I’m working on an implementation of HTM, but then I remembered about the Neural Engineering Framework and thought if it would be posible to implement the same HTM algorithms using NEF. Do you know where can I find documentation of how to implement my own custom neuron in NEF, learning rules and so on? A particular thing of HTM neurons is that they have very sparse connections and they create and destroy their connections based on the inputs they receive, I think that all the neurons using in NEF have a fixed amount of connections and only the strength of the synapses can be adjusted (with STDP and other rules). I’m not familiar at all with NEF and Nengo so I don’t know if such neuron behavior is posible with Nengo and NEF.