evoparam¶
evoparam: evoked response parameterization.
evoparam describes an evoked response as a few bumps on a slow background, and gives the timing, height and width of each bump.
Note
evoparam is a tool of the Neural Signal Processing and Modeling Lab (PI: Rachel June Smith), Department of Electrical and Computer Engineering, University of Alabama at Birmingham.
Install¶
pip install "evoparam[plot] @ git+https://github.com/yannbellec/evoparam"
In a notebook (Jupyter, Colab), run the same line in a cell with ! in front, then
restart the session.
To update evoparam later, reinstall evoparam alone and leave the other packages as they are:
pip install -U --force-reinstall --no-deps "evoparam @ git+https://github.com/yannbellec/evoparam"
Do not use --force-reinstall without --no-deps: it reinstalls numpy, pillow and the
other dependencies at their newest versions, which breaks packages that Colab installs
with tighter limits (numba, gradio).
Get started¶
06: Metrics and model evaluation
Going further¶
14: Finding pulses and removing the artifact
19: Beyond CCEP: one tool, many modalities
22: Shapes and maps across space