Eilif Muller


Simulation Neuroscience
Cells and Circuits
Dr. Eilif Benjamin Muller is the Section Manager of Cells & Circuits in the Simulation Neuroscience Division.

Dr. Muller leads the team of researchers at Blue Brain who develop, refine and study our flagship simulations of neocortical tissue, under the direction of Prof. Henry Markram, and in close collaboration with Prof. Felix Schürmann, Prof. Sean Hill, Prof. Idan Segev (Jerusalem) and Prof. Javier DeFelipe (Madrid).

The team employs state-of-the-art simulations on some of the world’s largest supercomputers in order to advance our understanding of the synergistic principles of neocortical architecture, neuronal coding, and plasticity.

Dr. Muller received his B.Sc. (Honours) in Mathematical Physics from Simon Fraser University, Burnaby, BC, Canada in 2001, before moving to the University of Heidelberg in Germany.  There, he obtained a Masters of Science in Physics in 2003 and a PhD of Natural Sciences in Physics in 2007.

In 2007, Dr. Muller joined the EPFL as a post-doctoral researcher with Prof. Wulfram Gerstner in the Laboratory for Computational Neuroscience before moving to Blue Brain in 2010.

Selected Publications

Markram, H.*, Muller, E.*, Ramaswamy, S.*, Reimann, M. W.*, Abdellah, M., Sanchez, C. A., … & Schurmann, F. (2015). Reconstruction and simulation of neocortical microcircuitry. Cell, 163(2), 456-492. * indicates co-first authorship.

Delattre V., Keller D., Perich M., Markram H., Muller E. (2015) Network-timing-dependent plasticity. Frontiers in Cellular Neuroscience. doi: 10.3389/fncel.2015.00220

Farkhooi F., Froese A., Muller E., Menzel R. and Nawrot M. P. (2013). Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways. PLOS Comp. Biol. doi: 10.1371/journal.pcbi.1003251

Davison A.P., Brüderle D., Eppler J.M., Kremkow J., Muller E., Pecevski D.A., Perrinet L. and Yger P. (2008). PyNN: a common interface for neuronal network simulators. Front. Neuroinform. doi:10.3389/neuro.11.011.2008

Muller, E., Buesing, L., Schemmel, J., & Meier, K. (2007). Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural Comput, 19(11), 2958-3010.

Complete list of publications here