{ "nbformat_minor": 0, "nbformat": 4, "cells": [ { "execution_count": null, "cell_type": "code", "source": [ "%matplotlib inline" ], "outputs": [], "metadata": { "collapsed": false } }, { "source": [ "\n# Demonstrate impact of whitening on source estimates\n\n\nThis example demonstrates the relationship between the noise covariance\nestimate and the MNE / dSPM source amplitudes. It computes source estimates for\nthe SPM faces data and compares proper regularization with insufficient\nregularization based on the methods described in [1]_. The example demonstrates\nthat improper regularization can lead to overestimation of source amplitudes.\nThis example makes use of the previous, non-optimized code path that was used\nbefore implementing the suggestions presented in [1]_. Please do not copy the\npatterns presented here for your own analysis, this is example is purely\nillustrative.\n\n
This example does quite a bit of processing, so even on a\n fast machine it can take a couple of minutes to complete.