title: Information measures for conscious experience.
abstract: This paper argues that consciousness is integrated information, and introduces measures to assess it. These measures lead to the prediction that a physical system such as the brain gives rise to consciousness when some of its elements constitute a complex having high minimum information midpartition (MID) complexity.
authors.affiliation: Dipartimento di Fisiologia e Biochimica, Università di Pisa, Via S. Zeno 31, 56127 Pisa, Italy.
authors.forename: G
authors.initials: G
authors.lastname: Tononi
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D001921:Brain / Q000502:physiology*; D002540:Cerebral Cortex / Q000502:physiology; D003071:Cognition / Q000502:physiology*; D003243:Consciousness / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D010465:Perception / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology; D013788:Thalamus / Q000502:physiology