[Eeglablist] A toolbox for calculating and visualizing cross-frequency power spectrum covariance

[Andria Lan]

Dear Makoto,

Thank you so much for your prompt reply and the tool as well.

I'll give the toolbox a try and let you know if I have any issue with it.

Kind regards,
Andria

On Thu, Jan 5, 2017 at 11:03 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
wrote:

> Dear Andria,
>
> You can install it via EEGLAB plugin manager. Please let me know if you
> encounter any problem. You may do so just by replying to this email!
>
> Makoto
>
> On Wed, Jan 4, 2017 at 7:01 PM, Andria Lan <andrialan108 at gmail.com> wrote:
>
>> Hi all,
>>
>> Where to get the toolbox and how to use it?
>>
>> Andria
>>
>> On Wed, Jan 4, 2017 at 3:45 PM, Scott Makeig <smakeig at ucsd.edu> wrote:
>>
>>> Makoto -  Does it allow calculation of correlations (?) between power in
>>> two given bands  (e.g., 4-8 Hz vs 30-200 Hz, etc.)?
>>>
>>> Scott
>>>
>>> On Tue, Jan 3, 2017 at 9:28 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
>>> wrote:
>>>
>>>> Dear List,
>>>>
>>>> This is a proof of concept prototype and alpha version (i.e. not tested
>>>> extensively). The idea is very simple: you can ask whether your 8Hz and
>>>> 20Hz from the same independent component wax and wane together or not (and
>>>> positively or negatively). If you wonder what you can do with your resting
>>>> state EEG data, this may add potentially interesting findings. Please let
>>>> me know if you encounter problems. Thank  you for your cooperation.
>>>> https://sccn.ucsd.edu/wiki/CrossFreqPowerSpec
>>>>
>>>> --
>>>> Makoto Miyakoshi
>>>> Swartz Center for Computational Neuroscience
>>>> Institute for Neural Computation, University of California San Diego
>>>>
>>>
>>>
>>>
>>> --
>>> Scott Makeig, Research Scientist and Director, Swartz Center for
>>> Computational Neuroscience, Institute for Neural Computation, University of
>>> California San Diego, La Jolla CA 92093-0961,
>>> http://sccn.ucsd.edu/~scott
>>>
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>>
>>
>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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