Michael Reimann

Simulation Neuroscience

Michael Reimann is the Group Leader for Connectomics within the Simulation Neuroscience Division.

Michael develops methods to derive/predict the local synaptic connectivity in a neocortical microcircuit. Additionally, he analyzes the trends found in connectivity and how it relates to the electrical activity (structural to functional relation).

Before joining Blue Brain, he worked with Prof. Christoph von Lassberg, on the analysis of data streams from simultaneous recordings of eye movement, EMG and full body tracking in collaboration. His research also included integration of vestibular information in humans.

Michael studied Bioinformatics at the University of Tuebingen, Germany, specializing in neuroinformatics and coding theory before joining Blue Brain as a PhD student.

In his free time, Michael is a self-confessed movie buff.

Selected Publications

Reimann, M.W., Gevaert, M., Shi, Y., Lu, H., Markram, H., and Muller, E. A null model of the mouse whole-neocortex micro-connectome. Nature Communications 29 August 2019.
DOI: 10.1038/s41467-019-11630-x

A biophysically detailed model of neocortical Local Field Potentials predicts the critical role of active membrane currents

An algorithm to predict the connectome of neural microcircuits http://journal.frontiersin.org/article/10.3389/fncom.2015.00120/full

Reconstruction and simulation of neocortical microcircuitry

Topological analysis of the connectome of digital reconstructions
of neural microcircuits