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

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Research Strategy

Research at INM-6/ IAS-6/ INM-10 follows a scientifc loop, where experimental data, theories and simulation are building up on each other. In collaboration the single working groups combine different expertise in one common scientific area - computational neuroscience. Find out more regarding our research strategy in our Research Overview.

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Computational Neurophysics group

The focus of the group of Markus Diesmann are bottom-up approaches in order to integrate physiological and anatomical data into models, in particular model development, theory of neuronal networks, and correlation dynamics. This also requires the development of simulation technology for neural networks.

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Statistical Neuroscience group

The research group of Sonja Grün at the Institute for Computational and Systems Neuroscience (INM-6) focuses on the development of analysis strategies and tools that uncover concerted activity in electrophysiological signals from the brain.

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Computation in Neural Circuits group

Investigation of mechanisms underlying neural computation through the development of models on the level of networks of spiking neurons. This group applies a predominantly top-down approach to discover functional constraints on structure, plasticity and dynamics, particularly with respect to learning and memory.

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Theory of Multi-scale Neuronal Networks group

The focus of this group is the investigation of mechanisms that shape the activity in neuronal networks on multiple spatial scales. The group builds theoretical descriptions from the microscopic level of single cells and synapses to effective equations capturing interacting brain areas.

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Theoretical Neuroanatomy group

The work group led by Prof. Dr. Sacha van Albada studies the architecture and connectivity of brain circuits as the basis for neural network models at the resolution of neurons and synapses that relate structure to dynamics.

Latest Publications

Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles.

Gutzen R., Grün S., Denker M.
BioSystems
10.1016/j.biosystems.2022.104813

Decomposing neural networks as mappings of correlation functions.
Learning and replaying spatiotemporal sequences: A replication study.



News and Events

CSN Virtual Seminars

We host a series of Virtual Seminars at INM-6. Past and upcoming events can be found here.

NEST Conference 2023

This year's conference will take place as a virtual event on 15-16 June 2023. Register now!

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