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Brain Computer Interfaces

Fine motor skills for robotic hands

Göttingen neuroscientists can predict grip movements of the hand by measuring brain cell activity (January 2015).

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Power of mind: paralyzed people control a computer

Berlin researchers report that communication via brain waves can be faster and more reliable than assistive technologies based on muscular activity (September 2014).

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Potential aid for stroke victims

Tübingen study shows electrical stimulation helps patients learning to use a brain-controlled robot arm (March 2014).

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Hearing with light

An international research team led by Göttingen develops a cochlear implant that uses light signals to stimulate the inner ear (March 2014).

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Driven by ear muscles

Scientists from Göttingen, Heidelberg and Karlsruhe present an innovative human-machine interface that works over ear muscles (November 2013).

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