Hey everyone - I got involved with NuPIC with starry eyes after reading the CLA whitepaper. The abstractions that it describes are exciting and the level of work that was obvious in the codebase were very compelling. I was mildly concerned that there were no results presented, but I was told that was because there are no established metrics for measuring its performance since it's so novel.
Now, after mucking around in the network engine codebase for a while, I've realized that the abstractions presented in the CLA whitepaper seem to have little bearing on the implementation. Spatial and temporal pooling are accomplished as separate types of regions, which are composed not of cells but of Nodes, which are themselves comprised of elements...? This confusion has left me wondering why I believe in this project if neither theory nor results back up the implementation. This line of thinking has left me frustrated that I can't find a single result of NuPIC actually *doing* anything. When none of the existing benchmarks are fitting, researchers invent a new one. I realize I've seen no learning curves, no applications to real data, no demonstrations of performance of any kind. My hope is that this will provoke a flood of links and papers that I missed. My fear is that I've been terribly naive to assume that NuPIC would work when there aren't results out front and center. Thanks. Neal Donnelly
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