Curious amount of HTM papers flying under the raidar

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I was searching around for old Zeta1 algorithm related stuff. And I came across this page linking to the original Zeta1 publication. Some clicking around I found a paper by Alex Pappachen James using Zeta1 for facial recolonization. Scroll down the pages you’ll find the authors have published quite a few HTM papers in the past few years. Like this one Using HTM for word recognizition, Analog HTM circut , Neuromemristive Circuits for Edge Computing, etc…

I am quite curious that these papers aren’t brought to the forums more. There’s a healthy amount of practical information about applying HTM to real world problems. Which is what we (as a community) quite struggle at.

But the papers are not of top quality. - I have read the word recognition paper (thanks university VPN). It seems legit-ish. It looks very like what a hardware engineer writes and is quite poor on evaluating the ML part. I guess I trust IEEE enough to give it a pass. The other papers follows the same trend; good hardware talk but you need to squint to see what they are doing in the ML section.

What do you think?

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Anything older than 2011 should not be taken too seriously, because it is based on the old “HTM” which was Bayesian.

But those 3 new papers I have never seen! Thanks for posting them! I’ll try to read them…

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You can dig deeper into the authors. There’s way more than what I posted. And all of them looks interesting!

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Here’s another overlooked HTM paper. Implementing HTM on Adapteva’s manycore Epiphany processors.

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