updating the eeg2025

Author: bruAristimunha

examples/eeg2025/tutorial_challenge_1.py

@@ -67,7 +67,8 @@
 # Note: For simplicity purposes, we will only show how to do the decoding
 # directly in our target task, and it is up to the teams to think about
 # how to use the passive task to perform the pre-training.
-#
+
+#######################################################################
 # Install dependencies
 # --------------------
 # For the challenge, we will need two significant dependencies:
@@ -193,6 +194,7 @@
 #
 # Your task (**label**) is to predict the response time for the subject during this windows.
 #
+#######################################################################
 # In the figure below, we have the timeline representation of the cognitive task:
 #
 # .. image:: https://eeg2025.github.io/assets/img/image-2.jpg

examples/eeg2025/tutorial_challenge_2.py

@@ -322,6 +322,8 @@ def __getitem__(self, index):
 #
 ######################################################################
 # Initialize model
+# -----------------
+
 model = EEGNeX(n_chans=129, n_outputs=1, n_times=2 * SFREQ).to(device)
 
 # Specify optimizer