ArticlePLoS computational biology2014
From the phenomenology to the mechanisms of consciousness: Integrated Information Theory 3.0.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 342 papers.
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342 citing papers in PubMed.
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- Community First Theory: How Collective Organization Generates Individual Diversity.Entropy (Basel, Switzerland) · 2026Article
- Intrinsic Cause-Effect Power: The Tradeoff Between Differentiation and Specification.Entropy (Basel, Switzerland) · 2026Article
- Quantum Superpositions of Conscious States in a Minimal Integrated Information Model.Entropy (Basel, Switzerland) · 2026Article
- When Wholes Resist Decomposition: A Spectral Measure of Epistemic Emergence.Entropy (Basel, Switzerland) · 2026Article
- Fast and Slow Signal Propagation in Abiotic Polypeptide Assemblies.Chembiochem : a European journal of chemical biology · 2026Article
- The integrated information Φ of an integrate and fire network.PLoS computational biology · 2026Article
- EEG hemispheric asymmetry and behavioral responsiveness following rTMS in unresponsive wakefulness syndrome: an exploratory study.Journal of neuroengineering and rehabilitation · 2026Article
- What is emergence, after all?PNAS nexus · 2026Article
- From the Visible to the Invisible: On the Phenomenal Gradient of Appearance.Brain sciences · 2026Article
- Toward a true understanding of consciousness: the explanatory power behind the non-physicalist paradigm.Frontiers in human neuroscience · 2026Article
- A neuroscientific hypothesis on the physical nature of consciousness.Frontiers in human neuroscience · 2026Article
- The informational dysregulation framework of addiction (IDFA): an information-processing model of relapse in opioid use disorder.Frontiers in psychiatry · 2026Article
- Intrinsic units: identifying a system's causal grain.Neuroscience of consciousness · 2026Article
- Mirror-induced origination process of human self-consciousness-restructuring consciousness-based cognitive theory.Frontiers in psychology · 2026Article
- We need to explain subjective experience, but its explanation may not be mechanistic.Neuroscience of consciousness · 2026Article
282 more citing papers are in PubMed but not listed here.
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
This paper presents Integrated Information Theory (IIT) of consciousness 3.0, which incorporates several advances over previous formulations. IIT starts from phenomenological axioms: information says that each experience is specific--it is what it is by how it differs from alternative experiences; integration says that it is unified--irreducible to non-interdependent components; exclusion says that it has unique borders and a particular spatio-temporal grain. These axioms are formalized into postulates that prescribe how physical mechanisms, such as neurons or logic gates, must be configured to generate experience (phenomenology). The postulates are used to define intrinsic information as "differences that make a difference" within a system, and integrated information as information specified by a whole that cannot be reduced to that specified by its parts. By applying the postulates both at the level of individual mechanisms and at the level of systems of mechanisms, IIT arrives at an identity: an experience is a maximally irreducible conceptual structure (MICS, a constellation of concepts in qualia space), and the set of elements that generates it constitutes a complex. According to IIT, a MICS specifies the quality of an experience and integrated information ΦMax its quantity. From the theory follow several results, including: a system of mechanisms may condense into a major complex and non-overlapping minor complexes; the concepts that specify the quality of an experience are always about the complex itself and relate only indirectly to the external environment; anatomical connectivity influences complexes and associated MICS; a complex can generate a MICS even if its elements are inactive; simple systems can be minimally conscious; complicated systems can be unconscious; there can be true "zombies"--unconscious feed-forward systems that are functionally equivalent to conscious complexes.
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