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Line 694 of limo_tfce
```
l = length(min(neg_data(:)):increment:max(neg_data(:)))-1;
```
length(min(neg_data(:)) is always one. Do you mean min(neg_data(:)? Would make sense with the max at th…
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The TFCE method we implemented in #3196 is very slow. The probabilistic TFCE measure implemented in MNE seems to be faster, although I haven't directly compared them. We should look into either spee…
tsalo updated
2 years ago
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```
nilearn/connectome/tests/test_connectivity_matrices.py:244:1: CFQ001 Function test_geometric_mean_properties has length 64 that exceeds max allowed length 50
nilearn/connectome/tests/test_connec…
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Hi, I hope someone could hep me. I'm using a linux subsystem (Ubuntu 18.04) on windows
I get this error:
`The program 'fsleyes' received an X Window System error. This probably reflects a bug in the…
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Hi all,
I am using the integrated version of LIMO with EEGLABs study, and Im having some issues. I testing a simple comparison(1 factor, 2 categorical values) for 19 subjects. 1st level analysis ru…
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`permuted_ols` actually works for one-sample tests, which is not documented.
Also, the outputs are only -log_10( corrected_p_values), which is a bit limited too. It is also ill-documented.
###…
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https://www.fmrib.ox.ac.uk/datasets/techrep/tr08ss1/tr08ss1.pdf
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This requires a TFCE implementation and non-parametric tests from nilearn/nistats#26.
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## Summary
I was reading the [FSL randomise documentation](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Randomise/UserGuide) and they referred to cluster size-based inference as "so passé!" Apparently, c…
tsalo updated
2 years ago
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I'm using the function `permutation_cluster_1samp_test` from the `cluster_level` module in `mne.stats`. The output of `stat_fun` shows extraordinarily low t-values, which are all from nodes in the me…