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.
Most researchers keep a research journal where we note down our musings, notes and so on. While a paper diary is still quite common, I'd really prefer something on my laptop/computer. There are various applications out there for journal writing, but none of them really match up to good old LaTeX. I've written a simple script that makes it really easy to maintain a journal using LaTeX - Calliope.