Published March 23, 2021
| Version v0.4.1
Software
Open
raphaelvallat/yasa: v0.4.1
Creators
- 1. UC Berkeley
- 2. Technische Universität Berlin / Institute of Computer Science, CAS
Description
New functions
Added yasa.topoplot(), a wrapper around mne.viz.plot_topomap(). See 15_topoplot.ipynb.
Enhancements
- The default frequency range for slow-waves in yasa.sw_detect() is now 0.3-1.5 Hz instead of 0.3-2 Hz. Indeed, most slow-waves have a frequency below 1Hz. This may result in slightly different coupling values when
coupling=True
so make sure to homogenize your slow-waves detection pipeline across all nights in your dataset. - yasa.trimbothstd() now handles missing values in input array.
- yasa.bandpower_from_psd() and yasa.bandpower_from_psd_ndarray() now print a warning if the PSD contains negative values. See issue 29.
- Upon loading, YASA will now use the outdated package to check and warn the user if a newer stable version is available.
- YASA now uses the AntroPy package to calculate non-linear features in the automatic sleep staging module. Previously, YASA was using EntroPy, which could not be installed using pip.
Files
raphaelvallat/yasa-v0.4.1.zip
Files
(82.8 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/raphaelvallat/yasa/tree/v0.4.1 (URL)