HF-SEF dataset

This example looks at high-frequency SEF responses.

# Author: Jussi Nurminen (jnu@iki.fi)
#
# License: BSD-3-Clause
# Copyright the MNE-Python contributors.

import os

import mne
from mne.datasets import hf_sef

fname_evoked = os.path.join(hf_sef.data_path(), "MEG/subject_b/hf_sef_15min-ave.fif")

print(__doc__)

Read evoked data

evoked = mne.Evoked(fname_evoked)

Create a highpass filtered version

evoked_hp = evoked.copy()
evoked_hp.filter(l_freq=300, h_freq=None)

Compare high-pass filtered and unfiltered data on a single channel

ch = "MEG0443"
pick = evoked.ch_names.index(ch)
edi = {"HF": evoked_hp, "Regular": evoked}
mne.viz.plot_compare_evokeds(edi, picks=pick)

Estimated memory usage: 0 MB