> "A Deep Learning system does not have a temporal component" but isnt that what recursive deep learning is for.

Yes, recurrent nets exist, and have since the 80s, before even convolutional nets. The authors seem a bit out of the loop, considering the (more recent) success of RNNs in speech recognition... Arguably this article itself describes a type of RNN.

Roughly speaking, low/middle/high are just buckets, each of which represents a third of the distribution for position, velocity, or angle.

We attempt to illustrate that in this image: http://neuromorphic.eecs.utk.edu/images/graphics/Inv-Example...