We have also presented the application of Phiwave to the FIAC dataset, at the Human Brain Mapping conference in Toronto, 2005. Here is the Phiwave FIAC presentation. Please see our Phiwave FIAC page for links to the final paper, and full scripts to reproduce the analysis down the to publication figures.
Aston, J.A., Brett, M., & Turkheimer, F. E. (2006) HBM functional imaging analysis contest: data analysis in wavelet space. Human Brain Mapping (in press).
Turkheimer, F. E., Brett, M., Aston, J. A. D., Leff, A. P., Sargent, P. A., Wise, R. J. S., Grasby, P. M., & Cunningham, V. J. (2000). Statistical Modeling of PET Images in Wavelet Space. Journal of Cerebral Blood Flow and Metabolism, 20, 1610-1618.For other relevant references, see Federico's home page.
All Phiwave releases are available via the Phiwave project SourceForge page.
For those who need the latest code and edits, please see the Phiwave github page
Next download Phiwave as above.
Unpack Phiwave into a directory somewhere. This will probably give you a new directory called something like phiwave-3.2 (where 3.2 is the current version number).
Put this directory on your matlab path.
Make sure that mex file compilation is properly set up for matlab.
In the matlab console, compile the Phiwave routines with
>> phiwave makeNow you can start phiwave with
There is a moderate amount of documentation of the Phiwave code, and wwe export this as web pages using Guillaume Flandin's excellent m2html. This is available in the doc subdirectory in the main phiwave code directory. It is also available in the doc/latest directory of the website.
Until the next time, arrivederci.
The Phiwave team
Last Refreshed: Thu Jan 12 12:51:59 GMT 2006