ArticleEntropy (Basel, Switzerland)2020
The Emergence of Integrated Information, Complexity, and 'Consciousness' at Criticality.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- The informational dysregulation framework of addiction (IDFA): an information-processing model of relapse in opioid use disorder.Frontiers in psychiatry · 2026Article
- A cybernetic framework for synthetic biological intelligence in the era of neural tissue engineering.Npj unconventional computing · 2026Review
- Article
- Information dynamics of in silico EEG Brain Waves: Insights into oscillations and functions.PLoS computational biology · 2024Article
- Critical dynamics in spontaneous EEG predict anesthetic-induced loss of consciousness and perturbational complexity.Communications biology · 2024Article
- Brain network hypersensitivity underlies pain crises in sickle cell disease.Scientific reports · 2024Article
- Criticality of resting-state EEG predicts perturbational complexity and level of consciousness during anesthesia.bioRxiv : the preprint server for biology · 2023Article
- Sensory-Processing Sensitivity Is Associated with Increased Neural Entropy.Entropy (Basel, Switzerland) · 2023Article
- Entropy and Cross-Level Orderliness in Light of the Interconnection between the Neural System and Consciousness.Entropy (Basel, Switzerland) · 2023Review
- On the non-uniqueness problem in integrated information theory.Neuroscience of consciousness · 2023Article
- Avalanche criticality in individuals, fluid intelligence, and working memory.Human brain mapping · 2022Article
- Different Approximation Methods for Calculation of Integrated Information Coefficient in the Brain during Instrumental Learning.Brain sciences · 2022Article
- Self-organized criticality as a framework for consciousness: A review study.Frontiers in psychology · 2022Article
- Determining states of consciousness in the electroencephalogram based on spectral, complexity, and criticality features.Neuroscience of consciousness · 2022Article
- Paradoxical markers of conscious levels: Effects of propofol on patients in disorders of consciousness.Frontiers in human neuroscience · 2022Article
- Spontaneous neuronal avalanches as a correlate of access consciousness.Frontiers in psychology · 2022Article
- Information Theory for Human and Social Processes.Entropy (Basel, Switzerland) · 2020Article
- Computing Integrated Information (Entropy (Basel, Switzerland) · 2020Article
- Towards a Universal Measure of Complexity.Entropy (Basel, Switzerland) · 2020Article
- Four-Types of IIT-Induced Group Integrity ofEntropy (Basel, Switzerland) · 2020Article
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Authors and funding
7 authors.
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Abstract
Integrated Information Theory (IIT) posits that integrated information ( Φ ) represents the quantity of a conscious experience. Here, the generalized Ising model was used to calculate Φ 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 Φ can capture integrated information in an empirical dataset, and display critical behavior acting as an order parameter from the generalized Ising model.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.