During his early days as a student of physics in Heidelberg Mihai Petrovici had the chance to work in several fields that have to deal with such complexity, in particular on the analysis of high-multiplicity particle collisions and on the study of glasses at very low temperatures. The jump towards neuronal systems was only a small one, as he started my work in the Electronic Vision(s) group at the Kirchhoff-Institute for Physics, where he earned my Dr. rer. nat. (summa cum laude & Springer Thesis Award) under the supervision of the late, great Prof. Karlheinz Meier. His main area of research is bio-inspired AI, with a particular focus on ensemble phenomena in neural networks, Bayesian inference with spikes, learning in hierarchical networks and the development of beyond-von-Neumann architectures capable of embedding functional neural network models.
Currently, Mihai is working at the Department of Physiology, University of Bern. There, he is leading the NeuroTMA Lab (with branches in both Bern and Heidelberg) and also co-leading the Computational Neuroscience Group together with Prof. Walter Senn. He is also the founder and current leader of the theory and modeling department of the Vision(s) group in Heidelberg, now part of NeuroTMA.: The future of brain-inspired technologies