Research not for publishing papers, but for fun, for satisfying curiosity, and for revealing the truth.

This blog reports latest progresses in
(1) Signal Processing and Machine Learning for Biomedicine, Neuroimaging, Wearable Healthcare, and Smart-Home
(2) Sparse Signal Recovery and Compressed Sensing of Signals by Exploiting Spatiotemporal Structures
(3) My Works

Tuesday, June 28, 2011

Neuroscience software survey: What is popular, what has problems?

There is an excellent survey on Neuroscience software, carried out by Yaroslav Halchenko and his colleague. Here is the result link:
The primary analyses have been published in: Hanke, M. & Halchenko, Y. O. (2011). Neuroscience runs on GNU/Linux. Frontiers in Neuroinformatics, 5:8.

I picked several figures from their result according to my research interests:


  1. Thanks :) That seems useful. I've always showed interest in this genre but never took the time to quite understand it. Are these the programs that the doctors use with their patients or something?

  2. Yes, most of these programs are used for both clinical applications and academic research.