Jonas Braun

Papers

Total Citations

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About

Jonas Braun is a leading researcher in the field of hybrid brain-computer interfaces (BCIs), with a focus on developing accessible, open-source tools and assistive robotic systems for patients with severe motor impairments. His most impactful contribution is the creation of **gumpy**, a free and open-source Python toolbox designed specifically for hybrid BCIs. This work, which has garnered **44 citations**, provides researchers with a comprehensive suite of state-of-the-art signal processing algorithms, lowering the barrier to entry for BCI experimentation and fostering reproducibility in the field. Braun’s applied research is equally notable; he led the development of a **P300-based brain-robot interface** prototype that enables multi-modal, bidirectional communication for patients with limited mobility. This system, which integrates EEG-based control with a humanoid robot, aims to restore social interaction and autonomy for individuals who have lost the ability to move or speak. By bridging the gap between robust software infrastructure and real-world assistive technology, Braun’s work is paving the way for more practical, patient-centered BCI applications that can extend the social sphere of those with locked-in syndrome.