Non-invasive Decoding of the Motoneurons: A Guided Source Separation Method Based on Convolution Kernel Compensation With Clustered Initial Points-Reference-Cited by-同舟云学术

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Non-invasive Decoding of the Motoneurons: A Guided Source Separation Method Based on Convolution Kernel Compensation With Clustered Initial Points

Published:2019-04-02 Issue: Volume:13 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Mohebian Mohammad Reza,Marateb Hamid Reza,Karimimehr Saeed,Mañanas Miquel Angel,Kranjec Jernej,Holobar Ales

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference106 articles.

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3. Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking;Artoni;Neuroimage,2017

4. Fuzzy logic-based spike sorting system;Balasubramanian;J. Neurosci. Methods,2011

5. Introduction to Nonlinear Optimization

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