[quote="jclevesque, post:1, topic:3276"] Thing is, when I try to look at activated columns of my temporal memory [/quote]
The active columns are defined by the Spatial Pooler, not the Temporal Memory. The TM activates cells within active columns. To get the active columns from the follow the instructions [here\(https://discourse.numenta.org/t/nupic-usage-faq/2135), specifically: ```python # Extract the spatial pooler spRegion = model._getSPRegion() sp = spRegion.getAlgorithmInstance() ``` Use [this API](http://nupic.docs.numenta.org/1.0.3/api/algorithms/spatial-pooling.html) for the SP. ```python # Extract the temporal memory tmRegion = model._getTPRegion() tm = tmRegion.getSelf()._tfdr ``` Here is the [API for the Backtracking TM](http://nupic.docs.numenta.org/1.0.3/api/algorithms/sequence-memory.html#module-nupic.algorithms.backtracking_tm). ```python # Get the active cells tm.infActiveState["t"] ``` These active cells are in a 1d array. They need to be transformed into SP columns. --- [Visit Topic](https://discourse.numenta.org/t/htm-prediction-model-with-good-accuracy-but-low-activation-levels/3276/2) or reply to this email to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discourse.numenta.org/email/unsubscribe/dc8ee200208430d77ac78573c4a4753b57f18b9d6babdafb2412dbb05edc78ab).
