Together, we are developing a brain-computer-interface (BCI) to non-invasively decode electrical signals into precise control signals using Deep Learning architectures.
Our interdisciplinary and diverse team comprises chemical, electrical, mechanical and neural engineering students as well as computer science and robotics students from 12 nationalities.
We are neuroTUM, a student-run association focused on developing neurotechnology to educate and connect students. Our first project is the development of a brain-computer interface (BCI) to help tetraplegic individuals regain independence. In the future, our technology aims to analyze brain activity, to interpret intentions and enable control of wheelchairs or translation of thoughts into speech.
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