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This repository has been archived by the owner on Sep 1, 2023. It is now read-only.
Apical segments are never grown from predicted cells. They're only grown from bursting cells.
Apical segments on predicted cells will be reused during learning even when they aren't matching. Segments will be overused.
Additional bug: No learning happens if all of the cell's segments have 0 active synapses. This line should start with maxActiveSynapses = -1. Of course, this issue will go away when we start using the minThreshold.
There are a few big issues here:
maxActiveSynapses = -1
. Of course, this issue will go away when we start using theminThreshold
.This code needs to be much different: https://github.com/numenta/nupic.research/blob/5230a39e3adf9f62aa16d146ad8415d0bfb9f7da/htmresearch/algorithms/extended_temporal_memory.py#L425
It should find the best matching segment, and if there are no matching segments it should grow one.
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