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Ruben-Dario Pinzon-Morales
Ruben-Dario Pinzon-Morales
Department of Computer Science, Chubu University
Bestätigte E-Mail-Adresse bei ieee.org
Titel
Zitiert von
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CARACTERIZACIÓN DE SEÑALES ELECTROMIOGRÁFICAS PARA LA DISCRIMINACIÓN DE SEIS MOVIMIENTOS DE LA MANO
RD PINZON-MORALES, DÁ MORALES, VH GRISALES
Scientia Et Technica 15 (42), 278-283, 2009
21*2009
Automatic identification of various nuclei in the basal ganglia for Parkinson's disease neurosurgery
RD Pinzon-Morales, M Garces-Arboleda, AA Orozco-Gutierrez
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
192009
Novel signal-dependent filter bank method for identification of multiple basal ganglia nuclei in Parkinsonian patients
RD Pinzon-Morales, AA Orozco-Gutierrez, G Castellanos-Dominguez
Journal of Neural Engineering 8 (3), 036026, 2011
142011
Towards high accuracy classification of MER signals for target localization in Parkinson's disease
RD Pinzon-Morales, AA Orozco-Gutierrez, H Carmona-Villada, ...
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
142010
A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control
RD Pinzon-Morales, Y Hirata
Frontiers in neural circuits 9, 18, 2015
112015
Customization of wavelet function for pupil fluctuation analysis to evaluate levels of sleepiness
RD Pinzon-Morales, Y Hirata
Journal of Communication and Computer 10, 585-592, 2013
112013
Pattern recognition of surface EMG biological signals by means of hilbert spectrum and fuzzy clustering
RD Pinzon-Morales, KA Baquero-Duarte, AA Orozco-Gutierrez, ...
Software Tools and Algorithms for Biological Systems, 201-209, 2011
102011
A bi-hemispheric neuronal network model of the cerebellum with spontaneous climbing fiber firing produces asymmetrical motor learning during robot control
RD Pinzon-Morales, Y Hirata
Frontiers in neural circuits 8, 131, 2014
82014
Cerebellar-inspired bi-hemispheric neural network for adaptive control of an unstable robot
RD Pinzon-Morales, Y Hirata
2013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics …, 2013
72013
Feature selection using an ensemble of optimal wavelet packet and learning machine: Application to MER signals
RD Pinzon-Morales, AA Orozco-Gutierrez, CG Castellanos-Domínguez
2010 7th International Symposium on Communication Systems, Networks …, 2010
72010
A portable stand-alone bi-hemispherical neuronal network model of the cerebellum for adaptive robot control
RD Pinzon-Morales, Y Hirata
2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014 …, 2014
62014
EEG rhythm extraction based on relevance analysis and customized wavelet transform
L Duque-Muñoz, RD Pinzon-Morales, G Castellanos-Dominguez
Artificial Computation in Biology and Medicine: International Work …, 2015
52015
Bi-hemispherical neuronal network of the cerebellum with realistic climbing fiber reproduces asymmetrical motor learning during robot control
R Pinzon-Morales, Y Hirata
Front. Neural Circuits 8 (131), 2014
52014
Evaluation of teaching signals for motor control in the cerebellum during real-world robot application
RD Pinzon Morales, Y Hirata
Brain sciences 6 (4), 62, 2016
32016
The number of granular cells in a cerebellar neuronal network model engaged during robot control increases with the complexity of the motor task
RD Pinzon-Morales, Y Hirata
BMC Neuroscience 15 (Suppl 1), P143, 2014
32014
Adaptive control of 2-wheeled balancing robot by two hemispheric cerebellar neuronal network model
RD Pinzon-Morales, Y Ohata, Y Hirata
BMC Neuroscience 13 (Suppl 1), P118, 2012
22012
Spontaneous firing activity in climbing fiber is critical for a realistic bi-hemispherical cerebellar neuronal network during robot control
RD Pinzon-Morales, Y Hirata
BMC Neuroscience 15 (Suppl 1), P142, 2014
12014
EEG seizure identification by using optimized wavelet decomposition
RD Pinzon-Morales, A Orozco-Gutierrez, G Castellanos-Dominguez
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
12011
Brain-inspired algorithms to approach engineering applications and conversely to study the brain-the Basal Ganglia and the Cerebellum
P Morales
中部大学, 2015
2015
Computational methods inspired on the brain to approach engineering applications and conversely to foster the understanding of the brain: the Basal Ganglia and the Cerebellum.
RDP Morales
2014
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