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

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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Brain-state classification and a dual-state decoder dramatically improve the control of cursor movement through a brain-machine interface

By Sachs Nicholas A   Ruiz-Torres Ricardo   Perreault Eric J   Miller Lee E  

Journal of Neural Engineering, Vol. 13, Iss. 1, 2016-02 ,pp. : 16009-16020

IOP Publishing

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Ten-dimensional anthropomorphic arm control in a human brain−machine interface: difficulties, solutions, and limitations

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Journal of Neural Engineering, Vol. 12, Iss. 1, 2015-02 ,pp. : 16011-16027

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Subject-specific modulation of local field potential spectral power during brain–machine interface control in primates

By So Kelvin   Dangi Siddharth   Orsborn Amy L   Gastpar Michael C   Carmena Jose M  

Journal of Neural Engineering, Vol. 11, Iss. 2, 2014-04 ,pp. : 26002-26013

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