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Osvaldo Matías Velarde

Observed names: Osvaldo M. Velarde, Osvaldo Matias Velarde, Osvaldo Velarde, Velarde, Osvaldo M, Velarde, Osvaldo M., Velarde, Osvaldo Matias
Observed institutions: City College of New York, Memorial Sloan Kettering Cancer Center, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Cuyo, City University of New York, Balseiro Institute, Bariloche Atomic Centre, Comisión Nacional de Energía Atómica
ORCID: 0000-0002-7291-4018
Observed ORCID: 0000-0002-7291-4018
OpenAlex ID: A5085293802
Bifurcation structure determines different phase-amplitude coupling patterns in the activity of biologically plausible neural networks
2019 · Osvaldo Matías Velarde, Eugenio Urdapilleta, et al. · NeuroImage · 18
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Robustness of Deep Networks for Mammography: Replication Across Public Datasets
2024 · Osvaldo M. Velarde, Clarissa Lin, et al. · Journal of Imaging Informatics in Medicine · 16
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Wearable disposable electrotherapy
2025 · Mohamad FallahRad, Kyle Donnery, et al. · Nature Communications · 10
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Mechanisms for pattern specificity of deep-brain stimulation in Parkinson’s disease
2017 · Osvaldo Matías Velarde, Germán Mato, et al. · PLoS ONE · 10
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Two types of ictal phase-amplitude couplings in epilepsy patients revealed by spectral harmonicity of intracerebral EEG recordings
2020 · Damián Dellavale, Eugenio Urdapilleta, et al. · Clinical Neurophysiology · 9
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Complex interplay between spectral harmonicity and different types of cross-frequency couplings in nonlinear oscillators and biologically plausible neural network models
2020 · Damián Dellavale, Osvaldo Matías Velarde, et al. · Physical review. E · 5
Recurrent Joint Embedding Predictive Architecture with Recurrent Forward Propagation Learning
2024 · Velarde, Osvaldo M, Parra, Lucas C · arXiv (Cornell University) · 2
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The role of fibration symmetries in geometric deep learning
2026 · Osvaldo M. Velarde, Lucas C. Parra, et al. · Proceedings of the National Academy of Sciences · 1
Can multiparametric FDG-PET/MRI analysis really enhance the prediction of myocardial recovery after CTO revascularization? A machine learning study
2025 · Alberto Villagran Asiares, Teresa Vitadello, et al. · Zeitschrift für Medizinische Physik · 1
Architecture of the brain’s visual system enhances network stability and performance through layers, delays, and feedback
2023 · Osvaldo Matias Velarde, Hernán A. Makse, et al. · PLoS Computational Biology · 1
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On the complex interplay between spectral harmonicity and different types of cross frequency couplings in non linear oscillators and biologically plausible neural network models
2020 · Damián Dellavale, Osvaldo Matías Velarde, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 1
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Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks
2026 · Velarde, Osvaldo M, Parra, Lucas C, et al. · arXiv (Cornell University)
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M-Fibration Theory with Applications to Weighted Graphs
2026 · Boldi, Paolo, Velarde, Osvaldo M., et al. · arXiv (Cornell University)
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Full grid of threshold for fibration coloring - MLP
2026 · Velarde, Osvaldo Matias · Zenodo (CERN European Organization for Nuclear Research)
Independent evaluation of state-of-the-art deep networks for mammography
2022 · Velarde, Osvaldo Matias, Parra, Lucas · arXiv (Cornell University)
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Desarrollo de paradigmas de neuromodulación adaptativa para el tratamiento de trastornos motores
2020 · Osvaldo M. Velarde · RICABIB - Repositorio Institucional del Centro Atómico Bariloche
Characterization of cross frequency couplings produced by harmonic and non-harmonic frequency bands during seizure activity from intracerebral recordings in patients candidate to epilepsy surgery
2018 · Hector Damian Dellavale Clara, Eugenio Urdapilleta, et al.
Estudio de la dinámica de núcleos neuronales con aplicaciones al tratamiento de trastornos motores.
2015 · Osvaldo M. Velarde · RICABIB - Repositorio Institucional del Centro Atómico Bariloche
Works count: 18
Citation count: 74
H-index: 5
I10-index: 4
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