I use Python to post process large amounts of spike data from my simulations. This post documents some observations I've made while writing my scripts.
No, not heavenly bodies, feed aggregators.
When we speak of jargon, it is usually because we heard something we couldn't make sense of. We focus on how it adversely affects the listener. The truth is, it also affects the speaker if the speaker does indeed intend to get the point across. In this post I discuss how it affects my work and me and I try to document what I can do to improve my communications to make it easier for my listeners and me to understand each other correctly.
Finding the right set of parameters is quite important in a lot of research - machine learning and computational neuroscience are two fields that I know of. I recently had to ascertain the optimal parameter set for my simulations too. I came up with a quick script to do it for me.
I now maintain a COPR repository where I host neuroscience related packages that Fedora users can use. These packages will be submitted for review to Fedora when I have time in the future.