ArticleNeuroscience of consciousness2023
About the compatibility between the perturbational complexity index and the global neuronal workspace theory of consciousness.
Article in Neuroscience of consciousness, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Advances and applications of brain organoids in central nervous system disorders: Bridging the gap from laboratory to clinic.Neural regeneration research · 2026Article
- Reflections on Consciousness in Intensive Care.Acta paediatrica (Oslo, Norway : 1992) · 2026Review
- Beyond the brain: a computational MRI-derived neurophysiological framework for robotic conscious capacity.Neuroscience and biobehavioral reviews · 2025Review
- Nonequilibrium brain dynamics elicited as the origin of perturbative complexity.PLoS computational biology · 2025Article
- Conscious Causality, Observer-Observed Simultaneity, and the Problem of Time for Integrated Information Theory.Entropy (Basel, Switzerland) · 2024Article
- Anesthesia and the neurobiology of consciousness.Neuron · 2024Review
- (Dis)confirming theories of consciousness and their predictions: towards a Lakatosian consciousness science.Neuroscience of consciousness · 2024Article
- What does it mean for consciousness to be multidimensional? A narrative review.Frontiers in psychology · 2024Review
- Scientific publication rate in disorders of consciousness research.Frontiers in psychology · 2024Article
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2 authors.
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Abstract
This paper investigates the compatibility between the theoretical framework of the global neuronal workspace theory (GNWT) of conscious processing and the perturbational complexity index (PCI). Even if it has been introduced within the framework of a concurrent theory (i.e. Integrated Information Theory), PCI appears, in principle, compatible with the main tenet of GNWT, which is a conscious process that depends on a long-range connection between different cortical regions, more specifically on the amplification, global propagation, and integration of brain signals. Notwithstanding this basic compatibility, a number of limited compatibilities and apparent differences emerge. This paper starts from the description of brain complexity, a notion that is crucial for PCI, to then summary of the main features of PCI and the main tenets of GNWT. Against this background, the text explores the compatibility between PCI and GNWT. It concludes that GNWT and PCI are fundamentally compatible, even though there are some partial disagreements and some points to further examine.
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