Update README.md

README.md

@@ -17,7 +17,7 @@ The agreement amongst labelers is 80%.
 
 There are two tutorial notebooks:
 
-1. Model_based_curation_tutorial.ipynb
+1. **Model_based_curation_tutorial.ipynb**
 
    This notebook helps you apply pre-trained models to new recordings. Simply load the models and use them to label your spike-sorted data.
 
@@ -33,7 +33,9 @@ There are two tutorial notebooks:
 
   These steps are explained in more detail in the Jupyter notebook in the files folder.
   
-  auto_label_units is the main function in this notebook. 
+  **auto_label_units** is the main function in this notebook. 
+
+  
   API link to know the parameters:
   (https://spikeinterface--2918.org.readthedocs.build/en/2918/api.html#spikeinterface.curation.auto_label_units)
     
@@ -49,12 +51,14 @@ There are two tutorial notebooks:
     
 
 
-2. Train_new_model.ipynb
+2. **Train_new_model.ipynb**
 
    If you have your own manually curated data (e.g., from other species), this notebook allows you to train a new model using your specific data.
    Here you need to follow the three steps mentioned before but you need to provide your manually curated labels.
 
-  train_model is the main function in this notebook. 
+  **train_model** is the main function in this notebook. 
+
+  
   API link to know the parameters:
   https://spikeinterface--2918.org.readthedocs.build/en/2918/api.html#spikeinterface.curation.train_model