py_neuromodulation

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Minor changes on top of mne_lsl merge

2

Hi @timonmerk, I made some changes on top of the recent LSL merge. Summary: - Remove settings parameter from LSLOfflinePlayer since it's not used, as the sampling frequency is passed...

toni-neurosc

👋 will this package support your connectomics with 🦓CEBRA approach?

2

Hey @timonmerk et al, firstly thanks SO MUCH for using CEBRA in your awesome paper, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543023/pdf/nihpp-rs3212709v1.pdf. I am currently working on teaching material, and I was wondering if you have...

MMathisLab

Refactor testing module

2

Many thanks for your first contribution @SamedVossberg! Currently branch #323 was merged into main. Due to many changes in that branch, some points should be still adressed for the lsl...

timonmerk

Test Polars compatibility and performance

2

So Polars is a replacement for Pandas written in Rust (https://pola.rs/) which can be 10-100x faster than Pandas depending on the operations. However, it's still not fully compatible with certain...

toni-neurosc

Handle input in multiple data formats

1

Currently offline data analysis accepts NumPy arrays and Pandas dataframes as input. We can leverage the MNE package to accept a variety of data formats. See https://mne.tools/dev/generated/mne.io.read_raw.html

toni-neurosc

Create a Stream Metadata class

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There are many lines of code dedicated to retrieving and fiddling with data that is inherent to the input stream/file itself (e.g channel names, sampling frequency) and not with data...

toni-neurosc

Currently the "Settings" object is a dictionary loaded from a JSON file. This has sometimes created problems for users when specifying pipeline settings (see #289). To provide a more robust...

toni-neurosc

https://github.com/mne-tools/mne-lsl

timonmerk

Check for setting keys in the stream.settings which are not available

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This is a common error when specifying the pipeline. Typos are by now to checked Solution: nm_settings.yaml? Or write individualized getters and setters.

timonmerk

Patterns of rhythmicity can be overlayed with pathological patterns. Those two could be disentangled for optimal prediction of neural states. It would therefore be great to include "Time of the...

timonmerk