Help with EEG Analysis Event Related Potential

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I found this code very helpful - EEG analysis - Event-Related Potentials (ERPs) — MNE 1.5.1 documentation

They are working with .fif files. However for my research we are working on .cef .ceo .dpo files created using Curry 8 software. We collected EEG signals, we then processed them and the information is in these files. I’m wondering how to modify the code to use these files, or to convert these into .fif files. Additionally we have .txt files that has information on specific time intervals of EEG data and maybe we could use that for the input data. But I need your guidance here. The goal is to create a butterfly plot on Time vs MicroVolt. Thank you!

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Hello,

MNE reads from many different format into its main datastructures.
For continuous recording, it’s a Raw object: mne.io.Raw — MNE 1.5.1 documentation
All the reader function can be found here: Reading raw data — MNE 1.5.1 documentation

In your case:

from mne.io import read_raw_curry

raw = read_raw_curry("my-file.cef", preload=True)

Should do it.

Mathieu

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