I am still working on neural networks with heterogenous conduction delays, inspired by Izhikevich’s work about Polychronization. As I couldn’t find a Python implementation of his script file spnet.m (which is written in Matlab), I wrote it by myself, using the modules Numpy and Matplotlib. It is a more or less direct conversion of the Matlab code to Python thanks to Numpy. Maybe someone else can use this code as well.
Jorge Cham, the artist behind PhDComics gave a nice TEDx-talk at UCLA about the gap between the scientific world and its perception in the public. Enjoyed watching it:
This is maybe just the beginning but I thought I share it already because in the next couple of weeks I have no time to continue working on these scripts. I recently created a slideshow in the Video Sequence Editor (VSE) of Blender. The VSE has originally not been designed for creating slideshows (e.g. in contrast to the Windows Movie Maker) but with a few scripts, which restore the aspect ratio of images and which add pans and zooms to an image, it is pretty easy and straightforward to put a slideshow together. The scripts and a more detailed description can be found in this post at BlenderArtists.org.
