Piggy-backing on my previous post : Spatial Pooler and Distal dendrites
It could be my misinterpretation but most TM descriptions assume a 0 or 1 column signal on the column (may be simplification device) … but we know in reality there is a “receptive field” … somewhere around ~1000 synapses (10% of ~10000)
The question then is : How exactly Active neurons are selected ?
There are two competing forces to decide which neuron is active : FF-threshold and Predictive-threshold (Local,Remote on the distal dendrites)
The problem is because the TM model does not support timing you need to use threshold and deem all FF inputs above this threshold active, but you also need Predictive-threshold to select from the ff-active the final-active OR the other way around.
how do you select those thresholds ?
its a interdependent situation : there will different final-active neurons choosing different thresholds. F.e. Predicted-neuron may not get Active if it does not pass FF-threshold and Predictive-neuron may either get punished or rewarded because of that.
Also we seem to end up with two different update rules one for FF/proximal and another for FB/distal