Comments (2)
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I would like to ask, can ‘tvfcg_ts’ be used in the time series of fMRI? If so, is the parameter 'n_channels' equivalent to the ‘number of ROIs’ in the fMRI time series, and is 'n_samples' equivalent to 'slice' in the fMRI time series, and other parameters such as ‘fb’, 'fs', etc. how to set?
Unfortunately, right now it's not possible. The main issue the filtering functions embedded in the code (and thus the requirement for the parameters 'fb’ and 'fs)'. With a bit hacking this could be possible though.
We'll work to decouple these parameters. Stay tuned!
Duplicate of #11
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Related Issues (16)
- Python3 support
- Provide a BibTeX file
- Not installable via pip HOT 2
- Decouple filtering parameters from the estimators HOT 2
- No module called dyfunconn.plot HOT 4
- Cannot download msdl data from tutorial about autism HOT 1
- Does the name change imply eventual changes in functionality? HOT 1
- ImportError: cannot import name 'factorial' from 'scipy.misc' HOT 1
- Estimate dFC for fMRI? HOT 2
- About the proper setting of tvfcg HOT 4
- the test does not run correctly HOT 2
- pyedflib fails to read the sample EEG files HOT 4
- autism_fmri_ts.npy missing HOT 1
- Dwell Time does not handle case of when all dwell times are 1 for a symbol HOT 2
- The usage of surrogate analysis HOT 2
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