Integrated Information Theory

Integrated Information Theory is a neuroscientific theory that posits consciousness as arising from the capacity of a system to integrate information, distinguished by its formal quantification of consciousness through the metric Φ (phi), representing the amount of information generated by causal interactions within a unified system.

184

Publications

15.1K

Citations

383

Authors

257

Institutions

Publications per year

2017–2026

100

Variants

Iit

Authors

383

  1. GT
    Giulio Tononi

    University of Wisconsin–Madison, United States

    26 publications · 5.2K citations

    20

    h-index

  2. LA
    Larissa Albantakis

    University of Wisconsin–Madison, United States

    14 publications · 2.1K citations

    14

    h-index

  3. PA
    Pedro A. M. Mediano

    Imperial College London, United Kingdom

    11 publications · 559 citations

    11

    h-index

  4. NT
    Naotsugu Tsuchiya

    Monash University, Australia

    9 publications · 629 citations

    9

    h-index

  5. FE
    Fernando E. Rosas

    Imperial College London, United Kingdom

    8 publications · 356 citations

    8

    h-index

1–5 of 383

Venues

  1. Entropy

    18 publications · 639 citations

    15

    h-index

  2. Neuroscience of Consciousness

    14 publications · 840 citations

    13

    h-index

  3. PLoS Computational Biology

    11 publications · 3K citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 11 publications · 278 citations

    10

    h-index

  5. Frontiers in Psychology

    6 publications · 312 citations

    6

    h-index

1–5