Fernando E. Rosas
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View article: Null models for comparing information decomposition across complex systems
Null models for comparing information decomposition across complex systems Open
A key feature of information theory is its universality, as it can be applied to study a broad variety of complex systems. However, many information-theoretic measures can vary significantly even across systems with similar properties, mak…
View article: Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation
Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation Open
Transcranial ultrasound stimulation (TUS) is an emerging non-invasive neuromodulation technique, offering a potential alternative to pharmacological treatments for psychiatric and neurological disorders. While functional analysis has been …
View article: Toward a unified taxonomy of information dynamics via Integrated Information Decomposition
Toward a unified taxonomy of information dynamics via Integrated Information Decomposition Open
Our ability to understand and control complex systems of many interacting parts remains limited. A key challenge is that we still do not know how best to describe—and quantify—the many-to-many dynamical interactions that characterize their…
View article: Recurrency as a Common Denominator for Consciousness Theories
Recurrency as a Common Denominator for Consciousness Theories Open
Consciousness science is fragmented, and empirical investigations are confined within each theory of consciousness’ (TOC) framework. Proliferating ToCs accumulate anomalies without progress, operating orthogonally. The principle of recurre…
View article: Compatibilist emergence for the science of consciousness
Compatibilist emergence for the science of consciousness Open
The relationship between subjectivity and its substrate can be understood via the notion of compatibilist emergence, accounting for the plurality of ways nature can host new dynamical laws at higher scales. We discuss how the autopoietic c…
View article: Information dynamics and the emergence of high-order individuality in ecosystems
Information dynamics and the emergence of high-order individuality in ecosystems Open
At what level does natural selection occur? When considering the reproductive dynamics of interacting and mutating agents, it has long been debated whether selection is better understood by focusing on the individual or if hierarchical sel…
View article: Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies
Localizing Synergies of Hidden Factors in Complex Systems: Resting Brain Networks and HeLa GeneExpression Profile as Case Studies Open
Factor analysis is a well-known statistical method to describe the variability of observed variables in terms of a smaller number of unobserved latent variables called factors. Even though latent factors are conceptually independent of eac…
View article: Explosive neural networks via higher-order interactions in curved statistical manifolds
Explosive neural networks via higher-order interactions in curved statistical manifolds Open
Higher-order interactions underlie complex phenomena in systems such as biological and artificial neural networks, but their study is challenging due to the scarcity of tractable models. By leveraging a generalisation of the maximum entrop…
View article: A Complexity-Science Framework for Studying Flow: Using Media to Probe Brain– Phenomenology Dynamics
A Complexity-Science Framework for Studying Flow: Using Media to Probe Brain– Phenomenology Dynamics Open
Consciousness spans a range of phenomenological experiences, from effortless immersion to disengaged monotony, yet how such phenomenology emerges from brain activity is not well understood. Flow, in particular, has drawn attention for its …
View article: Fast Möbius transform: An algebraic approach to information decomposition
Fast Möbius transform: An algebraic approach to information decomposition Open
The partial information decomposition (PID) and its extension integrated information decomposition (ΦID) are promising frameworks to investigate information phenomena involving multiple variables. An important limitation of these approache…
View article: Recreational Fear Across Childhood. A Cross-Sectional Study of Scary Activities that Children Enjoy
Recreational Fear Across Childhood. A Cross-Sectional Study of Scary Activities that Children Enjoy Open
This study investigated the prevalence of children’s engagement in recreational fear activities — i.e., playful engagement with scary stimuli where both fear and enjoyment are experienced. A detailed survey of 1,600 parents/caregivers (67%…
View article: Meditation and Complexity: a Systematic Review
Meditation and Complexity: a Systematic Review Open
Recent years have seen a growing interest in the use of measures inspired by complexity science for the study of consciousness. The work done in this field has shown remarkable results in discerning conscious from unconscious states, and i…
View article: Exploring the importance of bodyset for the psychedelic experience and beyond
Exploring the importance of bodyset for the psychedelic experience and beyond Open
Background Research has shown that psychedelics may have therapeutic potential in treating mental disorders like depression and anxiety. However, the mechanisms and actions underlying their effects are still not fully understood. Similarly…
View article: Shannon invariants: A scalable approach to information decomposition
Shannon invariants: A scalable approach to information decomposition Open
Distributed systems, such as biological and artificial neural networks, process information via complex interactions engaging multiple subsystems, resulting in high-order patterns with distinct properties across scales. Investigating how t…
View article: An engine for systematic discovery of cause-effect relationships between brain structure and function
