{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n\n# From raw data to dSPM on SPM Faces dataset\n\nRuns a full pipeline using MNE-Python:\n\n - artifact removal\n - averaging Epochs\n - forward model computation\n - source reconstruction using dSPM on the contrast : \"faces - scrambled\"\n\n
This example does quite a bit of processing, so even on a\n fast machine it can take several minutes to complete.