Daniele Marinazzo

Orcid: 0000-0002-9803-0122

According to our database1, Daniele Marinazzo authored at least 82 papers between 2006 and 2024.

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Bibliography

2024
Reliable measurement of auditory-driven gamma synchrony with a single EEG electrode: A simultaneous EEG-MEG study.
NeuroImage, 2024

HOI: A Python toolbox for high-performance estimation of Higher-Order Interactions from multivariate data.
J. Open Source Softw., 2024

Intra-V1 functional networks and classification of observed stimuli.
Frontiers Neuroinformatics, 2024

Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition.
CoRR, 2024

Large language models surpass human experts in predicting neuroscience results.
CoRR, 2024

2023
The impact of ROI extraction method for MEG connectivity estimation: Practical recommendations for the study of resting state data.
NeuroImage, December, 2023

Task matters: Individual MEG signatures from naturalistic and neurophysiological brain states.
NeuroImage, May, 2023

brainlife.io: A decentralized and open source cloud platform to support neuroscience research.
CoRR, 2023

Fuzzy deconvolution of neuronal events in Functional Magnetic Resonance Imaging.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Investigating Dynamic High-Order Interactions in Physiological Networks through Predictive Information Decomposition.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex.
PLoS Comput. Biol., December, 2022

A New Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Networks of Random Processes.
IEEE Trans. Signal Process., 2022

Auditory driven gamma synchrony is associated with cortical thickness in widespread cortical areas.
NeuroImage, 2022

Brain simulation as a cloud service: The Virtual Brain on EBRAINS.
NeuroImage, 2022

Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance.
CoRR, 2022

Cognitive modelling with multilayer networks: Insights, advancements and future challenges.
CoRR, 2022

Gradients of O-information: low-order descriptors of high-order dependencies.
CoRR, 2022

Disentangling high-order mechanisms and high-order behaviours in complex systems.
CoRR, 2022

Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Quantifying High-Order Interactions in Complex Physiological Networks: A Frequency-Specific Approach.
Proceedings of the Complex Networks and Their Applications XI, 2022

2021
rsHRF: A toolbox for resting-state HRF estimation and deconvolution.
NeuroImage, 2021

How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness.
NeuroImage, 2021

Brain Modelling as a Service: The Virtual Brain on EBRAINS.
CoRR, 2021

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition.
IEEE Access, 2021

2020
Objects seen as scenes: Neural circuitry for attending whole or parts.
NeuroImage, 2020

Effective connectivity modulations related to win and loss outcomes.
NeuroImage, 2020

Disambiguating the role of blood flow and global signal with partial information decomposition.
NeuroImage, 2020

The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI.
NeuroImage, 2020

Modeling brain dynamics after tumor resection using The Virtual Brain.
NeuroImage, 2020

Synergistic Information Transfer in the Global System of Financial Markets.
Entropy, 2020

Beyond pairwise network similarity: exploring Mediation and Suppression between networks.
CoRR, 2020

PRINCIPIA: a Decentralized Peer-Review Ecosystem.
CoRR, 2020

Inclusion of Instantaneous Influences in the Spectral Decomposition of Causality: Application to the Control Mechanisms of Heart Rate Variability.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Electrophysiological Brain Connectivity: Theory and Implementation.
IEEE Trans. Biomed. Eng., 2019

Modulation of the spontaneous hemodynamic response function across levels of consciousness.
NeuroImage, 2019

Dynamic causal modelling of fluctuating connectivity in resting-state EEG.
NeuroImage, 2019

Information decomposition of multichannel EMG to map functional interactions in the distributed motor system.
NeuroImage, 2019

Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress.
Entropy, 2019

2018
Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study.
NeuroImage, 2018

Dilution of Ferromagnets via a Random Graph-Based Strategy.
Complex., 2018

Do Not Disturb: Psychophysiological Correlates of Boredom, Flow and Frustration During VR Gaming.
Proceedings of the Augmented Cognition: Intelligent Technologies, 2018

