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Items: 6

1.

Evaluation of Teaching Signals for Motor Control in the Cerebellum during Real-World Robot Application.

Pinzon Morales RD, Hirata Y.

Brain Sci. 2016 Dec 20;6(4). pii: E62. doi: 10.3390/brainsci6040062.

2.

A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control.

Pinzon-Morales RD, Hirata Y.

Front Neural Circuits. 2015 May 1;9:18. doi: 10.3389/fncir.2015.00018. eCollection 2015.

3.

A bi-hemispheric neuronal network model of the cerebellum with spontaneous climbing fiber firing produces asymmetrical motor learning during robot control.

Pinzon-Morales RD, Hirata Y.

Front Neural Circuits. 2014 Nov 5;8:131. doi: 10.3389/fncir.2014.00131. eCollection 2014.

4.

Pattern recognition of surface EMG biological signals by means of Hilbert spectrum and fuzzy clustering.

Pinzon-Morales RD, Baquero-Duarte KA, Orozco-Gutierrez AA, Grisales-Palacio VH.

Adv Exp Med Biol. 2011;696:201-9. doi: 10.1007/978-1-4419-7046-6_20.

PMID:
21431560
5.

Towards high accuracy classification of MER signals for target localization in Parkinson's disease.

Pinzon-Morales RD, Orozco-Gutierrez AA, Carmona-Villada H, Castellanos CG.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:4040-3. doi: 10.1109/IEMBS.2010.5628014.

PMID:
21097288
6.

Automatic identification of various nuclei in the basal ganglia for Parkinson's disease neurosurgery.

Pinzon-Morales RD, Garces-Arboleda M, Orozco-Gutierrez AA.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:3473-6. doi: 10.1109/IEMBS.2009.5334611.

PMID:
19964989

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