AIMC Journal:
Journal of neural engineering
Showing 241 to 244 of 244 articles
Augmenting intracortical brain-machine interface with neurally driven error detectors.
Journal of neural engineering
Dec 1, 2017
OBJECTIVE: Making mistakes is inevitable, but identifying them allows us to correct or adapt our behavior to improve future performance. Current brain-machine interfaces (BMIs) make errors that need to be explicitly corrected by the user, thereby con...
An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments.
Journal of neural engineering
Aug 1, 2017
OBJECTIVE: Many computer vision and robotic applications require the implementation of robust and efficient target-tracking algorithms on a moving platform. However, deployment of a real-time system is challenging, even with the computational power o...
Neuromorphic neural interfaces: from neurophysiological inspiration to biohybrid coupling with nervous systems.
Journal of neural engineering
Aug 1, 2017
OBJECTIVE: Computation in nervous systems operates with different computational primitives, and on different hardware, than traditional digital computation and is thus subjected to different constraints from its digital counterpart regarding the use ...
Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features.
Journal of neural engineering
Aug 1, 2017
OBJECTIVE: Biological and non-biological artifacts cause severe problems when dealing with electroencephalogram (EEG) recordings. Independent component analysis (ICA) is a widely used method for eliminating various artifacts from recordings. However,...
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