[R] R for Computational Neuroscience?

[Bernardo Rangel Tura]

On Fri, 2009-01-23 at 08:53 -0400, Mike Lawrence wrote:
> Hi all,
> 
> I've noticed that many computational neuroscience research groups use
> MATLAB. While it's possible that MATLAB may have some features
> unavailable in R, I suspect that this may instead simply be a case of
> costly tradition, where researchers were taught MATLAB as students and
> pay for it as researchers because it's all they know.
> 
> I'd like to attempt to break the cycle by offering colleagues
> resources on using R for computational neuroscience, but I haven't
> been able to find anything (searched the task view, r-seek, & google).
> 
> Can anyone direct me to resources on using R for computational
> neuroscience? Input on my possibly naive assumption that R is a
> sufficient tool for this field would also be appreciated.
> 
> Cheers,
> 
> Mike

Mike,

I think neuroscience is a term using for a wide group of researchers.
The common analysis (hypothesis test, ANOVA, regression models, etc) is
perfectly made in R.

But the interpretation of mri is need a packages:

1- AnalyzeFMRI -Functions for I/O, visualisation and analysis of
functional Magnetic Resonance Imaging (fMRI) datasets stored in the
ANALYZE or NIFTI format.

2- fmri - contains R-functions to perform an fmri analysis as described
in Tabelow, K., Polzehl, J., Voss, H.U., and Spokoiny, V. Analysing fMRI
experiments with structure adaptive smoothing procedures, NeuroImage,
33:55-62 (2006)

3- dti - Diffusion Weighted Imaging is a Magnetic Resonance Imaging
modality, that measures diffusion of water in tissues like the human
brain. The package contains R-functions to process diffusion-weighted
data in the context of the diffusion tensor model (DTI). This includes
the calculation of anisotropy measures and, most important, the
implementation of our structural adaptive smoothing algorithm as
described in K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss,
Diffusion Tensor Imaging: Structural Adaptive Smoothing, Neuroimage
39(4), 1763-1773 (2008).


-- 
Bernardo Rangel Tura, M.D,MPH,Ph.D
National Institute of Cardiology
Brazil