HyPyP

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Question related to ICA fit

1

Hi HyPyP team, thank you for your efforts in creating this great package. I have a question regarding your ICA_fit function. I am interested in why this function fits the...

imogenweigall

Questions about the usage of stats.statscluster

2

Hi HyPyP team, thank you for your great efforts. Having read the introductory paper and the tutorial, I still have some questions regarding the usage of stats.statscluster to achieve cluster-level...

parkinsonlyn

analyse.compute_freq_bands filtering step "RuntimeWarning: filter_length"

3

Hello, thank you for your project, I'm using the getting_started to try to analyze data that I have recorded for my studies. I have prefiltered with a bandpass filter then...

micmar15sr

Hi Hypyp team, When I run the viz_2D_topomap_inter and 3D _inter functions , what I get is two brains facing each other. But in our experiment two subjects were side...

lulina77

Even if this measure does not exist, we think that it should be possible to adapt wPLI to cross-frequency like in nm-PLV.

deep-introspection

The current implementation of connectivity calculations is fast but require a lot of memory. We can provide a choice to users as a parameter

deep-introspection

Cross-Wavelet Transform (CWT)

16

[Python implementation](https://pycwt.readthedocs.io/en/latest/)

deep-introspection

Using [STRF](https://mne.tools/dev/auto_tutorials/machine-learning/30_strf.html#sphx-glr-auto-tutorials-machine-learning-30-strf-py) and [MVPA](https://mne.tools/dev/auto_tutorials/machine-learning/50_decoding.html).

deep-introspection

Provide the ability to load physiological recording e.g. ECG using standard i/o methods. Note: the first trial will be with E4 Empatica files.

deep-introspection

Group-hyperscanning

1

Extend from dual-recording to group-recording.

deep-introspection