Roberto C. Sotero

26 papers C 2Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Tunnelling Through Time Series: A Probabilistic Visibility Graph for Local and Global Pattern Discovery. CoRR Roberto C. Sotero, Jose Miguel Sanchez Bornot
2024	J	`jnl`	A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment. CoRR Alwani Liyana Ahmad, Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle, Zamzuri Idris, Ibrahima Faye
2024	—	`conf`	Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks. ICBEA Roberto C. Sotero, Jose Miguel Sanchez Bornot, Iman Shaharabi-Farahani
2024	J	`jnl`	Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models. NeuroImage Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Özgür Simsek, Damien Coyle
2024	J	`jnl`	Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines. CoRR Alwani Liyana Ahmad, Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle, Zamzuri Idris, Ibrahima Faye
2023	—	`conf`	Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis. ICASSP Workshops Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle
2023	—	`conf`	Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder. ICMHI Roberto C. Sotero, Jose Miguel Sanchez Bornot, Iman Shaharabi-Farahani, Yasser Iturria-Medina
2023	—	`conf`	Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks. CISP-BMEI Roberto C. Sotero, Jose Miguel Sanchez Bornot
2023	C	`conf`	Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks. IDEAL Roberto C. Sotero, Jose Miguel Sanchez Bornot
2023	C	`conf`	Machine Learning for Time Series Forecasting Using State Space Models. IDEAL Jose Miguel Sanchez Bornot, Roberto C. Sotero
2022	J	`jnl`	Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models. CoRR Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Damien Coyle
2021	J	`jnl`	Detecting brain network communities: Considering the role of information flow and its different temporal scales. NeuroImage Lazaro M. Sanchez-Rodriguez, Yasser Iturria-Medina, Pauline Mouches, Roberto C. Sotero
2020	J	`jnl`	What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
2019	J	`jnl`	Measuring transient phase-amplitude coupling using local mutual information. NeuroImage Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig
2018	J	`jnl`	Design of optimal nonlinear network controllers for Alzheimer's disease. PLoS Comput. Biol. Lazaro M. Sanchez-Rodriguez, Yasser Iturria-Medina, Erica A. Baines, Sabela C. Mallo, Mehdy Dousty, Roberto C. Sotero
2017	J	`jnl`	Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer's disease. NeuroImage Yasser Iturria-Medina, Felix Carbonell, Roberto C. Sotero, François Chouinard-Decorte, Alan C. Evans
2016	—	`conf`	Multifocus image fusion via the Hartley transform. CCECE Mehdy Dousty, Sabalan Daneshvar, Roberto C. Sotero
2016	J	`jnl`	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. Roberto C. Sotero
2014	J	`jnl`	Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders. PLoS Comput. Biol. Yasser Iturria-Medina, Roberto C. Sotero, Paule-Joanne Toussaint, Alan C. Evans
2012	J	`jnl`	Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state. J. Comput. Neurosci. Roberto C. Sotero, Amir Shmuel
2010	J	`jnl`	Dynamical Mean Field Model of a Neural-Glial Mass. Neural Comput. Roberto C. Sotero, Ramón Martínez-Cancino
2009	J	`jnl`	Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal. J. Comput. Neurosci. Roberto C. Sotero, Nelson J. Trujillo-Barreto, Juan C. Jiménez, Felix Carbonell, Rafael Rodriguez-Rojas
2008	J	`jnl`	Biophysical model for integrating neuronal activity, EEG, fMRI and metabolism. NeuroImage Roberto C. Sotero, Nelson J. Trujillo-Barreto
2008	J	`jnl`	Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory. NeuroImage Yasser Iturria-Medina, Roberto C. Sotero, Erick Jorge Canales-Rodríguez, Yasser Alemán-Gómez, Lester Melie-García
2007	J	`jnl`	Modelling the role of excitatory and inhibitory neuronal activity in the generation of the BOLD signal. NeuroImage Roberto C. Sotero, Nelson J. Trujillo-Barreto
2007	J	`jnl`	Realistically Coupled Neural Mass Models Can Generate EEG Rhythms. Neural Comput. Roberto C. Sotero, Nelson J. Trujillo-Barreto, Yasser Iturria-Medina, Felix Carbonell, Juan C. Jiménez