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Marcos Revilla Vallejo
Marcos Revilla Vallejo
Researcher, Biomedical Engineering Group. University of Valladolid
Verified email at gib.tel.uva.es
Title
Cited by
Cited by
Year
Consistency of local activation parameters at sensor-and source-level in neural signals
V Rodríguez-González, C Gómez, Y Shigihara, H Hoshi, M Revilla-Vallejo, ...
Journal of Neural Engineering 17 (5), 056020, 2020
182020
Exploring the Alterations in the Distribution of Neural Network Weights in Dementia Due to Alzheimer’s Disease
M Revilla-Vallejo, J Poza, J Gomez-Pilar, R Hornero, MÁ Tola-Arribas, ...
Entropy 23 (5), 500, 2021
52021
Quantification of the robustness of functional neural networks: application to the characterization of Alzheimer’s disease continuum
M Revilla-Vallejo, C Gómez, J Gomez-Pilar, R Hornero, MÁ Tola-Arribas, ...
Journal of Neural Engineering 20 (3), 036023, 2023
22023
Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer’s Disease Continuum
SJ Ruiz-Gómez, C Gómez, J Poza, M Revilla-Vallejo, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
12020
Evaluación de la robustez de la red neuronal funcional en la enfermedad de Alzheimer
M Revilla-Vallejo, C Gómez, J Gomez-Pilar, R Hornero, MA Tola-Arribas, ...
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Articles 1–5