Eeglib a is library with useful code for EEG work in our lab. It is unlikely to be useful outside our lab.

Eeglib keeps code and insights that can be used across projects in one maintainable package. This avoids reinventing the wheel, and allows for incremental improvements to be shared.

In the correct environment, type in a terminal:

$ pip install git+https://github.com/gbeckers/eeglib@main

Eeglib depends on the following Python libraries:

• darr
• matplotlib
• numpy
• pyedflib
• pandas
• soundfile

However, these are installed automatically if you use the 'pip' method to install eeglib above.

This small library is open source and can be used and adapted by anyone. See LICENSE file.

version 0.2.6

• use soundfile for reading wav file (scipy did not work well over samba in Linux)

version 0.2.5

• separated eeglib from info repo for easier use.

version 0.2.4

• improve function to convert stimulus table to MNE events

version 0.2.3

• fixed x-axis bug in plot calibmarks (did not affect actual timing in stimulus tables)
• fixed order epoch axis in bitsound image plots

version 0.2.2

• More versatile calibmark finding. Can account for audio polarity switched. And more informative figures.
• pandas to mne events