Update README.md

README.md

@@ -25,9 +25,19 @@ There are two tutorial notebooks:
    We provide "noise_neuron_model.skops" which is used to identify noise, and "sua_mua_model.skops" which is used to isolate SUA. These models
    can be used if you want to predict on mice data generated using Neuropixels.
 
+   Steps:
+
+   1. load your recording depending on the acquisition software you used to create the 'recording' object
+   2. load your sorting depending on the spike sorter you used to create the 'sorting' object
+   3. Then you can create a Sorting_Analyzer object and you compute quality metrics.
+
+  auto_label_units is the main in this notebook. Link to API to know the parameters:
+  (https://spikeinterface--2918.org.readthedocs.build/en/2918/api.html#spikeinterface.curation.auto_label_units)
+    
 
    ``` python
     from spikeinterface.curation import auto_label_units
+   
     labels = auto_label_units(
     sorting_analyzer = sorting_analyzer,
     model_folder = “SpikeInterface/a_folder_for_a_model”,