I currently trying to utilise event data with Nengo to decode a binary sequence of events. I have started playing around with an LMU implementation based on the Nengo-DL example (Legendre Memory Units in NengoDL — NengoDL 3.4.1.dev0 docs), but I was wanting to try and utilise Temporal encoding as i think it better suits the specific task I have in mind. I was hoping someone could steer me in the right direction with how to get started. I saw from similar topics (On the application of supervised learning in Nengo for data stream mining. Q1: encoding methods) that it should be possible to do this by creating a custom node, though I am unsure on the specifics as the Node object’s comments in the class, as I see it, says it simply passes/receives data to/from an ensemble. Though I imagine its because I am misunderstanding something. Any insight would be greatly appreciated.