Ruben-Dario Pinzon-Morales
Ruben-Dario Pinzon-Morales
Department of Computer Science, Chubu University
Verified email at ieee.org
Title
Cited by
Cited by
Year
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
152009
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
15*2009
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
132011
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
132010
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
72015
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
72014
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
72013
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
72011
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
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
62013
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
EEG Rhythm extraction based on relevance analysis and customized wavelet transform
L Duque-Muñoz, RD Pinzon-Morales, G Castellanos-Dominguez
International Work-Conference on the Interplay Between Natural and …, 2015
42015
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 (1), 1-2, 2014
32014
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
22016
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
22014
Adaptive control of 2-wheeled balancing robot by two hemispheric cerebellar neuronal network model
RD Pinzon-Morales, Y Ohata, Y Hirata
BMC neuroscience 13 (1), 1-2, 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 (1), 1-2, 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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Articles 1–20