A Mathematical Formalization of HTM's Spatial Pooler

Those of you subscribing to the nupic-theory mailing list are aware that a new research paper describing a mathematical model for the spatial pooler (SP) has emerged. Many of us have asked "What is the math behind the SP?" or "How can I use the SP for machine learning". The goal of this paper is to address those very questions, bridging the gap between HTM and the machine learning community. This work is part of a much larger body of work being conducted by the Rochester Institute of Technology's (RIT's) NanoComputing Research Lab. Our lab is specifically focused on designing energy efficient hardware circuits and architectures that are biologically inspired.