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

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.