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.
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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 …
Functional Neural Circuits
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.
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Theory of multi-scale neuronal networks
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.
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