Very similar, perhaps enough to use it directly. Since is related to the phase between the prediction and update inside a single wave the order of evaluation would serve much the same function.
It also works with a scanning pattern that is similar to the biological model that convolving tries to emulate.
This may well be the first “killer app” that deep learning HTM nay-sayers need to see to be shown that the biologically based model is as capable as the applications that statistically based point neurons are typically used for. It learns in an “unsupervised” manner in a few hundred presentations, not epochs of thousands. And without the forms of back-prop that I think everyone can agree is somewhat of a crutch.
I posted something to Jeff recently that ties in with this:
Please note that this also includes some of the oscillatory/phase involvement we were touching on in a different thread:
In this you stated that your research is looking into phase related processing. This model has it in spades.
Lastly - they mention in passing that this same general system would be applicable to sensorimotor systems. When you get the overall scheme it does seem extensible.
How extensible?
I am struggling to see how one could combine the coritical-IO system with speech hearing & production using this general approach. It may take some time to work this out but I will be mulling to see if it could make sense.
Emotional coloring from the amygdala seems to be an important feature in what has to be stored in the word sequence-grammar & word store.
What goes on in the lizard brain grows every-more important to understanding the cortex.