Felix Schürmann is adjunct professor at the Ecole Polytechnique Fédérale de Lausanne, co-director of the Blue Brain Project and involved in several research challenges of the European Human Brain Project.
He studied physics at the University of Heidelberg, Germany, supported by the German National Academic Foundation. Later, as a Fulbright Scholar, he obtained his Master’s degree (M.S.) in Physics from the State University of New York, Buffalo, USA, under the supervision of Richard Gonsalves. During these studies, he became curious about the role of different computing substrates and dedicated his master thesis to the simulation of quantum computing.
He studied for his Ph.D. at the University of Heidelberg, Germany, under the supervision of Karlheinz Meier. For his thesis he co-designed an efficient implementation of a neural network in hardware.
The Felix Schürmann Lab – Neuroscience and Computing – https://www.epfl.ch/labs/gr-fsch/
Hill SL., Wang Y., Riachi I., Schürmann F., Markram H. (2012). Statistical connectivity provides a sufficient foundation for specific functional connectivity in neocortical neural microcircuits, PNAS, Published online before print September 18, 2012, doi: 10.1073/pnas.1202128109
Hines, M. L., Markram, H., & Schürmann, F. (2008). Fully implicit parallel simulation of single neurons. J Comput Neurosci, 25(3), 439-448.
Druckmann, S., Banitt, Y., Gidon, A., Schürmann, F., Markram, H., & Segev, I. (2007). A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data. Front Neurosci, 1(1), 7-18.
Schürmann, F., Meier, K., & Schemmel, J. (2005). Edge of Chaos Computation in Mixed-Mode VLS – “A hard liquid”. In L. K. Saul, Y. Weiss & L. Bottou (Eds.), Advances in neural information processing systems 17 (NIPS204). Cambridge, MA: MIT Press.