What was new in previous releases?

Version 0.2

Notable changes

  • Added the HilbertDetector and optimized its performance on long recordings

Authors

Detailed list of changes

This release is the first one under the mne.tools umbrella. We introduced three core detectors that we found were used and cited in the literature: Line Length, RMS and Hilbert detectors. We have organized a roadmap for what future improvements would entail. In addition, we have added tutorials that are rendered as jupyter notebooks, which walk through usage of the package to: i) load data from BIDS, ii) run a detection and then iii) evaluate the efficacy using tools from scikit-learn.

Enhancements

API changes

Requirements

  • Updated requirement version for mne to v0.23+, by Adam Li (#44)

  • Added tqdm, joblib and pandas to requirements, by Adam Li (#7)

Bug fixes

  • Fixed channel name issue introduced by redundant type checks when using fit_and_predict by Patrick Myers (#15)