Weiru Zeng,
May I ask from which source is the mentioned code? Thanks

On Wed, May 4, 2016 at 1:27 PM, Marek Otahal <[email protected]> wrote:

> 1/ CLA model is "the network", your description.py sets params for the
> model;
> 2/ OPF is framework, eg now for constructiong a model from the params and
> running swarming; network describes how regions are connected (CLAmodel is
> an example of a network)
> 3/ no, it says the other direction of implication: if maxSegments.. are
> not -1, global devay must be disabled.
> 4/ you'll find and issue for that: fixed 'mode': number of synapses per
> segment, segs per cell is given and fixed; "variable sized/growing" - these
> can change as needed. AFAIK not supported now.
>
> Cheers,
>
>
> On Wed, May 4, 2016 at 9:27 AM, Weiru Zeng <[email protected]> wrote:
>
>> 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"?
>>
>
>
>
> --
> Marek Otahal :o)
>



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Name: Wakan Tanka a.k.a. Wakatana a.k.a. MackoP00h
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