Cited by 225Philosophy and Theoretical ScienceFunctional Brain Connectivity StudiesNeural dynamics and brain function

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Practical Measures of Integrated Information for Time-Series Data

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Barrett, Adam B., Seth, Anil K.·2011·PLoS Computational Biology

DOI 10.1371/journal.pcbi.1001052PMC PMC3024259

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Abstract

A recent measure of 'integrated information', Φ(DM), quantifies the extent to which a system generates more information than the sum of its parts as it transitions between states, possibly reflecting levels of consciousness generated by neural systems. However, Φ(DM) is defined only for discrete Markov systems, which are unusual in biology; as a result, Φ(DM) can rarely be measured in practice. Here, we describe two new measures, Φ(E) and Φ(AR), that overcome these limitations and are easy to apply to time-series data. We use simulations to demonstrate the in-practice applicability of our measures, and to explore their properties. Our results provide new opportunities for examining information integration in real and model systems and carry implications for relations between integrated information, consciousness, and other neurocognitive processes. However, our findings pose challenges for theories that ascribe physical meaning to the measured quantities.

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Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 37,139
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
An Introduction to Genetic Algorithms
Mitchell, M. (1996) · doi:10.7551/mitpress/3927.001.0001 · Cited by 11,340
Time Series Analysis.
Breitung, J., & Hamilton, J. D. (1995) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2076916 · Cited by 11,114
Time Series Analysis
Hamilton, J. D. (1994) · Princeton University Press eBooks · doi:10.1515/9780691218632 · Cited by 7,941
Rhythms of the Brain
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
Granger, C. W. J. (2010) · Essays in Econometrics · doi:10.1017/cbo9780511753978.002 · Cited by 4,762
Estimating mutual information
Kraskov, A., Stögbauer, H., & Grassberger, P. (2004) · Physical Review E · doi:10.1103/physreve.69.066138 · Cited by 4,419
Time Series Analysis
Booth, D. E., & Hamilton, J. D. (1997) · Technometrics · doi:10.1080/00401706.1997.10485448 · Cited by 3,282

