Regular biography
Michael Herrmann holds a Lectureship in Robotics at The University of Edinburgh's Department of Computer Science. His research focuses on robotics, though specific details are not provided. He is affiliated with the university and can be contacted via email at Michael.Herrmann@ed.ac.uk. His professional profile is available at https://www.ed.ac.uk/Michael_Herrmann.html.
Scholar-generated biography
J. Michael Herrmann is a researcher at the School of Informatics, University of Edinburgh, specializing in Robotics, Mathematical Neuroscience, Biological Signal Processing, and Self-Organisation in Adaptive Systems. His work explores the dynamics of neural networks, including self-organized criticality, synfire chains, and adaptive interactions. Herrmann also investigates neural maps, topographic vector quantization, and the application of neural models to cognitive processes such as memory and temporal processing. His research extends to robotics, focusing on passivity-based control and autonomous development through guided self-organisation. Additionally, he examines financial time series analysis and privacy implications in peer selection systems.