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Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up

Brain sciences, 2020-09, Vol.10 (9), p.626

2020

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Not with a “zap” but with a “beep”: Measuring the origins of perinatal experience

NeuroImage (Orlando, Fla.), 2023-06, Vol.273, p.120057-120057, Article 120057

2023

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Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity

NeuroImage (Orlando, Fla.), 2022-10, Vol.259, p.119433, Article 119433

2022

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Reduced emergent character of neural dynamics in patients with a disrupted connectome

NeuroImage (Orlando, Fla.), 2023-04, Vol.269, p.119926, Article 119926

2023

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Psychedelics and schizophrenia: Distinct alterations to Bayesian inference

NeuroImage (Orlando, Fla.), 2022-11, Vol.263, p.119624-119624, Article 119624

2022

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Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

NeuroImage (Orlando, Fla.), 2023-07, Vol.275, p.120162, Article 120162

2023

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The Partial Information Decomposition of Generative Neural Network Models

Entropy (Basel, Switzerland), 2017-09, Vol.19 (9), p.474

2017

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An Information-Theoretic Approach to Self-Organisation: Emergence of Complex Interdependencies in Coupled Dynamical Systems

Entropy (Basel, Switzerland), 2018-10, Vol.20 (10), p.793

2018

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A synergistic core for human brain evolution and cognition

Nature neuroscience, 2022-06, Vol.25 (6), p.771-782

2022

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Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data

PLoS computational biology, 2020-12, Vol.16 (12), p.e1008289-e1008289

2020

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Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation

Entropy (Basel, Switzerland), 2018-12, Vol.21 (1), p.17

2018

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Information decomposition and the informational architecture of the brain

Trends in cognitive sciences, 2024-04, Vol.28 (4), p.352-368

2024

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An operational information decomposition via synergistic disclosure

Journal of physics. A, Mathematical and theoretical, 2020-12, Vol.53 (48), p.485001

2020

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The strength of weak integrated information theory

Trends in cognitive sciences, 2022-08, Vol.26 (8), p.646-655

2022

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Quantifying high-order interdependencies via multivariate extensions of the mutual information

Physical review. E, 2019-09, Vol.100 (3), p.032305-032305, Article 032305

2019

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A whole-brain model of the neural entropy increase elicited by psychedelic drugs

Scientific reports, 2023-04, Vol.13 (1), p.6244-6244, Article 6244

2023

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Integrated information as a common signature of dynamical and information-processing complexity

Chaos (Woodbury, N.Y.), 2022-01, Vol.32 (1), p.013115

2022

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A mechanistic model of the neural entropy increase elicited by psychedelic drugs

Scientific reports, 2020-10, Vol.10 (1), p.17725-17725

2020

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Dynamical noise can enhance high-order statistical structure in complex systems

Chaos (Woodbury, N.Y.), 2023-12, Vol.33 (12)

2023

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Disentangling high-order mechanisms and high-order behaviours in complex systems

Nature physics, 2022-05, Vol.18 (5), p.476-477

2022

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Greater than the parts: a review of the information decomposition approach to causal emergence

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2022-07, Vol.380 (2227), p.20210246

2022

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Decomposing Spectral and Phasic Differences in Nonlinear Features between Datasets

Physical review letters, 2021-09, Vol.127 (12), p.124101-124101, Article 124101

2021

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High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model

PLoS computational biology, 2022-09, Vol.18 (9), p.e1010431

2022

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Unravelling consciousness and brain function through the lens of time, space, and information

Trends in neurosciences (Regular ed.), 2024-07, Vol.47 (7), p.551-568

2024

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May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data

Journal of the Royal Society interface, 2022-06, Vol.19 (191), p.20220214

2022

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Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up

Not with a “zap” but with a “beep”: Measuring the origins of perinatal experience

Metastability, fractal scaling, and synergistic information processing: What phase relationships reveal about intrinsic brain activity

Reduced emergent character of neural dynamics in patients with a disrupted connectome

Psychedelics and schizophrenia: Distinct alterations to Bayesian inference

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

The Partial Information Decomposition of Generative Neural Network Models

An Information-Theoretic Approach to Self-Organisation: Emergence of Complex Interdependencies in Coupled Dynamical Systems

A synergistic core for human brain evolution and cognition

Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data

Measuring Integrated Information: Comparison of Candidate Measures in Theory and Simulation

Information decomposition and the informational architecture of the brain

An operational information decomposition via synergistic disclosure

The strength of weak integrated information theory

Quantifying high-order interdependencies via multivariate extensions of the mutual information

A whole-brain model of the neural entropy increase elicited by psychedelic drugs

Integrated information as a common signature of dynamical and information-processing complexity

A mechanistic model of the neural entropy increase elicited by psychedelic drugs

Dynamical noise can enhance high-order statistical structure in complex systems

Disentangling high-order mechanisms and high-order behaviours in complex systems

Greater than the parts: a review of the information decomposition approach to causal emergence

Decomposing Spectral and Phasic Differences in Nonlinear Features between Datasets

High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model

Unravelling consciousness and brain function through the lens of time, space, and information

May the 4C's be with you: an overview of complexity-inspired frameworks for analysing resting-state neuroimaging data

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