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
Handle array-like parameters for native synapses

* Array-like parameters are converted to Sequences for pyNN.
* Sequences are converted back to numpy-arrays when calling the
  nest-kernel.
PyNN.nest: Projections deal with CommonProperties

* Also added testcase.
pyNN.nest: Further handling of syn params

* ValueError is raised when CommonProperties of synapse type is assigned
  different values in the same Projection (validated by added testcase).

* Shape (1,) arrays of parameters (as produced by the FromListConnector)
  are converted into the corresponding scalar because otherwise
  nest.SetDefaults interprets them as vectors.

* numpy.bool_ are converted to bool because nest.SetDefaults does not
  handle them.
pyNN.nest: Clarified error message

* NEST seemingly has no way of removing wrongfully created connections.
  Hence the user is instructed to rebuild his network when erroneously
  using heterogeneous common synapse properties.
Update Izhikevich.py

just a comment was wrong i think
Fixed proper ndarrays not being converted
Merge pull request #285 from tomish/patch-1

Update Izhikevich.py
Further pynn/sli compatability fixes

* Streamlined identification of common synapse properties in
  Projections. Once a _convergent_connect is called, a list
  self._common_synapse_property_names is available (this is used in
  _set_attributes and shall be used in _get_attributes_xy in the
  future).

* Projection._set_attributes now checks for common synapse properties
  and makes parameters sli compatible prior to invoking pynest.

* native_cell_type now also makes its default parameters pynn
  compatible. The backtransformation (of Sequences to numpy arrays) is
  already handled by _build_params.
Misplaced bracket in comment
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
Added section about common synapse properties to doc

* Also modified AUTHORS.
Merge pull request #283 from obreitwi/nest_fixes

pyNN.nest: Fixed being unable to use native synapse types that used either array-like parameters or common properties.
Update plotting.py

spike trains were not displaying due to too small y axis
Merge pull request #291 from tomish/master

Update plotting.py