An engine for systematic discovery of cause-effect relationships between brain structure and function Open
Characterising how perturbations of brain architecture influence brain function is essential to understand the origins of brain dysfunction, and devise potential avenues of treatment. Here we introduce a computational engine for systematic…
View article: Multiscale synchronisation dynamics reveals the impact of an improvisatory approach to performance on music experience
Multiscale synchronisation dynamics reveals the impact of an improvisatory approach to performance on music experience Open
Experiences of collective creative activities play an essential role in human societies, yet these experiences are particularly hard to capture, making their scientific study challenging. In a classical music concert-experiment performed b…
View article: Brain structural modules associated to functional high-order interactions in the human brain
Brain structural modules associated to functional high-order interactions in the human brain Open
The brain’s modular organization, ranging from microcircuits to large-scale networks, has been extensively studied in terms of its structural and functional properties. Particularly insightful has been the investigation of the coupling bet…
View article: The Neurobiological Complexity of Brain Dynamics: The Neurogliovascular Unit and its Relevance for Psychiatry
The Neurobiological Complexity of Brain Dynamics: The Neurogliovascular Unit and its Relevance for Psychiatry Open
Modern neuroscience understands the brain as a complex system whose functional properties are determined by the myriads of interactions of its cellular components. In the difficult route to obtain better understanding of this organ, mathem…
View article: A Taxonomy of Neuroscientific Strategies Based on Interaction Orders
A Taxonomy of Neuroscientific Strategies Based on Interaction Orders Open
In recent decades, neuroscience has advanced with increasingly sophisticated strategies for recording and analysing brain activity, enabling detailed investigations into the roles of functional units, such as individual neurons, brain regi…
View article: Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation
Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation Open
Transcranial ultrasound stimulation (TUS) is an emerging non-invasive neuromodulation technique, offering a potential alternative to pharmacological treatments for psychiatric and neurological disorders. While functional analysis has been …
View article: Introducing the MusicLab Copenhagen Dataset
Introducing the MusicLab Copenhagen Dataset Open
MusicLab Copenhagen was a unique research concert featuring the world-renowned Danish String Quartet in a naturalistic setting. The audience was split between one group physically located in the hall, another group listening to a radio bro…
View article: Meditation and complexity: a review and synthesis of evidence
Meditation and complexity: a review and synthesis of evidence Open
Recent years have seen growing interest in the use of metrics inspired by complexity science for the study of consciousness. Work in this field has shown remarkable results in discerning conscious from unconscious states, and in characteri…
View article: Biological arrow of time: emergence of tangled information hierarchies and self-modelling dynamics
Biological arrow of time: emergence of tangled information hierarchies and self-modelling dynamics Open
We study open-ended evolution by focusing on computational and information-processing dynamics underlying major evolutionary transitions. In doing so, we consider biological organisms as hierarchical dynamical systems that generate regular…
View article: Competitive interactions shape brain dynamics and computation across species
Competitive interactions shape brain dynamics and computation across species Open
Adaptive cognition relies on cooperation across anatomically distributed brain circuits. However, specialised neural systems are also in constant competition for limited processing resources. How does the brain's network architecture enabl…
View article: Null models for comparing information decomposition across complex systems
Null models for comparing information decomposition across complex systems Open
A key feature of information theory is its universality, as it can be applied to study a broad variety of complex systems. However, many information-theoretic measures can vary significantly even across systems with similar properties, mak…
View article: Characterising high-order interdependence via entropic conjugation
Characterising high-order interdependence via entropic conjugation Open
High-order phenomena play crucial roles in many systems of interest, but their analysis is often highly nontrivial. There is a rich literature providing a number of alternative information-theoretic quantities capturing high-order phenomen…
View article: The Fast Möbius Transform: An algebraic approach to information decomposition
The Fast Möbius Transform: An algebraic approach to information decomposition Open
The partial information decomposition (PID) and its extension integrated information decomposition ($Φ$ID) are promising frameworks to investigate information phenomena involving multiple variables. An important limitation of these approac…
View article: Autonomic nervous system activity correlates with peak experiences induced by DMT and predicts increases in well-being
Autonomic nervous system activity correlates with peak experiences induced by DMT and predicts increases in well-being Open
Background: Non-ordinary states of consciousness induced by psychedelics can be accompanied by so-called “peak experiences,” characterized at the emotional level by their intensity and positive valence. These experiences are strong predict…