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Dynamical Granger Causality Analysis #126

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dongqunxi opened this issue Jun 11, 2014 · 3 comments
Open

Dynamical Granger Causality Analysis #126

dongqunxi opened this issue Jun 11, 2014 · 3 comments

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@dongqunxi
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Dear all,

I have two 500ms' length of MEG time series, along the time, directional information of correspond cortical fields will change dynamically. If I want to model this directional changing, how to do? Welcome to any suggestion, thanks!

@arokem
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arokem commented Jun 11, 2014

This is a rather general question, and I don't actually know how you would
do that (moving window, perhaps?). I would suggest sending it to the nipy
developers list. I think there are more people listening in there:

http://mail.scipy.org/mailman/listinfo/nipy-devel

On Wed, Jun 11, 2014 at 2:11 AM, dongqunxi notifications@github.com wrote:

Dear all,

I have two 500ms' length of MEG time series, along the time, directional
information of correspond cortical fields will change dynamically. If I
want to model this directional changing, how to do? Welcome to any
suggestion, thanks!


Reply to this email directly or view it on GitHub
#126.

@dongqunxi
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I want to know is there a good strategy to define the length of moving
window? Thanks!

Best wishes,
Qunxi Dong

2014-06-11 18:19 GMT+02:00 Ariel Rokem notifications@github.com:

This is a rather general question, and I don't actually know how you would
do that (moving window, perhaps?). I would suggest sending it to the nipy
developers list. I think there are more people listening in there:

http://mail.scipy.org/mailman/listinfo/nipy-devel

On Wed, Jun 11, 2014 at 2:11 AM, dongqunxi notifications@github.com
wrote:

Dear all,

I have two 500ms' length of MEG time series, along the time, directional
information of correspond cortical fields will change dynamically. If I
want to model this directional changing, how to do? Welcome to any
suggestion, thanks!


Reply to this email directly or view it on GitHub
#126.


Reply to this email directly or view it on GitHub
#126 (comment).

@arokem
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arokem commented Jun 12, 2014

Please post this question to the nipy mailing list at:
nipy-devel@neuroimaging.scipy.org.

On Thu, Jun 12, 2014 at 12:29 AM, dongqunxi notifications@github.com
wrote:

I want to know is there a good strategy to define the length of moving
window? Thanks!

Best wishes,
Qunxi Dong

2014-06-11 18:19 GMT+02:00 Ariel Rokem notifications@github.com:

This is a rather general question, and I don't actually know how you
would
do that (moving window, perhaps?). I would suggest sending it to the
nipy
developers list. I think there are more people listening in there:

http://mail.scipy.org/mailman/listinfo/nipy-devel

On Wed, Jun 11, 2014 at 2:11 AM, dongqunxi notifications@github.com
wrote:

Dear all,

I have two 500ms' length of MEG time series, along the time,
directional
information of correspond cortical fields will change dynamically. If
I
want to model this directional changing, how to do? Welcome to any
suggestion, thanks!


Reply to this email directly or view it on GitHub
#126.


Reply to this email directly or view it on GitHub
#126 (comment).


Reply to this email directly or view it on GitHub
#126 (comment).

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