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
![Institute for Advanced Simulation (IAS-6), Computational and Systems Neuroscience](/en/ias/ias-6/2024-05-24_scientific_loop_ias6.png/@@images/image/great)
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Latest Publications
Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region
Morales-Gregorio A., Kurth AC., Ito J., Kleinjohann A., Barthélemy FV., Brochier T., Grün S., van Albada SJ.
Cell Reports 43(7): 114371
Software in science is ubiquitous yet overlooked
Facilitating the Sharing of Electrophysiology Data Analysis Results Through In-Depth Provenance Capture
A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
Neuronal Population Activity in Macaque Visual Cortices Dynamically Changes through Repeated Fixations in Active Free Viewing
Sequence learning in a spiking neuronal network with memristive synapses Neuromorphic Computing and Engineering
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices