Monte Carlo point process estimation of electromyographic envelopes from motor cortical spikes for brain–machine interfaces

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Journal of Neural Engineering, Vol. 12, Iss. 6, 2015-12 ,pp. : 66014-66025

IOP Publishing

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Performance measurement for brain–computer or brain–machine interfaces: a tutorial

By Thompson David E   Quitadamo Lucia R   Mainardi Luca     Gao Shangkai   Kindermans Pieter-Jan   Simeral John D   Fazel-Rezai Reza   Matteucci Matteo   Falk Tiago H   Bianchi Luigi   Chestek Cynthia A   Huggins Jane E  

Journal of Neural Engineering, Vol. 11, Iss. 3, 2014-06 ,pp. : 35001-35012

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Direct Growth of Carbon Nanotubes on New High-Density 3D Pyramid-Shaped Microelectrode Arrays for Brain-Machine Interfaces

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Micromachines, Vol. 7, Iss. 9, 2016-09 ,pp. : 163-163

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Invasive brain–machine interfaces: a survey of paralyzed patients’ attitudes, knowledge and methods of information retrieval

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Journal of Neural Engineering, Vol. 12, Iss. 4, 2015-08 ,pp. : 43001-43008

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Improving brain-machine interface performance by decoding intended future movements

By Willett Francis R.   Suminski Aaron J.   Fagg Andrew H.   Hatsopoulos Nicholas G.  

Journal of Neural Engineering, Vol. 10, Iss. 2, 2013-04 ,pp. : 26011-26024

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