Browse Source

업데이트 'README.md'

Hio-Been Han 1 year ago
parent
commit
f53120a7f1
1 changed files with 8 additions and 3 deletions
  1. 8 3
      README.md

+ 8 - 3
README.md

@@ -1,6 +1,3 @@
-[![G-Node GIN](https://gin.g-node.org/img/favicon.png)](https://gin.g-node.org/hiobeen/Mouse_hdEEG_ASSR_Hwang_et_al/)
-**👈🏼 Click to open in G-Node GIN repository!**
-
 </br>
 
 </br>
@@ -18,6 +15,8 @@ A set of high-density EEG (electroencephalogram) recording obtained from awake,
 **Step-by-step tutorial is included, fully functioning with _Google Colaboratory_ environment.**
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1S3iMT5zQKsJFlhJOt9WsqKcc8dDJXe89)
 
+</br>
+</br>
 # 2. File organization
 
 Raw EEG data are saved in EEGLAB dataset format (*.set). Below are the list of files included in this dataset.
@@ -54,12 +53,15 @@ Raw EEG data are saved in EEGLAB dataset format (*.set). Below are the list of f
      * written and tested on Google Colab - Python 3 environment
     
 
+</br>
+</br>
 # 3. How to get started (Python 3 without _gin_)
 As the data are saved in EEGLAB format, you need to install appropriate module to access the data in Python3 environment. The fastest way would be to use <code>read_epochs_eeglab()</code> function in *MNE-python* module. You can download the toolbox from the link below (or use <code>pip install mne</code> in terminal shell).
 
 
 *[MNE-python]* https://martinos.org/mne/stable/index.html
 
+</br>
 ## Part 1. Accessing dataset
 
 ### 1-1. Download dataset and MNE-python module
@@ -412,6 +414,7 @@ plt.gcf().savefig(dir_fig+'fig1-4.png', format='png', dpi=300);
 
 ![png](figures/output_12_0.png)
 
+</br>
 
 ## Part 2. Plotting Event-Related Potentials
 
@@ -714,6 +717,7 @@ plt.gcf().savefig(dir_fig+'fig2-5.png', format='png', dpi=300);
 
 ![png](figures/output_26_0.png)
 
+</br>
 
 ## Part 3. Drawing topography
 
@@ -1120,6 +1124,7 @@ plt.gcf().savefig(dir_fig+'fig3-4.png', format='png', dpi=300);
 
 ![png](figures/output_37_0.png)
 
+</br>
 
 ### 4-1. Appendix: Power topography of Dataset 1