We’ve been recording neurons on Utah arrays for ~3 years now. That creates a lot of data, and we keep buying more drives (above – there’s about 30TB of storage on the hub computer). Drives themselves are cheap; it’s backing up the data which becomes expensive in the long run, both in terms of bandwidth … More Compressing wideband signals with FLAC
Theano is a very interesting numeric library for Python that I covered briefly a few years ago. Coming from the machine learning group at Université de Montréal – i.e. Yoshua Bengio et al. – it is well adapted to the kinds of numerical tasks that frequently occur in machine learning problems, in particular deep neural … More Theano: numerical computation in Python
It’s easy enough to load .mat files in Python via the scipy.io.loadmat function. But what about loading .pickle files into Matlab? That’s easy enough by calling a system command in Matlab, like so: Note that I’m setting the LD_LIBRARY_PATH environment variable since Matlab seems to reset this variable internally and it causes .so module import … More Load pickle files in Matlab
[This post is an archive – SciTrends didn’t get a lot of traffic, so I let the domain expire] I’ve added major new features to SciTrends, which should make it a more useful article discovery tool. It now indexes the abstracts of trending papers; you can use the full text search to narrow down the … More SciTrends – now with abstracts, search, RSS
I was trying to get parallel Python to work and I noticed that if I run two Python scripts simultaneously – say, in two different terminals – they use the same core. Hence, I get no speedup from multiprocessing/parallel Python. After some searching around, I found out that in some circumstances importing numpy causes Python … More Python refuses to use multiple cores – solution
