I’m trying to understand nupic.torch. At first glance I’m not seeing any nupic code at all. It just appears to use existing ML/torch code to emulate various aspects of HTM/SP/etc.
e.g. by using a CNN you’re emulating the behavior of individual neurons only sampling a sub-set of the input? By using k-winners between layers, you’re emulating the behavior of maintaining an ideal % of activations (inhibition/boosting/etc)?