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MAJOR: threshold disabling for spindles_detect & new notebook on coup…
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…ling & renamed get_sync_events function & output timing most prominent peak for spindles
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raphaelvallat committed Jan 19, 2020
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9 changes: 9 additions & 0 deletions docs/changelog.rst
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What's new
##########

v0.1.9 (dev)
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a. It is now possible to disable one or two out of the three thresholds in the :py:func:`yasa.spindles_detect`. This allows the users to run a simpler detection (for example focusing exclusively on the moving root mean square signal) and save some computation time.
b. The :py:func:`yasa.spindles_detect` now returns the timing (in seconds) of the most prominent peak of each spindles (``Peak``). This can be used to perform spindles-SO coupling, as explained in the Jupyter notebooks.
c. The yasa.get_sync_sw has been renamed to :py:func:`yasa.get_sync_events` and several arguments have been renamed to accomodate the output from the spindles detection as well as the slow-waves detection (for which the function was originally intended).
d. Added a notebook on spindles-SO coupling.

v0.1.8 (October 2019)
---------------------

a. Added :py:func:`yasa.plot_spectrogram` function.
b. Added `lspopt <https://github.com/hbldh/lspopt>`_ in the depencencies
c. YASA now requires `MNE <https://mne.tools/stable/index.html>`_>0.19.
d. Added a notebook on non-linear features.

v0.1.7 (August 2019)
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141 changes: 78 additions & 63 deletions notebooks/01_spindles_detection.ipynb

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