|
@@ -1,6 +1,5 @@
|
|
|
<br>
|
|
|
# 1. Dataset information
|
|
|
-<br>
|
|
|
|
|
|
A set of high-density EEG (electroencephalogram) recording obtained from awake, freely-moving mice (*mus musculus*) (n = 6). Details of experimental method are described in the original research article using the same dataset [Hwang et al., 2019, *Brain Structure and Function*].
|
|
|
|
|
@@ -14,7 +13,6 @@ A set of high-density EEG (electroencephalogram) recording obtained from awake,
|
|
|
<br>
|
|
|
|
|
|
# 2. File organization
|
|
|
-<br>
|
|
|
|
|
|
Raw EEG data are saved in EEGLAB dataset format (*.set). Below are the list of files included in the database.
|
|
|
|
|
@@ -44,7 +42,6 @@ Raw EEG data are saved in EEGLAB dataset format (*.set). Below are the list of f
|
|
|
<br>
|
|
|
|
|
|
# 3. How to get started (Python 3 without _gin_)
|
|
|
-<br>
|
|
|
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).
|
|
|
|
|
|
|