This image shows Laura Schmid

Laura Schmid

M.Sc.

Research Assistant

Contact

Pfaffenwaldring 5a
70569 Stuttgart
Deutschland
Room: 02.017

Subject

  • Mathematical modelling and simulation in neuroscience
  • Spinal reflexes and motor control

Overview

From an engineering perspective, the neuromuscular system can be described as a complex control system, consisting of actuators (skeletal muscles), mechanosensitive sensors (feedback) and spinal motor neurons (control elements), which integrate sensory and supraspinal inflow to regulate the activity of the actuators.
Mathematical models and computer simulations have the great potential to substantially increase our understanding of  the neuromuscular system. By employing sub-models that are based on strictly biophysical modeling approaches, the resulting model closely represents the underlying physiological system and, thus, has the potential to provide valuable insights into the complex interrelations within the healthy system as well as pathological conditions.

Current research topics

  • Model based investigation of the characteristic properties of reflex measures (Peristimulus Analysis)
  • Analysis of motoneuron behaviour during inhibititory reflexes
  • Model development for the analysis of muscle sensory feedback after amputation (within SPP 2311)
  1. Schmid, L., Klotz, T., Röhrle, O., Powers, R. K., Negro, F., & Yavuz, U. Ş. (2024). Postinhibitory excitation in motoneurons can be facilitated by hyperpolarization-activated inward currents: A simulation study. PLOS Computational Biology, 20(1), Article 1. https://doi.org/10.1371/journal.pcbi.1011487
  2. Haggie, L., Schmid, L., Röhrle, O., Besier, T., McMorland, A., & Saini, H. (2023). Linking cortex and contraction—Integrating models along the corticomuscular pathway. Frontiers in Physiology, 14. https://doi.org/10.3389/fphys.2023.1095260
  3. Schmid, L., Klotz, T., Yavuz, U. Ş., Maltenfort, M., & Röhrle, O. (2022). Spindle Model Responsive to Mixed Fusimotor Inputs: an updated version of the Maltenfort and Burke (2003) model. Physiome. https://doi.org/10.36903/physiome.19070171.v2
  4. Schmid, L., Klotz, T., Siebert, T., & Röhrle, O. (2019). Simulating electromechanical delay across the scales--relating the behavior of single sarcomers on a sub-cellular scale and the muscle-tendon system on the organ scale. PAMM, 19(1), Article 1. https://doi.org/10.1002/pamm.201900312
  5. Schmid, L., Klotz, T., Siebert, T., & Röhrle, O. (2019). Characterization of electromechanical delay based on a biophysical multi-scale skeletal muscle model. Frontiers in Physiology, 10, 1270. https://doi.org/10.3389/fphys.2019.01270
  • Einführung in die Kontinuumsbiomechanik (WS 18/19, 19/20)
  • Themen für Abschlussarbeiten auf Anfrage
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