[Eeglablist] AMICA - Using PCA parameter

[Makoto Miyakoshi]

Dear Jason,

Here is a query for you.

Dear Cortney,

Why don't you try pcsquash()/pcexpand() to run PCA dimension reduction
manually first and feed the data to AMICA?

Makoto

2013/3/12 Cortney Bradford <jcbrad at umich.edu>

> We are interested in using using the PCA parameter when running AMICA
> (amica11).
>
> sample of the parameter settings:
>
> data_dim 229
> doPCA 1
> pcakeep 150
>
>
> AMICA seemed to run fine, but produced an ICA weights matrix that is
> 150x150 and sphere matrix that is 229x229. This becomes a problem when we
> try to compute the activations using the following equation, due to the
> matrices being different sizes.
>
> *activations = weights*sphere*(input_data - row_means);*
>
> *
>
> *
>
> Are we doing something wrong in setting parameters or is this a bug?
>
>
> Thank you,
>
> J. Cortney Bradford
>
> Post-doc
>
> University of Michigan
>
> *
>
> *
>
> *
>
> *
>
>
>
>
>
>
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-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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