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Leonardo S. Barbosa

3 papers in the library · 93 citations · publishing 2021-2023

Papers

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Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms.

PLoS Computational Biology October 17, 2023 Larissa Albantakis, Leonardo S. Barbosa, Graham Findlay et al.

This paper presents Integrated Information Theory (IIT) 4.0. IIT aims to account for the properties of experience in physical (operational) terms. It identifies the essential properties of experience (axioms), infers the necessary and sufficient properties that its substrate must satisfy (postulates), and expresses them in mathematical terms. In principle, the postulates can be applied to any...

DOI: 10.1371/journal.pcbi.1011465 (opens in new tab) Full text (opens in new tab) Brain Consciousness Models, neurological Information theory

System Integrated Information

Entropy February 11, 2023 William Marshall, Matteo Grasso, William G. P. Mayner et al. 19 citations

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...

Mechanism Integrated Information

Entropy March 18, 2021 Leonardo S. Barbosa, William Marshall, Larissa Albantakis et al. 74 citations

The Integrated Information Theory (IIT) of consciousness starts from essential phenomenological properties, which are then translated into postulates that any physical system must satisfy in order to specify the physical substrate of consciousness. We recently introduced an information measure (Barbosa et al., 2020) that captures three postulates of IIT-existence, intrinsicality and...

DOI: 10.3390/e23030362 (opens in new tab) Consciousness Mechanism biology Integrated information theory Measure data warehouse +6