[pymvpa] Granger causality analysis

[Yaroslav Halchenko]

On Fri, 08 Sep 2017, Илья Сысоев wrote:

>    Dear all!
>    I am a informal leader of a small research group, specializing in data
>    analysis, mainly including Granger causality approach (but also other
>    measures like mutual information/transfer entropy, phase synchronization,
>    nonlinear correlation, surrogate generation for testing for significance,
>    etc.), applied for local field potentials in WAG/Rij rats (genetic models
>    of absence epilepsy) and ordinary Wistar rats (studying limbic seizures).
>    The methods are mainly original and written in Python (but not
>    exclusively, also, where is some Pascal, Fortran, SciLab code). If it is
>    interesting, we could integrate our results in the Framework, since we are
>    looking to popularize them.
>    For convenience, please find my researchegate profile:
>    https://www.researchgate.net/profile/Ilya_Sysoev
>    My researcherid:
>    D-5930-2013
>    Will be pleased to contribute.

and we will be happy to accept your contributions and welcome you to the
team ;-)

We should probably create a CONTRIBUTING.md, similar to the one we have
in other projects such as datalad/duecredit/etc, describing overall
layout, use of duecredit, etc... which could help to orient you.  We
will do that soon(ish).  Particular aspect is -- testing.  All (new) code
should get covered by tests so there is assurance that it works
correctly now, and we would be able to maintain it in the working order
in the long run.

Do you have any particular algorithm, function, ... you would like to
start with? ;-)

Cheers,
-- 
Yaroslav O. Halchenko
Center for Open Neuroscience     http://centerforopenneuroscience.org
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834                       Fax: +1 (603) 646-1419
WWW:   http://www.linkedin.com/in/yarik