Artificial neural networks and machine learning for man-machine-interfaces - processing of nervous signals
نویسندگان
چکیده
Recently, Man-Machine-Interfaces contacting the nervous system in order to extract information resp. to introduce information gain more and more in importance. In order to establish systems like neural prostheses or Brain-Computer-Interfaces, powerful (real time) algorithms for processing nerve signals or their field potentials are required. Another important point is the introduction of information into nervous systems by means like functional neuroelectrical stimulation (FNS). This paper gives a short introduction and reviews different approaches towards the development of Man-Machine-Interfaces using artificial neural networks respectively machine learning algorithms for signal processing.
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