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Institute of Neuroscience and Medicine

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Multi-scale network modeling

Computational Neurophysics

Group leader:
Prof. Dr. Markus Diesmann

The focus of this group 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. More: Computational Neurophysics …

Statistical Neuroscience Lab

Statistical Neuroscience

Group Leader:
Prof. Dr. Sonja Grün

Development and application of methods to analyse multi-channel activity data in close contact to experimental groups. A focus is the connection between neural data recorded on different temporal and spatial scales and on the structure of correlations of spiking activity. More: Statistical Neuroscience …

top down approach

Computation in Neural Circuits

Group leader:
Prof. Dr. Abigail Morrison

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. Secondary focus on simulation technology for high-performance computers. More: Computation in Neural Circuits …

multiscale theory

Theory of multi-scale neuronal networks

Group leader:
Prof. Dr. Moritz Helias

The focus of this group is the investigation of mechanisms shaping the correlated and oscillatory activity in neuronal networks with structured connectivity on several spatial scales. This requires the development of quantitative theoretical descriptions, adapted from statistical physics, combined with direct simulations of neuronal networks at cellular resolution. More: Theory of multi-scale neuronal networks …

Theoretical Neuroanatomy

Theoretical Neuroanatomy

Group leader:
Dr. Sacha van Albada

The focus of this work group is on the collation and analysis of microscopic and macroscopic anatomical data, informing large-scale dynamical models of the mammalian brain at cellular and synaptic resolution that are simulated using supercomputers. Comparison of the model dynamics with experimentally measured activity further constrains the inferred connectivity. More: Theoretical Neuroanatomy …