CIN Staff

In 2007, the CIN started with 25 principal investigators as cluster applicants, as stipulated in the DFG call for bids. When the CIN cluster was approved further  scientists from a range of institutions were incorporated, to make up the 48 'founding members' of the CIN. Since the beginning of 2014 the CIN has consisted of over 80 scientists in total. The membership process involves an application to the steering committee in which the candidate outlines his or her scientific profile and submits a list of publications. The committee's decision is based purely on the scientific excellence of each candidate.

CIN Staff

Dr. Daniel Häufle

Organization: Hertie Institute for Clinical Brain Research


Otfried-Müller-Str. 27
72076 Tübingen

Phone number: +49 7071 29 - 88873

Department: Multi-Level Modeling in Motor Control and Rehabilitation Robotics

Area: CIN Staff

Field of Research

The focus of the research group „Multi-Level Modeling in Motor Control and Rehabilitation Robotics“ is the generation and control of active biological movements. We develop computer models and simulations of the neuro-musculo-skeletal system. In a multi-level approach, we consider the different hierarchical levels contributing to the movement generation. This interdisciplinary approach is mainly based on biophysics, biomechanics, and computational motor control.

In the context of the Hertie Institute for Clinical Brain Research, we investigate fundamental sensorimotoric control mechanism and their dysfunction in neurological disease. A deeper understanding of dynamics, impaired control and interaction will serve as a basis for the development of functional assistive devices.

The group is part of the new regional research alliance „System Human“ between University of Tübingen and University of Stuttgart. Our goal is to link the neuro-scientific expertise in Tübingen with the expertise in computer simulation at the Stuttgart Research Center for Simulation Science (SC SimTech).

* Motor control and impairment of goal directed arm movements
* Functional role of decentralized control in perturbed walking
* Bionic actuator design for functional assistive devices
* Information entropy as a measure for control effort

Winfried Ilg, Computational Sensomotorics, Tübingen
Syn Schmitt, SimTech, Stuttgart
Oliver Röhrle, SimTech, Stuttgart
Clemens Bechinger, Physics, Stuttgart
Keyan Ghazi-Zahedi, MPI Mathematics in the Sciences, Leipzig
Hartmut Geyer, Robotics Institute, Carnegie Mellon University, Pittsburgh


Biomechanics, Motor Control, Rehabilitation Robotics, Simulation, Biophysics, Arm Movements


Bayer, A., Schmitt, S., Günther, M., & Haeufle, D. F. B. (2017). The influence of biophysical muscle properties on simulating fast human arm movements. Biomechanics and Modeling in Mechanobiology Manuscript, 5842(April), 1–19.

Ghazi-Zahedi, K., Haeufle, D. F. B., Montúfar, G., Schmitt, S., & Ay, N. (2016). Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping. Frontiers in Robotics and AI, 3(July), 1–10.

Haeufle, D. F. B., Günther, M., Bayer, A., & Schmitt, S. (2014). Hill-type muscle model with serial damping and eccentric force-velocity relation. Journal of Biomechanics, 47(6), 1531–6.

Haeufle, D. F. B., Günther, M., Wunner, G., & Schmitt, S. (2014). Quantifying control effort of biological and technical movements: An information-entropy-based approach. Physical Review E, 89(1), 12716.

Haeufle, D. F. B., Günther, M., Blickhan, R., & Schmitt, S. (2012). Can Quick Release Experiments Reveal the Muscle Structure? A Bionic Approach. Journal of Bionic Engineering, 9(2), 211–223.