The tools and pipelines developed in our institute are open- source.
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
Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles.
Decomposing neural networks as mappings of correlation functions.
Learning and replaying spatiotemporal sequences: A replication study.
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