The emergence of integrated information, complexity, and 'consciousness' at criticality

Nicholas J.M. Popiel, Sina Khajehabdollahi, Pubuditha M. Abeyasinghe, Francesco Riganello, Emily Nichols, Adrian M. Owen, Andrea Soddu

Research output: Contribution to journalArticleResearchpeer-review

25 Citations (Scopus)

Abstract

Integrated Information Theory (IIT) posits that integrated information (F) represents the quantity of a conscious experience. Here, the generalized Ising model was used to calculate F as a function of temperature in toy models of fully connected neural networks. A Monte-Carlo simulation was run on 159 normalized, random, positively weighted networks analogous to small five-node excitatory neural network motifs. Integrated information generated by this sample of small Ising models was measured across model parameter spaces. It was observed that integrated information, as an order parameter, underwent a phase transition at the critical point in the model. This critical point was demarcated by the peak of the generalized susceptibility (or variance in configuration due to temperature) of integrated information. At this critical point, integrated information was maximally receptive and responsive to perturbations of its own states. The results of this study provide evidence that F can capture integrated information in an empirical dataset, and display critical behavior acting as an order parameter from the generalized Ising model.

Original languageEnglish
Article number339
Number of pages12
JournalEntropy
Volume22
Issue number3
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Criticality
  • Integrated information
  • Ising model

Cite this