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A systematic review of integrated information theory: a perspective from artificial intelligence and the cognitive sciences
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haracterizing Human-like Consciousness: An Integrative Approach
Goertzel, B. (2014) · Procedia Computer Science · doi:10.1016/j.procs.2014.11.098 · Cited by 11
The Global dynamical complexity of the human brain network
Arsiwalla, X. D., & Verschure, P. F. M. J. (n.d.) · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · Cited by 13
Computing Information Integration in Brain Networks
Arsiwalla, X. D., & Verschure, P. F. M. J. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-28361-6_11 · Cited by 12
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Gillard, S., David, D. P., Mermoud, A., & Maillart, T. (2023) · Journal of Cybersecurity · doi:10.1093/cybsec/tyad021 · Cited by 20
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Sex differences in prenatal development of neural complexity in the human brain
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Prediction and modularity in dynamical systems
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Cohen, D., Sasai, S., Tsuchiya, N., & Oizumi, M. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.108443 · Cited by 12
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Haun, A., Oizumi, M., Kovach, C. K., Kawasaki, H., Oya, H., Howard, M. A., Adolphs, R., & Tsuchiya, N. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/039032 · Cited by 9
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Information-Theoretical Analysis of Team Dynamics in Football Matches
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Toker, D., & Sommer, F. T. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1605.01096 · Cited by 11
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Self-citation
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WORLD-RELATED INTEGRATED INFORMATION: ENACTIVIST AND PHENOMENAL PERSPECTIVES
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Complexity as Causal Information Integration
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Emergence of Integrated Information at Macro Timescales in Real Neural Recordings
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Pepperell, R. (2024) · Brain Sciences · doi:10.3390/brainsci14111112 · Cited by 5
Information-Theoretic Approaches in EEG Correlates of Auditory Perceptual Awareness under Informational Masking
Veyrié, A., Noreña, A. J., Sarrazin, J.-C., & Pézard, L. (2023) · Biology · doi:10.3390/biology12070967 · Cited by 4
The Real Problem(s) with Panpsychism
Seth, A. K. (2021) · Journal of Consciousness Studies · doi:10.53765/20512201.28.9.052 · Cited by 5
Self-citation
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Nazhestkin, I. A., & Svarnik, О. E. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2105128 · Cited by 4
Quasi‐conscious multivariate systems
Mason, J. W. D. (2015) · Complexity · doi:10.1002/cplx.21720 · Cited by 5
A Comparison between Theoretical and Experimental Measures of Consciousness as Integrated Information in an Anatomically Based Network of Coupled Oscillators
Ibáñez-Molina, A. J., & Iglesias‐Parro, S. (2018) · Complexity · doi:10.1155/2018/6101586 · Cited by 4
More than just front or back: Parietal-striatal-thalamic circuits predict consciousness levelPreprint
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Arsiwalla, X. D., Mediano, P. A. M., & Verschure, P. F. M. J. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.05.241 · Cited by 2
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Li, Q., Xu, T., & Calhoun, V. D. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149864 · Cited by 2
Meta-representations as representations of processes
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Is ‘Information’ Fundamental for a Scientific Theory of Consciousness?
Nagaraj, N., & Virmani, M. (2017) · Springer eBooks · doi:10.1007/978-981-10-5777-9_21 · Cited by 2
Exploring complex and integrated information during sleep
Onoda, K., & Akama, H. (2024) · Neuroscience of Consciousness · doi:10.1093/nc/niae029 · Cited by 2
Emergence of the Affect from the Variation in the Whole-Brain Flow of Information
Keshmiri, S., Shiomi, M., & Ishiguro, H. (2019) · Brain Sciences · doi:10.3390/brainsci10010008 · Cited by 2
Modelling Complex Phenomena in Physiology
Chen, S., & Zaikin, A. A. (2020) · Springer eBooks · doi:10.1007/978-981-33-4033-6_13 · Cited by 2
Development of a model for the study and measurement of consciousness in artificial cognitive systems based on the integrated information theory
Guerrero, L. E., Arango‐López, J., Castillo, L., & Moreira, F. (2024) · Neural Computing and Applications · doi:10.1007/s00521-024-10584-6 · Cited by 1
A practical measure of integrated information reveals alpha-band activity and the posterior cortex as neural correlates of arousal
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Decrease and recovery of integrated information Φ during anesthesia and sleep on human functional magnetic resonance imaging
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Beyond mimicry: a framework for evaluating genuine intelligence in artificial systems
Niazi, S. K. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2025.1686752 · Cited by 1
When Wholes Resist Decomposition: A Spectral Measure of Epistemic Emergence
Bailey, M., & Schneider, S. (2026) · Entropy · doi:10.3390/e28040380 · Cited by 3
Steps forward to synthetic consciousness measurement
Bodea, M. (2026) · Cognitive Processing · doi:10.1007/s10339-026-01341-9 · Cited by 1
Effects of parity, frustration, and stochastic fluctuations on integrated conceptual information for networks with two small-sized loops
Hosaka, T. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.02.034 · Cited by 2
Integrated Information in Relational Quantum Dynamics (RQD)
Zaghi, A. E. (2025) · Applied Sciences · doi:10.3390/app15137521 · Cited by 1
Different Approximation Methods for Calculation of Integrated Information Coefficient in the Brain during Instrumental Learning
Nazhestkin, I. A., & Svarnik, О. E. (2022) · Brain Sciences · doi:10.3390/brainsci12050596 · Cited by 1
Neural Correlates of Consciousness and Complexity
Onoda, K. (2022) · Japanese Journal of Physiological Psychology and Psychophysiology · doi:10.5674/jjppp.2204si · Cited by 1
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Ramezani, V. R. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1402.7038 · Cited by 1
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Niizato, T., Sakamoto, K., Mototake, Y.-I., Murakami, H., Tomaru, T., Hoshika, T., & Fukushima, T. (2019) · Preprints.org · doi:10.20944/preprints201902.0269.v1 · Cited by 1
Tracking brain dynamics across transitions of consciousness
Comșa, I. M. (2018) · Apollo (University of Cambridge) · doi:10.17863/cam.37723 · Cited by 1
New Classification of Collective Animal Behaviour as an Autonomous SystemPreprint
Niizato, T., Sakamoto, K., Mototake, Y.-I., Murakami, H., Tomaru, T., Hoshika, T., & Fukushima, T. (2020) · Preprints.org · doi:10.20944/preprints202003.0282.v1
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Nilsen, A. S., Arena, A., & Storm, J. F. (2023) · doi:10.31234/osf.io/untrm · Cited by 1
A Synergistic Workspace for Human Consciousness Revealed by Integrated Information DecompositionPreprint
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Allanson, J. E., Pickard, J. D., Carhart-Harris, R. L., Williams, G. B., Craig, M. M., Finoia, P., Owen, A. M., et al. (2024) · eLife · doi:10.7554/elife.88173.2 · Cited by 1
Complexity Measures in Diverse Dynamical Regimes and Application to States of ConsciousnessPreprint
Odan, S. (2024) · Preprints.org · doi:10.20944/preprints202410.0649.v1
An engine for systematic discovery of cause-effect relationships between brain structure and functionPreprint
Luppi, A. I., Milisav, F., Suárez, L. E., Shafiei, G., Vohryzek, J., Perl, Y. S., Ali, H., Rosas, F. E., Mediano, P. A. M., Mišić, B., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.05.647237 · Cited by 2
Why large language models cannot possess consciousness: an integrated information theory perspective
Shin, D. A., Cho, P. G., Ji, G. Y., Park, S. H., Kim, S. H., Choo, Y. J., & Chang, M. C. (2025) · Journal of Yeungnam Medical Science · doi:10.12701/jyms.2025.42.79
“IIT provides a formal framework for understanding consciousness in terms of the causal structure of a system [5,6,8].”
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Demichev, A. P. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1411.1612
Measuring scales: Integration and modularity in complex systems
Kolchinsky, A. (2015) · IUScholarWorks (Indiana University)
An evaluation of the Integrated Information Theory against some central problems of consciousness
Olsson, H. (2015) · Diva portal (Dalarna University Library)
A CONCISE STUDY TOWARDS ENGINEERING CONSCIOUSNESS.
Mukhopadhyay, M. (2017) · International Journal of Advanced Research · doi:10.21474/ijar01/4067
Evolution of Decision-Making Systems
Schossau, J. D. (2017) · Michigan State University Libraries · doi:10.25335/m5wf78
Fields of Application of Information Geometry
Ay, N., Jost, J., Lê, H. V., & Schwachhöfer, L. (2017) · Ergebnisse der Mathematik und ihrer Grenzgebiete · doi:10.1007/978-3-319-56478-4_6
An Improved Relevance Index Method to Search Important Structures in Complex Systems
Sani, L., Bononi, A., Pecori, R., Amoretti, M., Mordonini, M., Roli, A., Villani, M., Cagnoni, S., & Serra, R. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-21733-4_1
The largest cognitive systems will be optoelectronicPreprint
Shainline, J. M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1809.02572
Quasi-Conscious Multivariate SystemsPreprint
Mason, J. W. D. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1501.00682
Effects of parity, frustration, and stochastic fluctuations on integrated information of consciousness for networks with two small-sized loopsPreprint
Hosaka, T. (2021) · Research Square · doi:10.21203/rs.3.rs-385815/v1
Variations in the Value of Integrated Information Theory Estimated from Hippocampal Neural Activity During Acquisition of Operant Behavior in Rats
Nazhestkin, I. A., & Svarnik, О. E. (2022) · BIOPHYSICS · doi:10.1134/s0006350922010110
A concise study towards engineering consciousnessPreprint
Mukhopadhyay, M. (2017) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/kw62q

