The brain is a highly complex organ and ubiquitous in our daily lives. However, little is understood about it or its functions. Undertaking the study of this organ is a challenging and fascinating endeavour and can spawn new technologies and alternative methods of treatment of diseases.

Research at the Institute of Computational and Systems Neuroscience encompasses theoretical, data-analytic and simulation approaches to develop multi-scale models of the brain. It is our firm belief that progress in understanding a complex system like the brain can only be achieved through this multi-faceted approach.

Directors: Prof. Dr. Sonja Grün and Prof. Dr. Markus Diesmann

Research groups at INM-6 / IAS-6

Latest Publications

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Pronold J., Jordan J., Wylie BJN., Kitayama I., Diesmann M., Kunkel S.
Parallel Computing
10.1016/j.parco.2022.102952

Sequence learning, prediction, and replay in networks of spiking neurons
Fast simulation of a multi-area spiking network model of macaque cortex on an MPI-GPU cluster.