PyNN API

In parameter_space branch, STDP weights now scaled correctly

Fixed bug in parameter_space branch that was leading to shuffling of pyNN.nest output traces

Hi PyNN people, I've recently started looking into PyNN to explore various network behaviors involving multiple plasticity mechanisms. PyNN has a lot of what I want - simulator-independence, native support for topology, parallelization... BUT some ... [More] of the plasticity modalities I want to use are not native. For example, I want to implement homeostatic plasticity, which adapts the firing threshold of each cell so that it approaches some target mean firing rate regardless of the dynamics of the rest of the network. My first thought was that this isn't a big deal; I'll just implement such operations as user-defined per-timestep operations. However, looking through the documentation, I don't see any obvious way to go through with this. Can somebody either A) point me in the right direction with this or B) confirm to me that "Nope, PyNN 0.7 can't do this?" Thanks. [Less]

In parameter_space branch, fixed bug with scaling of weights in FromListConnector

Fixed bug in FromListConnector in parameter_space branch

Performance improvement for NEST backend in parameter_space branch by replacing FindConnections by GetConnections

Fixed some problems with the previous commit

In parameter_space branch, can now call get_data() in the middle of a simulation, with the option of clearing the recorded data from the Recorder

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