Bernstein Netzwerk Computational Neuroscience

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Bernstein Group for Computational Neuroscience (BGCN)

Detailed Modelling of Signal processing in Neurons

Neurons are the basic unit of information processing in the brain, controlling the dynamic processes. Thus, understanding signal processing in neurons is basic to understand the brain. The aim of the present Bernstein group is the understanding how spatial and temporal dynamics are controlled on the level of neurons and microcircuits. To that end, unsteady models with three dimensional space resolutions of subcellular features will be created leading to large coupled systems of partial differential equations. These models have the potential to yield very accurate information about spatial and temporal dynamics and their interaction, forming the basis for the complex dynamics of the neural system. This work requires interdisciplinary cooperation connecting techniques from molecular biology, image processing, electrophysiology, high resolution microscopy and tools from mathematical modelling, numerical solvers and large scale supercomputing. The aim is to get insight into the basic principles by which interacting proteins, neurons and microcircuits process information, form structures and coordinate their dynamics. 


Coordinator Link

Prof. Dr. Gabriel Wittum

Ruprecht-Karls-Universität Heidelberg Interdisciplinary Centre for Neurosciences - Neurobiology
Im Neuenheimer Feld 368
D-69120 Heidelberg

bgcn heidelberg

Tel.: +49 (0) 622 / 154-8855
Fax: +49 (0) 622 / 154-8860

 

New address:

Goethe-Center for Scientific Computing
Johann-Wolfgang-Goethe-Universität Frankfurt
Kettenhofweg 139
60325 Frankfurt am Main