Null models for comparing information decomposition across complex systems.
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| Title: | Null models for comparing information decomposition across complex systems. |
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| Authors: | Liardi A; Department of Computing, Imperial College London, London, United Kingdom.; Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom.; Center for Complexity Science, Department of Mathematics, Imperial College London, London, United Kingdom., Rosas FE; Center for Complexity Science, Department of Mathematics, Imperial College London, London, United Kingdom.; Sussex Centre for Consciousness Science and Sussex AI, University of Sussex, Brighton, United Kingdom.; Centre for Psychedelic Research, Department of Brain Sciences, Imperial College London, London, United Kingdom.; Centre for Eudaimonia and Human Flourishing, University of Oxford, Oxford, United Kingdom., Carhart-Harris RL; Department of Neurology, University of California San Francisco, San Francisco, California, United States of America., Blackburne G; Department of Computing, Imperial College London, London, United Kingdom.; Department of Experimental Psychology, University College London, London, United Kingdom., Bor D; Department of Psychology, University of Cambridge, Cambridge, United Kingdom.; Department of Psychology, Queen Mary University of London, London, United Kingdom., Mediano PAM; Department of Computing, Imperial College London, London, United Kingdom.; Division of Psychology and Language Sciences, University College London, London, United Kingdom. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2025 Nov 05; Vol. 21 (11), pp. e1013629. Date of Electronic Publication: 2025 Nov 05 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013629 |
