Roberto C. Sotero
Orcid: 0000-0001-9640-2722
According to our database1,
Roberto C. Sotero
authored at least 27 papers
between 2007 and 2024.
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Bibliography
2024
Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models.
NeuroImage, January, 2024
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines.
CoRR, 2024
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment.
CoRR, 2024
Estimating the Excitatory-Inhibitory Balance from Electrocorticography Data using Physics-Informed Neural Networks.
Proceedings of the 11th International Conference on Bioinformatics Research and Applications, 2024
Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024
2023
Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023
Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023
Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 16th International Congress on Image and Signal Processing, 2023
2022
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models.
CoRR, 2022
2021
Detecting brain network communities: Considering the role of information flow and its different temporal scales.
NeuroImage, 2021
2020
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?
Entropy, 2020
2019
NeuroImage, 2019
2018
PLoS Comput. Biol., 2018
2017
Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer's disease.
NeuroImage, 2017
2016
Topology, Cross-Frequency, and Same-Frequency Band Interactions Shape the Generation of Phase-Amplitude Coupling in a Neural Mass Model of a Cortical Column.
PLoS Comput. Biol., 2016
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016
2014
Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders.
PLoS Comput. Biol., 2014
2012
Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state.
J. Comput. Neurosci., 2012
2010
2009
Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal.
J. Comput. Neurosci., 2009
2008
NeuroImage, 2008
Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory.
NeuroImage, 2008
2007
Modelling the role of excitatory and inhibitory neuronal activity in the generation of the BOLD signal.
NeuroImage, 2007
Neural Comput., 2007