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

Coherent noise enables probabilistic sequence replay in spiking neuronal networks

Bouhadjar Y., Wouters DJ., Diesmann M., Tetzlaff T.
PLoS Computational Biology

Simulations approaching data: Cortical slow waves in inferred models of the whole hemisphere of mouse.
Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles.