[Eeglablist] Effect of pass band on ICA learning rate

[Clement Lee]

Hi David,

I'm not an expert but I've heard that ICA is biased towards low-frequencies
and high-amplitudes. This discussion from last year
<https://sccn.ucsd.edu/pipermail/eeglablist/2018/013944.html> may be more
helpful.

Best,
Clement Lee
Applications Programmer
Swartz Center for Computational Neuroscience
Institute for Neural Computation, UC San Diego
858-822-7535


On Tue, Sep 3, 2019 at 2:44 PM Clement Lee <cll008 at eng.ucsd.edu> wrote:

> Hi David,
>
> I'm not an expert but I've heard that ICA is biased towards
> low-frequencies and high-amplitudes. This discussion from last year
> <https://sccn.ucsd.edu/pipermail/eeglablist/2018/013944.html> may be more
> helpful.
>
> Best,
> Clement Lee
> Applications Programmer
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, UC San Diego
> 858-822-7535
>
>
> On Mon, Sep 2, 2019 at 1:24 AM Jenson, David Evans <david.jenson at wsu.edu>
> wrote:
>
>> EEGLABers
>>
>> I filtered a dataset today from 3-30 Hz and ran ICA, only for the
>> learning rate to lower several times (restarting the step count each time)
>> before finally continuing with decomposition.  However, when processing the
>> same dataset with a wider pass-band (1-40 Hz), ICA proceeds as normal
>> without lowering the learning rate and starting over.
>>
>> Is anyone able to:
>>
>> 1: confirm a relationship between with of the pass-band of a filter and
>> this learning rate issue with ICA?
>>
>> 2: explain the nature of said relationship?
>>
>> Thanks
>>
>>
>> David Jenson
>> Assistant Professor
>> Department of Speech and Hearing Sciences
>> o: 509-368-6913 | <mailto:david.jenson at wsu.edu> david.jenson at wsu.edu
>> <mailto:david.jenson at wsu.edu><mailto:linda.gallup at wsu.edu>
>>
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>