[med-svn] [python-mne] 336/376: Added more information about the software

[Yaroslav Halchenko]

This is an automated email from the git hooks/post-receive script.

yoh pushed a commit to annotated tag v0.1
in repository python-mne.

commit e7284e57fe739d19f0c2c759a1f3d27bc1635042
Author: Matti Hamalainen <msh at nmr.mgh.harvard.edu>
Date:   Thu Aug 11 10:56:50 2011 -0400

    Added more information about the software
---
 doc/source/index.rst | 33 +++++++++++++++++++++++++++++----
 1 file changed, 29 insertions(+), 4 deletions(-)

diff --git a/doc/source/index.rst b/doc/source/index.rst
index f617515..bb2dff5 100755
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -2,10 +2,35 @@
 MNE Home
 ========
 
-MNE is a software package for processing magnetoencephalography data
-(MEG) and electroencephalography (EEG). It includes python code
-for reading and writing FIF files produced by Neuromag MEG systems or
-converted from other file formats.
+MNE is a software package for processing magnetoencephalography
+(MEG) and electroencephalography (EEG) data. 
+
+The MNE software computes cortically-constrained L2 minimum-norm
+current estimates and associated dynamic statistical parametric maps
+from MEG and EEG data, optionally constrained by fMRI. 
+
+This software includes MEG and EEG preprocessing tools, interactive
+and batch-mode modules for the forward and inverse calculations, as
+well as various data conditioning and data conversion utilities. These
+tools are provided as compiled C code for the LINUX and Mac OSX
+operating systems.
+
+In addition to the compiled C code tools, MNE Software includes a
+Matlab toolbox which facilitates access to the fif (functional image
+file) format data files employed in our software and enables
+development of custom analysis tools based on the intermediate results
+computed with the MNE tools. 
+
+The third and newest component of MNE is MNE-Python which implements
+all the functionality of the MNE Matlab tools in Python and extends
+the capabilities of the MNE Matlab tools to, e.g., frequency-domain
+and time-frequency analyses and non-parametric statistics. This
+component of MNE is presently evolving quickly and thanks to the
+adopted open development environment user contributions can be easily
+incorporated.
+
+The Matlab and Python components of MNE are provided under the
+simplified BSD license.
 
   * `Download <http://www.nmr.mgh.harvard.edu/martinos/userInfo/data/MNE_register/index.php>`_ MNE
   * Read the :ref:`manual`.

-- 
Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-med/python-mne.git