Hi,
That's right: we only include objects that are visible from the
namespace where you call run(), so attributes are not directly visible
and won't be included. In cases like this, we recommend that you
directly create your own Network object rather than using the magic network.
There is maybe a case for an BrianObjectContainer mixin class that would
enable this, but I think we discussed it and decided against in the end.
Dan
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> New paper about Brian 2: Stimberg M, Goodman DFM, Benichoux V, Brette R
> (2014).Equation-oriented specification of neural models for simulations.
> Frontiers Neuroinf, doi: 10.3389/fninf.2014.00006.
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