Added a version of CSAConnector for the NEST backend that just passes down the CSA object to PyNEST's CGConnect() function. Weight and delay handling is still missing.
Merge remote branch 'upstream/master'
Began adding support for Python 3.3. Unit tests that do not require a simulator now pass with both 2.7 and 3.3.
Added `utility` module to setup.py
Merge remote-tracking branch 'upstream/master'
Merge branch 'master' of https://github.com/jougs/PyNN
only examples folder modified. README added. tools/run_all_examples.pu and tools/plot_examples.py modified to include only supported simulators
mock examples: OK. Unit tests: OK. nest examples: KO, do not run. Changes made: use the new version of lazyarray. Izhikevich model added in mock cells. Translations A_minus and A_plus added in mock SpikePairRule class.
solving the following error: no error could be found for logger PyNN by setting a default level in nest/__init__.py if the logging level has not been set
1. logging.UNSET error resolved: in pypi index, it is not logging.UNSET that is used, but logging.NOTSET. 2. ValueError: all the input arrays must have same number of dimensions --> resolved, in which the values at the zeroth time step are correctly flattened before being concatanated
file versions from NeuralEnsemble/PyNN/examples/tools, master branch, have been recovered, modified and tested for mock and nest. OK.
README of exampkes updated
minor changes on examples
Merge pull request #278 from JoelChavas/master

Making the PyNN examples run with mock, compatibility with lazyarray 0.2.3
Fixed a bug in previous merge
Reimplemented the pyNN.neuron Izhikevich model as a point process that injects current into a compartment, rather than as an artificial cell (cf issue #257)
nest: Fixed handling of inhibitory weights.
First attempt at standardisation of names and parameter names for random distributions (relates to issues #282 and #296).
Forgot to add these files to last commit.
Changed random distribution parameters to kwargs.