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====Other==== | ====[[Other]]==== | ||
===Data Preprocessing=== | ===Data Preprocessing=== |
Revision as of 18:19, 13 May 2011
Wiki for Sharing Brain Mapping Unit Methods and Data
This is a wiki, a user-editable Web site. You can treat it as a perfectly ordinary Web site (read it), but you are also able to make changes to any page that has an edit link at the top of it. The complete history of each page is stored, so if you make a mistake it can always be undone. If you want to experiment with editing, there's a special Sandbox page for this purpose.
The more or you contribute, the more useful this page will become for current and future members of our group, so please feel free to add any relevant information!
Basic Background Reading
The first thing to do is probably to read a couple of easy introductory papers on network science in general, as well as applied to neuroscience. Some useful papers to start with are:
- The most famous paper in networks:
Watts D.J. and Strogatz S.H. (1998) Collective dynamics of 'small-world' networks. [[1]]
- The second most famous paper:
Barabási A-L. and Albert R. (1999)Emergence of Scaling in Random Networks [[2]]
- A great review by Ed:
Bullmore E. and Sporns O. (2009) Complex brain networks: graph theoretical analysis of structural and functional systems [[3]]
Sharing Data
fMRI
MEG
Other
Data Preprocessing
fMRI
MEG
Other
Network Construction
The problem of filtering
MSTs and why they're useful
Aaron's thresholding method
Network Analysis
All commonly used network measures have been implemented in MATLAB and bundled into a wonderful toolbox called the Brain Connectivity Toolbox by Olaf Sporns and collaborators. [[4]] They also welcome any additions to their toolbox, so feel free to contribute.
For the less computationally fluent: Yong Liu is developing a point-and-click toolbox of his own... it should be ready in late 2011.
Network Visualization
A variety of tools have been developed to generate efficient and pleasing graphical representations of networks:
- PAJEK is one of the most commonly used one: [[5]]
- Gephi is looking increasingly poliched: [[6]]
- GUESS is my personal favourite [[7]]
How To Edit the Wiki
- You can find some help on editing this wiki on HowToEdit