ArticleEntropy (Basel, Switzerland)2023
System Integrated Information.
Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Intrinsic Cause-Effect Power: The Tradeoff Between Differentiation and Specification.Entropy (Basel, Switzerland) · 2026Article
- When Wholes Resist Decomposition: A Spectral Measure of Epistemic Emergence.Entropy (Basel, Switzerland) · 2026Article
- Editorial: Exploiting non-oncogene addiction for overcoming drug resistance in metastatic tumors.Frontiers in pharmacology · 2026Article
- Integrated information theory (IIT) and the testability of the silent neuron predictions.Neuroscience of consciousness · 2026Article
- Intrinsic units: identifying a system's causal grain.Neuroscience of consciousness · 2026Article
- Why does time feel the way it does? Toward a principled account of temporal experience.iScience · 2025Article
- Upper bounds for integrated information.PLoS computational biology · 2024Article
- How to be an integrated information theorist without losing your body.Frontiers in computational neuroscience · 2024Article
- The Fundamental Tension in Integrated Information Theory 4.0's Realist Idealism.Entropy (Basel, Switzerland) · 2023Article
- Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms.PLoS computational biology · 2023Article
- Computing the Integrated Information of a Quantum Mechanism.Entropy (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 3 countries.
Funding
Abstract
Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience. The axioms are translated into a set of postulates about the substrate of consciousness (called a complex), which are then used to formulate a mathematical framework for assessing both the quality and quantity of experience. The explanatory identity proposed by IIT is that an experience is identical to the cause-effect structure unfolded from a maximally irreducible substrate (a Φ-structure). In this work we introduce a definition for the integrated information of a system (φs) that is based on the existence, intrinsicality, information, and integration postulates of IIT. We explore how notions of determinism, degeneracy, and fault lines in the connectivity impact system-integrated information. We then demonstrate how the proposed measure identifies complexes as systems, the φs of which is greater than the φs of any overlapping candidate systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.