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|The popular programming language [[http://www.python.org/|Python]] is increasingly becoming popular for its flexibility and simplicity. You could start with the [[http://wiki.python.org/moin/BeginnersGuide|Beginners' Guide]].||The programming language [[http://www.python.org/|Python]] is increasingly becoming popular for its flexibility and elegance. You could start with the [[http://wiki.python.org/moin/BeginnersGuide|Beginners' Guide]]. MNE Python offers a complete and easy to use analyses environment and is available at the unit.|
If you are new to data analysis...
You may want to start with a basic introduction to EEG and MEG analysis, and then look at the description of our Elekta Neuromag MEG system. If you are about to run an MEG experiment yourself, you should read the Standard Operating Procedures.
You should get an idea of how computing is organised at the CBU.
Then you should familiarise yourself with a VNC viewer, or you won't be able to use our Linux cluster from your desktop PC (or from home).
You may find the presentations from our "MEG day" (29 Jan 2010) useful, illustrating data acquisition, pre-processing, source estimation and other issues.
Your life as a neuroimager will be much easier if you have a good grasp on Linux (Unix) and Matlab. The following links will get you on your way, and may serve as useful references when you get stuck.
The website "Codeacademy" offers several intriguing on-line programming courses (click on "Learn") - it's fun (says Ian)!
There are some Matlab Lectures for Beginners from the CBU.
You can look at tutorials and demos offered by Mathworks itself. This site also contains links to Matlab tutorials at some universities. You may want to start with the Getting Started section. The short introduction to Matlab for psychologists from the University of Nottingham is also useful. You can start at the very beginning with this primer on matrices.
This is a systematic and well-illustrated introduction to linux.
The programming language Python is increasingly becoming popular for its flexibility and elegance. You could start with the Beginners' Guide. MNE Python offers a complete and easy to use analyses environment and is available at the unit.
MEG analysis software:
Most software packages will offer tutorials and demos. They will familiarise you with basic analysis principles, visualisation options, and give you an overview of what's available to you. It makes sense to do the tutorials of software packages even if you are not planning to use them routinely. For example, MNE includes an example data set (tutorial in the manual), and there is a general SPM5 demo for MEG analysis, and a tailor-made SPM5 demo for data acquired at the CBU.
Our fMRI software pages also contain useful information, e.g. further guides and tutorials.