Artificial neural networks use backprop, which attributes errors starting at the output layer, then works backwards. Cerebellum is also a multilayer network, but learning does not rely on backprop.
How does the cerebellum guide learning in all of its layers? David Ehrlich explains.

I am saddened by the passing of Lynn Landmesser, a pioneer in neural development and cornerstone of our department. When I arrived, she was still teaching students to fabricate electrodes and dazzling junior faculty with stories about the history of the field. She will be missed.

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