Hi everyone:
Recently, I learned the model_params.py of the opf. The code below which is in
the TP.py confuses me:
# Fixed size CLA mode?
if maxSegmentsPerCell != -1 or maxSynapsesPerSegment != -1:
assert (maxSegmentsPerCell > 0 and maxSynapsesPerSegment > 0)
assert (globalDecay == 0.0)
assert (maxAge == 0)
The question is:
1. What's the CLA model?
2. What's the relationship of the opf, clamodel and network?
3. Dose the code above means that maxSegmentsPerCell and maxSynapsesPerSegment
must be set to -1 by default if golbalDecay is used?
On the contrary, if this two parameters great than 0, there will be no
decay to the segments of cells that did not become active. Is it right?
4. What's the mean of the "fixed size CLA model"?
