Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic (ECoG) Signals

Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic (ECoG) Signals

Brain-computer interfaces (BCIs) use brain signals to convey a user's intent. Some BCI approaches begin by decoding kinematic parameters of movements from brain signals, and then proceed to using these signals, in absence of movements, to allow a user to control an output. Recent results have...

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Bibliographic Details
Main Authors: Zuoguan eWang, qiang eji, Kai J Miller, Gerwin eSchalk
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-11-01
Series:Frontiers in Neuroscience
Subjects:
Brain Computer Interface
machine learning
Decoding Algorithm
Electrocorticographic
Finger Flexion
Prior Knowledge
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00127/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00127/full

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