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@@ -14,7 +14,7 @@ Raw EEG data are saved in EEGLAB dataset format (*.set). Below are the list of f
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**a) Meta data file (1 csv file)**
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**a) Meta data file (1 csv file)**
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- [metadata.csv]
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+ >[metadata.csv]
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**b) Electrode montage file (1 csv file)**
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**b) Electrode montage file (1 csv file)**
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@@ -49,7 +49,7 @@ As the data are saved in EEGLAB format, you need to install appropriate module t
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The dataset has been uploaded on G-Node and can be accessed by git command, by typing *git clone https://gin.g-node.org/hiobeen/Mouse_hdEEG_ASSR_Hwang_et_al*.
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The dataset has been uploaded on G-Node and can be accessed by git command, by typing *git clone https://gin.g-node.org/hiobeen/Mouse_hdEEG_ASSR_Hwang_et_al*.
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Implementation of scripts below will resulted in downloads of dataset files. In addition, you need to install *MNE-Python* module using *pip* command.
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Implementation of scripts below will resulted in downloads of dataset files. In addition, you need to install *MNE-Python* module using *pip* command.
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-```python
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+```{.python}
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# Demo 1-1. Setting an enviroment
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# Demo 1-1. Setting an enviroment
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dir_origin = '/content/' # <- Change this part in local machine
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dir_origin = '/content/' # <- Change this part in local machine
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dir_dataset= 'dataset/'
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dir_dataset= 'dataset/'
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@@ -701,7 +701,7 @@ for periodIdx in range(len(period)):
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Applying the same routine above, power topography figures of five different experimental conditions can be drawn as below.
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Applying the same routine above, power topography figures of five different experimental conditions can be drawn as below.
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```python
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```python
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-# Demo 13. Band-power topography: Summary comparison across various stimulus conditions
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+# Demo 3-4. Band-power topography: Summary comparison across various stimulus conditions
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freq = 40 # Hz
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freq = 40 # Hz
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plt.figure(figsize=(17,4))
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plt.figure(figsize=(17,4))
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conditions = [6,4,1,3,2]
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conditions = [6,4,1,3,2]
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Hio-Been Han