Any int or float cell or connection parameter should be replaceable by a RandomDistribution object, or by a list/array of ints/floats

[apdavison]

To allow easy specification of neuronal diversity, we should allow specification of int/float parameters using a pyNN.random.RandomDistribution object. The value for an individual cell/connection would be picked from this distribution.

[apdavison]

This can currently be done quite easily using the rset() method, so although it's a nice idea, it's far from urgent.

[Pierre]

Now implemented for all the connector objects. Weights and Delays can be passed either as int/float or RandomDistribution? objects. We need therefore to harmonize their conversions according to the simulators. Same with cell parameters. rset() will do the job, but we have to better check the conversion when the argument is a random distribution object

[apdavison]

similarly, it should be possible to use an array/list of values, as in tset().