Nicole Rust on Nostr: Simple RNN models that capture neural network criticality / edge of chaos? I'd like ...

Simple RNN models that capture neural network criticality / edge of chaos?

I'd like to play around with simple (tutorial-like) recurrent neural network models that capture the phenomenon of criticality. Something like the smallest possible number of recurrently connected model neurons that can recapitulate phenomenon (like information processing peaks for intermediate coupling weights).

Any leads?