Authors: Barrett, A. B., & Seth, A. K.
Affiliations: University of Sussex (GB)
Corresponding author: Barrett, Adam B.
ORCID: Barrett, Adam B.
Seth, Anil K.
Venue: PLoS Computational Biology
Publisher: Public Library of Science (PLoS)
Published: 2011-01-20
Volume: 7
Issue: 1
Pages: e1001052
ISSN: 1553-734X (ISSN-L)
1553-7358
DOI: 10.1371/journal.pcbi.1001052
PMC: PMC3024259
OpenAlex: W2048013965
Cited by: 225
References: 61
Citations by year: 2026: 11 · 2025: 16 · 2024: 22 · 2023: 18 · 2022: 17 · 2021: 14 · 2020: 17 · 2019: 21 · 2018: 17 · 2017: 17 · 2016: 16 · 2015: 13 · 2014: 10 · 2013: 2 · 2012: 9
FWCI: 10.30
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (unspecified)
Locations: PLoS Computational Biology (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Sussex Research Online (University of Sussex) (submittedVersion)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Figshare (submittedVersion, cc-by)
Funders: Engineering and Physical Sciences Research Council (EP/G007543/1)
Topics: Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: integrated information, information integration, time series, Markov systems, consciousness, neural systems, information measures
MeSH terms: Information Services, Markov Chains, Models, Theoretical

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Practical Measures of Integrated Information for Time-Series Data

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