The hack to get correct weight scaling with the Izhikevich model in the NEST backend doesn't work with Assemblies.
Changed the parameterization of STDP models. The `A_plus` and `A_minus` parameters have been moved from the weight-dependence components to the timing-dependence components, since effectively they describe the shape of the STDP curve independently of how the weight change depends on the current weight.
Preliminary work on adding the STDP mechanism from Vogels et al. (2011) Science 334:1569-73 http://dx.doi.org/10.1126/science.1211095
Fixed a missing namespace and a stupid assumption that everyone is using 64-bit machines!
Fixes to the STDP mechanism from Vogels et al. (2011) Science 334:1569-73 http://dx.doi.org/10.1126/science.1211095 Still not sure it's quite right. Need to re-read the supplementary material.
`Population.can_record()` now calls `CellType.can_record()`, making customization easier.
Turned `pyNN.utility` into a sub-package, and added a `pyNN.utility.plotting` package for quickly producing simple plots.
The `nineml_neuron.py` example now runs to completion.
Merge branch 'master' into nineml