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Computersteuerung mit dem Gehirn
Copyright: Astrid Eckert / TUM

A research team at the Technical University of Munich (TUM) is working on technology that could fundamentally change the lives of people with severe paralysis. At the core is an innovative brain-computer interface (BCI) that enables digital systems to be controlled solely by thoughts.

As part of the "Artificial Intelligence for Neuro Deficits" project, a microelectrode-based implant was placed in the 26-year-old Michael Mehringer, who has been paralyzed from the neck down since a motorcycle accident. This implant captures neural signals directly in the brain and translates them into digital commands using artificial intelligence.

In training sessions, Mehringer learns to imagine movements, such as extending an arm. AI algorithms analyze the resulting brain signals and recognize patterns associated with specific movement intentions. The goal is initially to control a cursor on a screen and prospectively even a robotic gripping arm.

The implantation of the electrodes took place during a multi-hour neurosurgical operation with the utmost precision. A total of four arrays, each with 64 microelectrodes, were placed in a brain area responsible for planning complex movements. According to the researchers, this is the first use of such technology for paraplegia in Europe.

New paths to self-determination

The project combines expertise from neurosurgery, neuroscience, robotics, and artificial intelligence, and is funded by the Federal Ministry of Education and Research. The aim is not only to gain new scientific insights into the brain but also to develop practical applications that offer affected individuals greater independence and quality of life.

The research impressively demonstrates how AI and neurotechnology can work together to enhance human capabilities—and underscores the potential of interdisciplinary collaboration for socially relevant innovations.