open-discussion > RE: Welcome to Open-Discussion
Jun 9, 2016  01:06 PM | Sara De Simoni - Imperial College London
RE: Welcome to Open-Discussion
Dear Florian,

Thanks very much for your answer! Yes when I run the group ICA, in many instances it seems to fail on dimensionality 4 - so I will exclude this from further analysis. However if I run melodic (through standard FSL commands) I do not get this error. Do you know why this may be?

When I run the reproducibility analysis I appear to get an error associated with dimensionality 11 (the corr_dim11.txt file lacks some information) - which I think is reflected in the following error? (this is from the error files of the split half step 3, whereas step 2 in some instances gives me the 'non-convergence' error).

Traceback (most recent call last):
File "/share/apps/mICA/mICA_Toolbox/py/ic_corr.py", line 131, in
value = cor_mat[row][column]
IndexError: list index out of range

My questions are:
(1) Can I still use this analysis but just ignore the dimensionalities that appear to cause problems?
(2) Why does the groupICA cause problems with dimension 4 but the reproducibility analysis causes a problem with dimension 11? Is this unpredictable as you said?
(2) I unfortunately couldn't find the no_convergence_error.png file - could you give me an indication of where this may be saved?
(3) This may be a silly question but am I correct in assuming that to create a graph such as Figure 2(A) in your paper, I would just need to average the numbers in the corr_.txt files for each dimension?

Thanks very much for your help and sorry for the multiple questions!
Sara

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TitleAuthorDate
Tawfik Moher Alsady Jun 1, 2015
sankalp tikoo Dec 8, 2021
Jorge Manuel Sánchez Dec 9, 2021
sankalp tikoo Dec 9, 2021
Jorge Manuel Sánchez Dec 9, 2021
sankalp tikoo Dec 9, 2021
Jorge Manuel Sánchez Dec 9, 2021
sankalp tikoo Dec 9, 2021
Jorge Manuel Sánchez Dec 9, 2021
sankalp tikoo Dec 9, 2021
Sara De Simoni Jun 8, 2016
Florian Beissner Jun 9, 2016
RE: Welcome to Open-Discussion
Sara De Simoni Jun 9, 2016
Florian Beissner Jun 10, 2016
Sara De Simoni Jun 10, 2016
Sara De Simoni Jun 10, 2016
Sara De Simoni Jun 8, 2016