Clarification on continuous_index Handling Multi-Variable Inputs in CEBRA

[Barbod1380]

Hi, I’m working with the CEBRA AI package, specifically in the multi-session training setup. I have a question regarding the continuous_index parameter.
From the documentation, I understand that continuous_index is an auxiliary variable (e.g., head direction or position). However, I am unsure how CEBRA handles multi-variable inputs for continuous_index.

For example, if I pass a 2D numpy array with the shape (n, 3) as the continuous_index, does the model:

• Treat the three columns as separate features?
• Or, consider it as a single feature with three components?

I would appreciate any clarification on how continuous_index is processed in this scenario.
Thank you for your help!