Consciousness as the Temporal Propagation of Information.
Daniel Revach, Moti Salti
Frontiers in Systems Neuroscience 2022 DOI: 10.3389/fnsys.2022.759683 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Body boundaries Consciousness Information theory Perception Self Volition |
| Key points | Proposes that consciousness can be understood as the propagation of information from the past to the future, explaining volition, subjectivity, higher-order thoughts, and body boundaries through temporal continuity in perception. |
Abstract
Our ability to understand the mind and its relation to the body is highly dependent on the way we define consciousness and the lens through which we study it. We argue that looking at conscious experience from an information-theory perspective can help obtain a unified and parsimonious account of the mind. Today's dominant models consider consciousness to be a specialized function of the brain characterized by a discrete neural event. Against this background, we consider subjective experience through information theory, presenting consciousness as the propagation of information from the past to the future. We examine through this perspective major characteristics of consciousness. We demonstrate that without any additional assumptions, temporal continuity in perception can explain the emergence of volition, subjectivity, higher order thoughts, and body boundaries. Finally, we discuss the broader implications for the mind-body question and the appeal of embodied cognition.
Citations in the library
Cited by 3
- Towards a Materialist Ontology of Consciousness: An Autopoietic Alternative to Wendt's Quantum Consciousness Theory Journal for the Theory of Social Behaviour September 1, 2026
- Consciousness in the Brain: An Integrative Review of Contemporary Theories. Brain Sciences July 14, 2026
- Some necessary constructs of consciousness as defined in the dynamic organicity theory Journal of Multiscale Neuroscience April 6, 2024
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