- Poster presentation
- Open Access
Neural field simulator: fast computation and 3D-visualization
© Nichols and Hutt; licensee BioMed Central Ltd. 2013
- Published: 8 July 2013
- Subsequent Modification
- Graphical Visualization
- Temporal Discretization
- Decay Time Constant
- Transmission Speed
involving axonal finite transmission speed c. The underlying numerical computation method  utilizes a Fast Fourier Transform in space. Motivation for the work arises from a need for a visualization tool that is useful to the largest number of DNF researchers, allows for the tailoring of code and has fast while visually appealing output. The simulator can operate on all major operating systems and the wxWindows library is used to provide a native cross-platform look and feel. It is open source and enables researchers to modify the simulator in any beneficial way. Output of data in 3 dimensions is provided by PyOpenGL which brings the speed and graphical detail of low-level OpenGL to the agile Python language.
The options for output include text based notifications and graphical visualization in 3 dimensions (Figure 1B). These output methods allow the user to pause and modify variables during the DNF's calculations. Moreover, the user is able to make a video of the animated field for later review.
The work in this paper is funded by the European Research Council for support under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement No. 257253 (MATHANA project).
- Hutt A, Rougier N: Phys Rev E. 2010, 82-R055701Google Scholar
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