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Victor Rodríguez-González

University of Valladolid

8 C/Plaza de Santa Cruz

Valladolid, 47002

Spain

  • University of Valladolid

SCHOLARLY PAPERS

2

DOWNLOADS

243

TOTAL CITATIONS

2

Scholarly Papers (2)

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1.

A Hybrid Machine Learning and Mechanistic Modelling Approach for Probing Potential Biomarkers of Excitation/Inhibition Imbalance in Cortical Circuits in Dementia

Number of pages: 21 Posted: 15 Oct 2024
Juan Miguel García, Alejandro Orozco Valero, Victor Rodríguez-González, Noemi Montobbio, Francisco Pelayo, Christian Morillas, Jesus Poza Crespo, Carlos Gomez Pena and Pablo Martínez-Cañada
University of Granada, University of Granada, University of Valladolid, University of Genoa, University of Granada, University of Granada, University of Valladolid, University of Valladolid and University of Granada
Downloads 134 (544,251)
Citation 2

Abstract:

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Machine-learning assisted simulation, Excitation/inhibition (E/I), Alzheimer's disease (AD), Frontotemporal dementia (FTD), biophysical modelling, spiking network model, ANN.

2.

Towards An Integrative and Interpretable Framework to Unveil the Neurophysiological Fingerprint of Alzheimer's Disease and Mild Cognitive Impairment: A Machine Learning-SHAP Approach

Number of pages: 16 Posted: 26 Feb 2025 Last Revised: 22 Apr 2025
Víctor Gutiérrez-de Pablo, María Herrero-Tudela, Marina Sandonís-Fernández, Jesus Poza Crespo, Aarón Maturana-Candelas, Victor Rodríguez-González, Miguel Ángel Tola-Arribas, Mónica Cano, Hideyuki Hoshi, Yoshihito Shigihara, Roberto Hornero and Carlos Gomez Pena
University of Valladolid - ETSI Telecomunicación, University of Valladolid, University of Valladolid, University of Valladolid, University of Valladolid, University of Valladolid, Hospital Universitario Río Hortega, Hospital Universitario Río Hortega, Hokuto Hospital, Hokuto Hospital, University of Valladolid and University of Valladolid
Downloads 109 (645,052)

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Alzheimer's Disease, Mild Cognitive Impairment, Machine Learning, SHAP, Magnetoencephalography, Electroencephalography, Neurophysiological Fingerprint