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Roberto C. Sotero
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2020 – today
- 2024
- [j15]Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Özgür Simsek, Damien Coyle:
Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models. NeuroImage 285: 120458 (2024) - [c9]Roberto C. Sotero, Jose Miguel Sanchez Bornot, Iman Shaharabi-Farahani:
Parameter Estimation in Brain Dynamics Models from Resting-State fMRI Data using Physics-Informed Neural Networks. ICBEA 2024: 73-79 - [c8]Roberto Carlos Sotero, Jose Miguel Sanchez Bornot:
Estimating the Excitatory-Inhibitory Balance from Electrocorticography Data using Physics-Informed Neural Networks. ICBRA 2024: 113-118 - [i3]Alwani Liyana Ahmad, Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle, Zamzuri Idris, Ibrahima Faye:
A Machine Learning Approach for Identifying Anatomical Biomarkers of Early Mild Cognitive Impairment. CoRR abs/2407.00040 (2024) - [i2]Alwani Liyana Ahmad, Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle, Zamzuri Idris, Ibrahima Faye:
Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines. CoRR abs/2408.04815 (2024) - 2023
- [c7]Roberto C. Sotero, Jose Miguel Sanchez Bornot:
Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks. CISP-BMEI 2023: 1-6 - [c6]Jose Miguel Sanchez Bornot, Roberto C. Sotero, Damien Coyle:
Dynamic Source Localization and Functional Connectivity Estimation With State-Space Models: Preliminary Feasibility Analysis. ICASSP Workshops 2023: 1-5 - [c5]Roberto Carlos Sotero, Jose Miguel Sanchez Bornot, Yasser Iturria-Medina:
Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection. ICBRA 2023: 41-47 - [c4]Roberto C. Sotero, Jose Miguel Sanchez Bornot, Iman Shaharabi-Farahani, Yasser Iturria-Medina:
Examining the Impact of fMRI Preprocessing Steps on Machine Learning-Based Classification of Autism Spectrum Disorder. ICMHI 2023: 19-24 - [c3]Roberto C. Sotero, Jose Miguel Sanchez Bornot:
Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks. IDEAL 2023: 222-232 - [c2]Jose Miguel Sanchez Bornot, Roberto C. Sotero:
Machine Learning for Time Series Forecasting Using State Space Models. IDEAL 2023: 470-482 - 2022
- [i1]Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Damien Coyle:
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models. CoRR abs/2208.12854 (2022) - 2021
- [j14]Lazaro M. Sanchez-Rodriguez, Yasser Iturria-Medina, Pauline Mouches, Roberto C. Sotero:
Detecting brain network communities: Considering the role of information flow and its different temporal scales. NeuroImage 225: 117431 (2021) - 2020
- [j13]Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig:
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy 22(11): 1262 (2020)
2010 – 2019
- 2019
- [j12]Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig:
Measuring transient phase-amplitude coupling using local mutual information. NeuroImage 185: 361-378 (2019) - 2018
- [j11]Lazaro M. Sanchez-Rodriguez, Yasser Iturria-Medina, Erica A. Baines, Sabela C. Mallo, Mehdy Dousty, Roberto C. Sotero:
Design of optimal nonlinear network controllers for Alzheimer's disease. PLoS Comput. Biol. 14(5) (2018) - 2017
- [j10]Yasser Iturria-Medina, Felix Carbonell, Roberto C. Sotero, François Chouinard-Decorte, Alan C. Evans:
Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer's disease. NeuroImage 152: 60-77 (2017) - 2016
- [j9]Roberto C. Sotero:
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. 12(11) (2016) - [c1]Mehdy Dousty, Sabalan Daneshvar, Roberto C. Sotero:
Multifocus image fusion via the Hartley transform. CCECE 2016: 1-5 - 2014
- [j8]Yasser Iturria-Medina, Roberto C. Sotero, Paule-Joanne Toussaint, Alan C. Evans:
Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders. PLoS Comput. Biol. 10(11) (2014) - 2012
- [j7]Roberto C. Sotero, Amir Shmuel:
Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state. J. Comput. Neurosci. 32(3): 563-576 (2012) - 2010
- [j6]Roberto C. Sotero, Ramón Martínez-Cancino:
Dynamical Mean Field Model of a Neural-Glial Mass. Neural Comput. 22(4): 969-997 (2010)
2000 – 2009
- 2009
- [j5]Roberto C. Sotero, Nelson J. Trujillo-Barreto, Juan C. Jiménez, Felix Carbonell, Rafael Rodriguez-Rojas:
Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal. J. Comput. Neurosci. 26(2): 251-269 (2009) - 2008
- [j4]Roberto C. Sotero, Nelson J. Trujillo-Barreto:
Biophysical model for integrating neuronal activity, EEG, fMRI and metabolism. NeuroImage 39(1): 290-309 (2008) - [j3]Yasser Iturria-Medina, Roberto C. Sotero, Erick Jorge Canales-Rodríguez, Yasser Alemán-Gómez, Lester Melie-García:
Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory. NeuroImage 40(3): 1064-1076 (2008) - 2007
- [j2]Roberto C. Sotero, Nelson J. Trujillo-Barreto, Yasser Iturria-Medina, Felix Carbonell, Juan C. Jiménez:
Realistically Coupled Neural Mass Models Can Generate EEG Rhythms. Neural Comput. 19(2): 478-512 (2007) - [j1]Roberto C. Sotero, Nelson J. Trujillo-Barreto:
Modelling the role of excitatory and inhibitory neuronal activity in the generation of the BOLD signal. NeuroImage 35(1): 149-165 (2007)
Coauthor Index
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