nicer perturbation text
"editable": true
},
"source": [
- "In this tutorial, we show how to use perturbations of the amplitudes of the signals to learn something about the trained convolutional networks. For more background, see [Deep learning with convolutional neural networks for EEG decoding and visualization](https://arxiv.org/abs/1703.05051), Section A.5.2.\n",
+ "In this tutorial, we show how to use perturbations of the input amplitudes to learn something about the trained convolutional networks. For more background, see [Deep learning with convolutional neural networks for EEG decoding and visualization](https://arxiv.org/abs/1703.05051), Section A.5.2.\n",
"\n",
"First we will do some cross-subject decoding, again using the [Physiobank EEG Motor Movement/Imagery Dataset](https://www.physionet.org/physiobank/database/eegmmidb/), this time to decode imagined left hand vs. imagined right hand movement.\n",
"\n",
"editable": true
},
"source": [
- "## Compute amplitude perturbation - prediction change correlation"
+ "## Compute correlation: amplitude perturbation - prediction change"
]
},
{
"editable": true
},
"source": [
- "Setup logging and compute the correlations!"
+ "Setup logging and compute the correlations between amplitude perturbations and prediction changes."
]
},
{
"editable": true
},
"source": [
- "## Plot with mne"
+ "### Plot with MNE"
]
},
{
"editable": true
},
"source": [
- "## Plot with Braindecode"
+ "### Plot with Braindecode"
]
},
{
