TUM Neurotechnology Research Alliance
Projects
The Alliance brings together projects spanning the full journey from research to clinical application.
Combines clinical neurosurgery, intracortical signal recording, and AI-supported neural decoding. In summer 2025, as part of the program, the first chronic microelectrode BCI in Europe was implanted at the Klinikum der Technischen Universität München (TUM University Hospital) in a patient with traumatic spinal cord injury.
Indication: traumatic spinal cord injury
Methods: chronic intracortical recording, decoding, AI
Funding: BMFTR
Combines clinically indicated procedures with scientific microelectrode recordings from different cortical regions. The approach opens access to human single-cell and population activity while behavior is monitored at the same time.
Methods: acute microelectrode arrays, single-cell recording
Funding: DFG
First in the world for clinical research program on the restauration of communication afer stroke, running since 2022. Chronic neural recordings and patient-specific decoding gradually translate brain signals into outputs that can be used for communicatoin. Investigates how linguistic and communicative information is represented in cortical networks. Particular weight is given to hthe contribution of the right hemisphere and to the relationship between single-cell activity, natwork organization, and behavior.
Indication: severe language impairment after stroke
Methods: chronic BCI recording, speech decoding
Funding: ERC
Publications and further information
Builds on the clinical and technological experience gained in AID. Three pillars are planned: neuromorphic and data-driven decoding, a brain-spine interface architecture, and hand neuroprosthetics with exoskeleton, EMG and VR integration. A soft robotics branch complements the project.
Status: concept and application phase
Components: neuromorphic AI, digital bridge, neuroprosthetics, soft robotics
Soft, wearable assistance systems for gait, arm, and hand function. Soft exosuits and active orthoses support a movement without guiding it completely through rigid structures, and they can be coupled with neural and myoelectric decoding.
Status: Ongoing development line
Technologies: soft exosuits, active orthoses, sensor systems
References: Nature Machine Intelligence 2024; Soft Robotics 2024
Publications and further information
From the talk by Prof. Lorenzo Masia at IROS 2025.