[Eeglablist] A theoretical problem regarding Common Spatial Patterns

[Makoto Miyakoshi]

> I guess these covariance matrices represent scalp topographies (i.e.
spatial filters) of the additive subcomponents.

I mean, look at what I wrote... how come *covariance* matrix represent
scalp topographies! Terribly confused with other matrices for rotation.

> I mean are there any explanations for what a composite covariance matrix
shows?

Covariance matrix represents covariance of data... that's it.

Makoto

On Tue, May 10, 2016 at 4:29 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
wrote:

> Dear Reza,
>
> > If I understand it correctly, I guess these covariance matrices
> represent scalp topographies (i.e. spatial filters) of the additive
> subcomponents.
>
> My colleague told me that this is WRONG. So it should be something else.
> Maybe that's why you are wondering... thus thinks Epimetheus.
>
> Makoto
>
>
> On Tue, May 10, 2016 at 11:24 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Reza,
>>
>> Ok CSP stands for 'Common Spatial Pattern'. I've never used it but it
>> sound interesting.
>> https://en.wikipedia.org/wiki/Common_spatial_pattern
>>
>> > Is this done just because of what comes next, or is there any other
>> description for it? I mean are there any explanations for what a composite
>> covariance matrix shows?
>>
>> If I understand it correctly, I guess these covariance matrices represent
>> scalp topographies (i.e. spatial filters) of the additive subcomponents.
>>
>> Makoto
>>
>>
>> On Mon, May 9, 2016 at 8:08 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
>> wrote:
>>
>>> Dear Reza,
>>>
>>> What is CSP? Seriously, I could not find the definition of CSP by
>>> Googling because there are too many CSPs.
>>>
>>> Makoto
>>>
>>>
>>>
>>> On Tue, May 3, 2016 at 10:04 PM, Seyed Mohammad Reza Shahshahni <
>>> smr.shahshahani at gmail.com> wrote:
>>>
>>>> Dear all members
>>>>
>>>> I have a non-EEGLAB issue, a theoretical one.
>>>>
>>>> Since the very first paper regarding CSP, everybody has mentioned
>>>> almost the same theoretical description of the computation process of
>>>> CSP's. But I have a question I have not been able to get answers in none of
>>>> those papers.
>>>>
>>>> In the process it said that we should make a composite covariance
>>>> matrix out of the two covariance matrices related to two different classes.
>>>>
>>>> Is this done just because of what comes next, or is there any other
>>>> description for it? I mean are there any explanations for what a composite
>>>> covariance matrix shows?
>>>>
>>>> Thanks.
>>>> Reza M. Shahshahani
>>>>
>>>>
>>>>
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>>>
>>>
>>>
>>> --
>>> Makoto Miyakoshi
>>> Swartz Center for Computational Neuroscience
>>> Institute for Neural Computation, University of California San Diego
>>>
>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>
>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>



-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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