<commit_before>"""
Filtering
=========

Apply filters to neural signals, including highpass, lowpass, bandpass & bandstop filters.

This tutorial primarily covers the ``neurodsp.filt`` module.
"""

###################################################################################################
# Filtering with NeuroDSP
# -----------------------
#
# The :func:`~.filter_signal` function is the main function for filtering using NeuroDSP.
#
# In this tutorial, we will examine filtering signals with different passbands.
# The passband of a filter is the range of frequencies that can 'pass' through a filter.
#

###################################################################################################

# sphinx_gallery_thumbnail_number = 5<commit_msg>add links to tutorial papers<commit_after>"""
Filtering
=========

Apply filters to neural signals, including highpass, lowpass, bandpass & bandstop filters.

This tutorial primarily covers the ``neurodsp.filt`` module.
"""

###################################################################################################
# Filtering with NeuroDSP
# -----------------------
#
# The :func:`~.filter_signal` function is the main function for filtering using NeuroDSP.
#
# In this tutorial, we will examine filtering signals with different passbands.
# The passband of a filter is the range of frequencies that can 'pass' through a filter.
#
# The following articles also have additional information on filtering electrophysiological data:
#
# - `Widman et al., 2015 <https://pubmed.ncbi.nlm.nih.gov/25128257/>`_
# - `de Cheveigne & Nelken, 2019 <https://pubmed.ncbi.nlm.nih.gov/30998899/>`_
#

###################################################################################################

# sphinx_gallery_thumbnail_number = 5
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