The Goethe Center for Scientific Computing (G-CSC) of the Goethe University Frankfurt aims at developing and applying methods and tools for modelling and numerical simulation of problems from empirical sciences and technology. In particular, fast solvers for partial differential equations (i.e. pde) such as robust, parallel, and adaptive multigrid methods and numerical methods for stochastic differential equations are developed. These methods are highly advanced and allow to solve complex problems.

The research focus of our group at the Goethe-Center for Scientific Computing (G-CSC), which is located at the Goethe University Frankfurt am Main, is to understand basic neuronal functioning in the brain by applying advanced computational methodology in the neuroscientific field.

The Brain Networks Laboratory is affiliated with the Computer Science Division of the Texas A&M University, College Station.

Powerful EM field simulation software for solving Maxwell’s equations in three dimensions in time or frequency domain, CST - Computer Simulation Technology.

Provides an accessible location for storing and efficiently retrieving computational neuroscience models.

P. J. Broser, R. Schulte, A. Roth, F. Helmchen, J. Waters, S. Lang, B. Sakmann, G. Wittum, Nonlinear anisotropic diffusion filtering of three-dimensional image data from two-photon microscopy, J. of Biomed. Optics, 09(06), 2004

Biophysical Neural Network Modelling Software. It uses the latest NeuroML specifications, including MorphML, ChannelML and NetworkML.

NEURON is a simulation environment for modeling individual neurons and networks of neurons. It provides tools for conveniently building, managing, and using models in a way that is numerically sound and computationally efficient. It is particularly well-suited to problems that are closely linked to experimental data, especially those that involve cells with complex anatomical and biophysical properties.