Functional Connectivity Hubs and Thalamic Hemodynamics in Rolandic Epilepsy.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
Dynamic causal modelling of seizure activity in a rat model.
NeuroImage, 2017

Mapping the functional connectome traits of levels of consciousness.
NeuroImage, 2017

Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes.
Entropy, 2017

Tracking Dynamic Interactions Between Structural and Functional Connectivity: A TMS/EEG-dMRI Study.
Brain Connect., 2017

Multiscale Granger causality analysis by à trous wavelet transform.
Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017

2016
Synergetic and Redundant Information Flow Detected by Unnormalized Granger Causality: Application to Resting State fMRI.
IEEE Trans. Biomed. Eng., 2016

An Information-Theoretic Framework to Map the Spatiotemporal Dynamics of the Scalp Electroencephalogram.
IEEE Trans. Biomed. Eng., 2016

Multiscale analysis of information dynamics for linear multivariate processes.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.
Neural Networks, 2015

Tracking slow modulations in synaptic gain using dynamic causal modelling: Validation in epilepsy.
NeuroImage, 2015

Resting-State Functional Connectivity of the Sensorimotor Network in Individuals with Nonspecific Low Back Pain and the Association with the Sit-to-Stand-to-Sit Task.
Brain Connect., 2015

Information Flow Between Resting-State Networks.
Brain Connect., 2015

Functional Connectivity Density and Balance in Young Patients with Traumatic Axonal Injury.
Brain Connect., 2015

Retrieving the Hemodynamic Response Function in resting state fMRI: Methodology and application.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Synergy, redundancy and unnormalized Granger causality.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Investigating dynamical information transfer in the brain following a TMS pulse: Insights from structural architecture.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Information-Theoretic Assessment of Cardiovascular-Brain Networks during Sleep.
Proceedings of the Computing in Cardiology, 2015

2014
Lag-Specific Transfer Entropy as a Tool to Assess Cardiovascular and Cardiorespiratory Information Transfer.
IEEE Trans. Biomed. Eng., 2014

Editorial for the research topic: information-based methods for neuroimaging: analyzing structure, function and dynamics.
Frontiers Neuroinformatics, 2014

Synergy and redundancy in the Granger causal analysis of dynamical networks.
CoRR, 2014

Information dynamics in cardiorespiratory analyses: Application to controlled breathing.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.
Medical Image Anal., 2013

Recovering Directed Networks in Neuroimaging Datasets Using Partially Conditioned Granger Causality.
Brain Connect., 2013

Effective connectivity and cortical information flow under visual stimulation in migraine with aura.
Proceedings of the 5th IEEE International Workshop on Advances in Sensors and Interfaces, 2013

Comparing Model-free and Model-based Transfer Entropy Estimators in Cardiovascular Variability.
Proceedings of the Computing in Cardiology, 2013

Information Decomposition of Short-Term Cardiovascular and Cardiorespiratory Variability.
Proceedings of the Computing in Cardiology, 2013

2012
The effect of neural adaptation on population coding accuracy.
J. Comput. Neurosci., 2012

Information flow in a network model and the law of diminishing marginal returns
CoRR, 2012

Causal Information Approach to Partial Conditioning in Multivariate Data Sets.
Comput. Math. Methods Medicine, 2012

Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Expanding the transfer entropy to identify information subgraphs in complex systems.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Multiscale Causal Connectivity Analysis by Canonical Correlation: Theory and Application to Epileptic Brain.
IEEE Trans. Biomed. Eng., 2011

Nonlinear connectivity by Granger causality.
NeuroImage, 2011

Small-world directed networks in the human brain: Multivariate Granger causality analysis of resting-state fMRI.
NeuroImage, 2011

2009
Kernel Granger Causality Mapping Effective Connectivity on fMRI Data.
IEEE Trans. Medical Imaging, 2009

2008
Semi-supervised learning by search of optimal target vector.
Pattern Recognit. Lett., 2008

2007
Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses.
Neural Comput., 2007

Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series.
Artif. Intell. Medicine, 2007

Causality and communities in neural networks.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Nonlinear parametric model for Granger causality of time series
CoRR, 2006


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