion produces a spatially localized form of causation that is plausibly sensed as the feeling of consciousness. |
Abstract
The most enigmatic aspect of consciousness is the fact that it is felt, as a subjective sensation. The theory proposed here aims to explain this particular aspect. The theory encompasses both the computation that is presumably involved and the way in which that computation may be realized in the brain's neurobiology. It is assumed that the brain makes an internal estimate of an individual's own evolutionary fitness, which can be shown to produce a special, distinct form of causation. Communicating components of the fitness estimate (either for external or for internal use) requires inverting them. Such inversion can be performed by the thalamocortical feedback loop in the mammalian brain, if that loop is operating in a switched, dual-stage mode. A first (nonconscious) stage produces forward estimates, whereas the second (conscious) stage inverts those estimates. It is argued that inversion produces another special, distinct form of causation, which is spatially localized and is plausibly sensed as the feeling of consciousness.
Citations in the library
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- Perspectivas del estudio de la consciencia: aproximación desde las ciencias de la complejidad y la biología evolutiva Entreciencias diálogos en la Sociedad del Conocimiento March 4, 2024
- A systematic review of integrated information theory: a perspective from artificial intelligence and the cognitive sciences Neural Computing and Applications February 7, 2023
- Mental Factor Classification Using Computational Model of Consciousness 2022 Second International Conference on Next Generation Intelligent Systems July 29, 2022
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and 10 more in the library