This book introduces a unified framework that integrates various data-driven information dynamics approaches to quantify node-specific, pairwise, and high-order interactions within complex systems in the contexts of network neuroscience and network physiology. Using measures of information rate, a hierarchical organization of interactions is established to describe the dynamics of individual nodes, connections between pairs, and redundant or synergistic relationships among groups of nodes. Initially defined in the time domain, these measures are extended to the spectral domain, enabling frequency-specific analysis under the Gaussian assumption and linear parametric models. The framework is validated on simulated network systems and applied to real-world multivariate time series in neuroscience and physiology. The spectral high-order information measures successfully reveal respiratory-driven redundancy in cardiovascular, cardiorespiratory, and cerebrovascular systems, and uncover a predominance of redundancy in high-order brain interactions, alongside the emergence of synergistic circuits not captured by pairwise analysis. These results emphasize the importance of high-order, frequency-resolved information measures in characterizing complex network dynamics and provide new insights into the coordinated functioning of physiological and neural systems.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces a unified framework that integrates various data-driven information dynamics approaches to quantify node-specific, pairwise, and high-order interactions within complex systems in the contexts of network neuroscience and network physiology. Using measures of information rate, a hierarchical organization of interactions is established to describe the dynamics of individual nodes, connections between pairs, and redundant or synergistic relationships among groups of nodes. Initially defined in the time domain, these measures are extended to the spectral domain, enabling frequency-specific analysis under the Gaussian assumption and linear parametric models. The framework is validated on simulated network systems and applied to real-world multivariate time series in neuroscience and physiology. The spectral high-order information measures successfully reveal respiratory-driven redundancy in cardiovascular, cardiorespiratory, and cerebrovascular systems, and uncover a predominance of redundancy in high-order brain interactions, alongside the emergence of synergistic circuits not captured by pairwise analysis. These results emphasize the importance of high-order, frequency-resolved information measures in characterizing complex network dynamics and provide new insights into the coordinated functioning of physiological and neural systems. 243 pp. Englisch. N° de réf. du vendeur 9783032054159
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Buch. Etat : Neu. Spectral Information Dynamics in Network Neuroscience and Physiology | Laura Sparacino | Buch | xvi | Englisch | 2026 | Springer | EAN 9783032054159 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 134503483
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces a unified framework that integrates various data-driven information dynamics approaches to quantify node-specific, pairwise, and high-order interactions within complex systems in the contexts of network neuroscience and network physiology. Using measures of information rate, a hierarchical organization of interactions is established to describe the dynamics of individual nodes, connections between pairs, and redundant or synergistic relationships among groups of nodes. Initially defined in the time domain, these measures are extended to the spectral domain, enabling frequency-specific analysis under the Gaussian assumption and linear parametric models. The framework is validated on simulated network systems and applied to real-world multivariate time series in neuroscience and physiology. The spectral high-order information measures successfully reveal respiratory-driven redundancy in cardiovascular, cardiorespiratory, and cerebrovascular systems, and uncover a predominance of redundancy in high-order brain interactions, alongside the emergence of synergistic circuits not captured by pairwise analysis. These results emphasize the importance of high-order, frequency-resolved information measures in characterizing complex network dynamics and provide new insights into the coordinated functioning of physiological and neural systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch. N° de réf. du vendeur 9783032054159
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces a unified framework that integrates various data-driven information dynamics approaches to quantify node-specific, pairwise, and high-order interactions within complex systems in the contexts of network neuroscience and network physiology. Using measures of information rate, a hierarchical organization of interactions is established to describe the dynamics of individual nodes, connections between pairs, and redundant or synergistic relationships among groups of nodes. Initially defined in the time domain, these measures are extended to the spectral domain, enabling frequency-specific analysis under the Gaussian assumption and linear parametric models. The framework is validated on simulated network systems and applied to real-world multivariate time series in neuroscience and physiology. The spectral high-order information measures successfully reveal respiratory-driven redundancy in cardiovascular, cardiorespiratory, and cerebrovascular systems, and uncover a predominance of redundancy in high-order brain interactions, alongside the emergence of synergistic circuits not captured by pairwise analysis. These results emphasize the importance of high-order, frequency-resolved information measures in characterizing complex network dynamics and provide new insights into the coordinated functioning of physiological and neural systems. N° de réf. du vendeur 9783032054159
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