Foto Credits: Ken Friedl (4), TUM (2)



The convergence between engineering and neurobiology brings about new discoveries in the brain as well as innovations for future neuroprosthetics and brain-technologies-interfaces. In addition, applying knowledge from the neuro world will be exploited to investigate design methods and architectures for improving technical systems out of the neuro application domains. As a new interdisciplinary center, the CoC for Neuro-Engineering brings new capabilities to the growing research community at TUM, with state-of-the-art computational and fabrication facilities for developing novel technologies that will benefit a wide range of societal needs, such as health care and active ageing.

On April 19, 2018 we had our last CoC networking meeting. Pictures and more details are available here: Neuro-Engineering Networking Workshop

Mission & Goals

Understanding how the brain reacts to sensory stimuli, encodes perceived and abstract information, reasons on such information and generates behavior from previous experience will be the core research question of the center: Neuronal information processing from sensory input to behavior, and its implementation in technology. We link this closely to medicine (such as neuro-muscular rehabilitation, or active sensing and acting prostheses) but also to technical systems, where an understanding of neuronal style of distributed information processing will give rise to the next large leap in computing performance (such as massively parallel processing systems with intertwined processing and storage).

The center will be a multidisciplinary research endeavor in the cross-border area of neuroscience and application-oriented engineering – closely interacting with biology, zoology, medicine; and thereby providing a bridge to ongoing activities beyond TUM’s existing strong engineering disciplines, enabling access to neurological programs such as of LMU, BCCN.

The center will offer breadth and depth in NeuroEngineering research and will be attractive in education with growing programs for young engineers. They share the common goal of analyzing the function of the nervous system, developing methods to restore damaged neurological function, and creating artificial neuronal systems by integrating physical, chemical, mathematical, biological, and engineering tools.

Core Competencies

  • Neuro-Medical electronics
  • Neuro-Sensory systems and information processing in visual, auditory and haptic domains
  • Closed loop Neural Perception-Cognition-Action Systems
  • Bio-sensors
  • Brain-Machine and Brain-Computer Interfaces
  • Neuro-based electronics
  • Neuronal data processing
  • Self-organizing multi-core processors


Koordinator: Gordon Cheng Cognitive Systems
Alin Albu-Schäffer Chair of Sensor Based Robotic Systems and Intelligent Assistance Systems
Martin Buss Chair of Automatic Control Engineering
Klaus Diepold Data Processing
Michael Dorr Human-Machine Communication
David Franklin Neuromuscular Diagnostics
Julijana Gjorgjieva Computational Neurosciences
Stefan Glasauer Sensorimotor Research
J. Leo van Hemmen Theoretical Biophysics
Werner Hemmert Bio-Inspired Information Processing
Andreas Herkersdorf Integrated Systems
Simon Jacob Translational NeuroCognition Laboratory
Ilona C. Grunwald Kadow Neuronal Control of Metabolism
Alois Knoll Robotics and Embedded Systems
Dongheui Lee Human-centered Assistive Robotics
Tim C. Lüth Micro Technology and Medical Device Technology
Harald Luksch Zoology
Jakob Macke Computational Neuroengineering
Sabine Maasen Sociology of Sciences
Markus Ploner Neurology
Ruben Portugues Sensorimotor control in larval zebrafish
Gerhard Rigoll Human-Machine Communication
Bernhard Seeber Audio Information Processing
Anton Sirota Cognition and Neuronal Plasticity
Marc Tornow Molecular Electronics
Gil Westmeyer Neurobiological Engineering
Bernhard Wolfrum Nanoelectronics


  • Neuronal circuits and information processing at the systemic level for technical implementation (such as robotics) and medical settings (such as prosthesis, BMI/BCI)
  • (Neural) Systems-on-chip
  • Bio-Sensors
  • Neuro-Rehabilitation
  • Neural computation
  • Autonomic and organic computing


  • Various BCCN projects (Buss, Cheng, Conradt, Hemmert, Kleinsteuber, Seeber)
  • EU projects / collaborations (Buss, Cheng, Conradt, Lugli, Scarpa)
    • e.g. CONTEST (Lugli und Cheng), GRIDMAP (Conradt), OLIMPIA (Lugli und Scarpa)
  • Autonomous System on Chip (DFG priority program 1183)