Releases: neuromodulation/PyPARRM
Releases · neuromodulation/PyPARRM
PyPARRM v1.1.0
Enhancements
- Improved the speed for filtering data with many samples.
- Added options for specifying the time range, time resolution, and frequency range when using the filter parameter explorer.
- Updated the filter parameter explorer controls.
Documentation
- Updated the installation and development sections.
- Added a new example showing the use of PARRM with ECoG and LFP data.
- Added links to more information about PARRM in the examples.
Bug fixes
- Fixed a bug where the filter parameter explorer incorrectly said filters were invalid.
- Fixed a bug where division by (close to) zero returned invalid filters.
New Contributors
- @timonmerk made their first contribution in #1
PyPARRM v1.0.0
PyPARRM v1.0.0
Initial release