About: Fabrizio De Vico Fallani

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An Entity of Type : foaf:Person, within Data Space : data.idref.fr associated with source document(s)

Attributes	Values
type	Person
sameAs	De Vico Fallani, Fabrizio (19..-....) De Vico Fallani, Fabrizio (19..-....) De Vico Fallani, Fabrizio (19..-....) De Vico Fallani, Fabrizio (19..-....)
alternative label	Fallani, Fabrizio De Vico Vico Fallani, Fabrizio De
Life Event	http://www.idref.fr/186412215/birth
preferred label	De Vico Fallani, Fabrizio (19..-....)
name	Fabrizio De Vico Fallani
dbpedia-owl:citizenship	http://sws.geonames.org/3175395/
Language	http://lexvo.org/id/iso639-3/eng
isni:identifierValid	0000000077897187
Given name	Fabrizio
familyName	De Vico Fallani
has biographical i...tion (Deprecated)	Directeur de recherche INRIA, en poste à l'Institut du Cerveau (Paris Brain Institute), Sorbonne Université (en 2023) Directeur d'une thèse en Sciences et technologies de l'information et de la communication soutenue à Sorbonne Université en 2023
gender	male
ORCID iD	0000-0001-8035-7883
ISI Researcher ID	120556931
Scopus ID	23388121000
is sameAs of	De Vico Fallani, Fabrizio (19..-....) De Vico Fallani, Fabrizio (19..-....) De Vico Fallani, Fabrizio (19..-....)
is Thesis advisor of	http://www.sudoc.fr/244942838/id http://www.sudoc.fr/258212322/id http://www.sudoc.fr/275619478/id http://www.sudoc.fr/254226817/id http://www.sudoc.fr/272872075/id http://www.sudoc.fr/262656507/id http://www.sudoc.fr/267413971/id http://www.sudoc.fr/248701908/id http://www.sudoc.fr/273577565/id http://www.sudoc.fr/275940993/id http://www.sudoc.fr/275058298/id
is Praeses of	http://www.sudoc.fr/268706905/id
is Author of	Combination of connectivity and spectral features for motor-imagery BCI Integrating EEG and MEG information to enhance motor-imagery classification in brain-computer interface Identification of Driver Nodes in Genetic Networks Regulating Macrophage Activation Towards the use of spatial network metrics for characterizing brain mental states Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain–Computer Interface Looking for cortical patterns of successful motor imagery-based BCI learning Target controllability in genetic networks of macrophage activation Spatial network metrics for characterizing brain-computer interface mental states Nonparametric resampling of random walks for spectral network clustering. A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson's disease EEG evidence of compensatory mechanisms in preclinical Alzheimer’s disease Looking for neurophysiological correlates of brain-computer interface learning Multiplex core–periphery organization of the human connectome https://archive-ouverte.unige.ch/unige:44736#id Identification of driver nodes in genetic networks regulating macrophage activation Functional disconnection of associative cortical areas predicts performance during BCI training Surrogate-Based Artifact Removal From Single-Channel EEG Brainhack: Developing a culture of open, inclusive, community-driven neuroscience Functional connectivity predicts MI-based BCI learning (oral presentation) Improving J-Divergence of Brain Connectivity States by Graph Laplacian Denoising Measuring Neuronal Avalanches to inform Brain-Computer Interfaces Riemannian geometry for combining functional connectivity metrics and covariance in BCI Graph analysis of functional brain networks: practical issues in translational neuroscience https://hal.archives-ouvertes.fr/hal-03139216#id Quality Assessment of Single-Channel EEG for Wearable Devices Towards multimodal BCIs: the impact of peripheral control on motor cortex activity and sense of agency Human brain distinctiveness based on EEG spectral coherence connectivity. Step-wise target controllability identifies dysregulated pathways of macrophage networks in multiple sclerosis Core-periphery markers of longitudinal BCI from multiplex brain networks Functional Connectivity for BCI: OpenViBE implementation Network neuroscience for optimizing brain–computer interfaces Multiscale topological properties of functional brain networks during motor imagery after stroke Informing motor imagery-based brain-computer interface via neuronal avalanches A Topological Criterion for Filtering Information in Complex Brain Networks Network-based brain computer interfaces: principles and applications Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend Green Compressive Sampling Reconstruction in IoT Networks Conciliation of process description and molecular interaction networks using logical properties of ontology Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior Disrupted core-periphery structure of multimodal brain networks in Alzheimer’s disease A machine learning approach to screen for preclinical Alzheimer's disease Ensemble of Riemannian classifiers for multimodal data: FUCONE approach for M/EEG data Loss of brain inter-frequency hubs in Alzheimer's disease. M/EEG integration to enhance motor-imagery-based brain-computer interface performances Characterization of Mental States through Node Connectivity between Brain Signals Role of inter-hemispheric connections in functional brain networks A step-wise criterion to determine target control centrality in the aging brain network On the classification of mental states by means of network-based features Temporal metrics for exponential random graph models of time-evolving networks M/EEG networks integration to elicit patterns of motor imagery-based BCI training Conciliation of medicine systems disease maps and other molecular interaction networks using logical properties of ontology BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks Multiscale modeling of brain network organization A Joint Markov Model for Communities, Connectivity and Signals Defined Over Graphs Functional connectivity ensemble method to enhance BCI performance (FUCONE) Phase/Amplitude Synchronization of Brain Signals During Motor Imagery BCI Tasks Node accessibility in cortical networks during motor tasks. Ensemble of Riemannian Classifiers for Multimodal Data: FUCONE Approach for M/EEG Data Amyloidosis and neurodegeneration result in distinct structural connectivity patterns in mild cognitive impairment Using critical dynamics to capture processes underlying Brain-Computer Interface performance Exploiting brain critical dynamics to inform Brain-Computer Interfaces Functional connectivity predicts MI-based BCI learning Community structure in large-scale cortical networks during motor acts. The impact of aging on human brain network target controllability

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