[HTML][HTML] Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
Wiener–Granger causality in network physiology with applications to cardiovascular control and neuroscience
A Porta, L Faes - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
Since the operative definition given by CWJ Granger of an idea expressed by N. Wiener, the
Wiener-Granger causality (WGC) has been one of the most relevant concepts exploited by …
Wiener-Granger causality (WGC) has been one of the most relevant concepts exploited by …
[HTML][HTML] The new field of network physiology: building the human physiolome
PC Ivanov - Frontiers in network physiology, 2021 - frontiersin.org
The human organism comprises various physiological and organ systems, each with its own
structural organization and functional complexity, leading to complex, transient, fluctuating …
structural organization and functional complexity, leading to complex, transient, fluctuating …
[HTML][HTML] Network physiology: how organ systems dynamically interact
We systematically study how diverse physiologic systems in the human organism
dynamically interact and collectively behave to produce distinct physiologic states and …
dynamically interact and collectively behave to produce distinct physiologic states and …
Electrophysiological brain connectivity: theory and implementation
We review the theory and algorithms of electrophysiological brain connectivity analysis. This
tutorial is aimed at providing an introduction to brain functional connectivity from …
tutorial is aimed at providing an introduction to brain functional connectivity from …
Focus on the emerging new fields of network physiology and network medicine
Despite the vast progress and achievements in systems biology and integrative physiology
in the last decades, there is still a significant gap in understanding the mechanisms through …
in the last decades, there is still a significant gap in understanding the mechanisms through …
Causal recurrent variational autoencoder for medical time series generation
H Li, S Yu, J Principe - Proceedings of the AAAI conference on artificial …, 2023 - ojs.aaai.org
We propose causal recurrent variational autoencoder (CR-VAE), a novel generative model
that is able to learn a Granger causal graph from a multivariate time series x and …
that is able to learn a Granger causal graph from a multivariate time series x and …
Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems
AB Barrett - Physical Review E, 2015 - APS
To fully characterize the information that two source variables carry about a third target
variable, one must decompose the total information into redundant, unique, and synergistic …
variable, one must decompose the total information into redundant, unique, and synergistic …
[HTML][HTML] Information decomposition of target effects from multi-source interactions: Perspectives on previous, current and future work
The formulation of the Partial Information Decomposition (PID) framework by Williams and
Beer in 2010 attracted a significant amount of attention to the problem of defining redundant …
Beer in 2010 attracted a significant amount of attention to the problem of defining redundant …
[HTML][HTML] Multi-dimensional connectivity: a conceptual and mathematical review
The estimation of functional connectivity between regions of the brain, for example based on
statistical dependencies between the time series of activity in each region, has become …
statistical dependencies between the time series of activity in each region, has become …