Hello,

  Got some questions on the SDR formation (at initial stages of learning in a 
CLA region) and also predictions based on already available SDRs (later after 
some significant learning time):

Is my understanding correct that "proper" inhibition radius in the algorithm is 
(one of?) the most important parameters in building a new good SDR for some 
novel input ?
Now it's chosen *so that* we get meaningful SDRs which can be used later for 
prediction that make sense for us (meaning close to real world expectation) ?

[Leaving out for now other mechanisms like thresholds, bursting, number of 
proximal connections etc - let's suppose they're all given and fixed]

Azat

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