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

Learning and replaying spatiotemporal sequences: A replication study.

Öberländer J., Bouhadjar Y., Morrison A.
Front. Integr. Neurosci.
10.3389/fnint.2022.974177

Unified field theoretical approach to deep and recurrent neuronal networks.
Connectivity concepts in neuronal network modeling.