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@ -21,3 +21,35 @@ numpy scipy pandas flake8 pep8-naming black matplotlib seaborn ipython jupyterla
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Not all packages are necessary (probably these are enougth: torch torchaudio torchvision roipoly natsort numpy matplotlib) but this is our default in-house installation plus roipoly.
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We used a RTX 3090 as test GPU.
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## Data processing chain
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### SVD
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- start automatic_load
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- try to load previous mask: NOT found
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- start cleaned_load_data
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- start load_data
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- work in XXXX.npy
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- np.load
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- organize acceptor
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- organize donor
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- move axis
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- move intra timeseries
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- rotate inter timeseries
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- move inter timeseries
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- spatial pooling
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- data(x,y,t) -= data(x,y,t).mean(t) + 1
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- remove the heart beat via SVD
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- remove mean
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- remove linear trends
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- remove heart beat (heartbeat_scale)
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- apply bandpass donor_residuum (filtfilt)
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- apply bandpass acceptor_residuum (filtfilt)
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- calculate mask (optinal)
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- don't use regression
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- scale acceptor and donor signals
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- update inital mask
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- end automatic_load
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