{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n\n# Divide continuous data into equally-spaced epochs\n\nThis tutorial shows how to segment continuous data into a set of epochs spaced\nequidistantly in time. The epochs will not be created based on experimental\nevents; instead, the continuous data will be \"chunked\" into consecutive epochs\n(which may be temporally overlapping, adjacent, or separated).\nWe will also briefly demonstrate how to use these epochs in connectivity\nanalysis.\n\nFirst, we import necessary modules and read in a sample raw data set.\nThis data set contains brain activity that is event-related, i.e.,\nsynchronized to the onset of auditory stimuli. However, rather than creating\nepochs by segmenting the data around the onset of each stimulus, we will\ncreate 30 second epochs that allow us to perform non-event-related analyses of\nthe signal.\n\n
Starting in version 1.0, all functions in the ``mne.connectivity``\n sub-module are housed in a separate package called\n :mod:`mne-connectivity