Roberto C. Sotero

According to our database, Roberto C. Sotero authored at least 23 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models.

Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Özgür Simsek, Damien Coyle

NeuroImage, January, 2024

2023

Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks.

Roberto C. Sotero, Jose Miguel Sanchez Bornot

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Machine Learning for Time Series Forecasting Using State Space Models.

Jose Miguel Sanchez Bornot, Roberto C. Sotero

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.

Roberto C. Sotero, Jose Miguel Sanchez Bornot, Iman Shaharabi-Farahani, Yasser Iturria-Medina

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.

Roberto Carlos Sotero, Jose Miguel Sanchez Bornot, Yasser Iturria-Medina

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.

Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle

Proceedings of the IEEE International Conference on Acoustics, 2023

Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks.

Roberto C. Sotero, Jose Miguel Sanchez Bornot

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.

Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Damien Coyle

CoRR, 2022

2021

Detecting brain network communities: Considering the role of information flow and its different temporal scales.

Lazaro M. Sanchez-Rodriguez, Yasser Iturria-Medina, Pauline Mouches, Roberto C. Sotero

NeuroImage, 2021

2020

What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals?

Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig

Entropy, 2020

2019

Measuring transient phase-amplitude coupling using local mutual information.

Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig

NeuroImage, 2019

2018

Design of optimal nonlinear network controllers for Alzheimer's disease.

Lazaro M. Sanchez-Rodriguez, Yasser Iturria-Medina, Erica A. Baines, Sabela C. Mallo, Mehdy Dousty, Roberto C. Sotero

PLoS Comput. Biol., 2018

2017

Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer's disease.

Yasser Iturria-Medina, Felix Carbonell, Roberto C. Sotero, François Chouinard-Decorte, Alan C. Evans

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.

Roberto C. Sotero

PLoS Comput. Biol., 2016

Multifocus image fusion via the Hartley transform.

Mehdy Dousty, Sabalan Daneshvar, Roberto C. Sotero

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.

Yasser Iturria-Medina, Roberto C. Sotero, Paule-Joanne Toussaint, Alan C. Evans

PLoS Comput. Biol., 2014

2012

Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state.

Roberto C. Sotero, Amir Shmuel

J. Comput. Neurosci., 2012

2010

Dynamical Mean Field Model of a Neural-Glial Mass.

Roberto C. Sotero, Ramón Martínez-Cancino

Neural Comput., 2010

2009

Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal.

Roberto C. Sotero, Nelson J. Trujillo-Barreto, Juan C. Jiménez, Felix Carbonell, Rafael Rodriguez-Rojas

J. Comput. Neurosci., 2009

2008

Biophysical model for integrating neuronal activity, EEG, fMRI and metabolism.

Roberto C. Sotero, Nelson J. Trujillo-Barreto

NeuroImage, 2008

Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory.

Yasser Iturria-Medina, Roberto C. Sotero, Erick Jorge Canales-Rodríguez, Yasser Alemán-Gómez, Lester Melie-García

NeuroImage, 2008

2007

Modelling the role of excitatory and inhibitory neuronal activity in the generation of the BOLD signal.

Roberto C. Sotero, Nelson J. Trujillo-Barreto

NeuroImage, 2007

Realistically Coupled Neural Mass Models Can Generate EEG Rhythms.

Roberto C. Sotero, Nelson J. Trujillo-Barreto, Yasser Iturria-Medina, Felix Carbonell, Juan C. Jiménez

Neural Comput., 2007