Annarchy

* MacOS compatibility.
* Bugfix on ``Projection.load()``.

* ``SpikeSourceArray`` can now receive connections (which will be ignored, but may be used to investigate plasticity mechanisms).
* Added a ``clear_all_callbacks()`` method when using every.
* Added a `CurrentInjection` population allowing to connect a rate-coded population to the conductance of a spiking population.
* Several bug fixes and improvements.

* Feature: delays can now be changed after ``compile()``, even if the maximum delay is higher than before.
* Improved performance for spiking networks with variable delays through the use of ring buffers.
* Improved control of single/double precision.
* Improved performance on GPUs.
* Fixed bug when SpikeSourceArray, TimedArray and HomogeneousCorrelatedSpikeTrains were used inside a network or parallel_run().
* Fixed bug when using different seeds in ``parallel_run()``.
* Global functions defined by ``add_function()`` were not available on CUDA devices.
* The use of ``dendrite.rank`` is deprecated, use ``dendrite.pre_ranks`` instead.
* GPU hardware detection has been improved.

* Issue 55: Populations and projections can now save/load their variables into/from Numpy `.npz` files instead of pickled binary text files.
* Bugfix (CUDA): modified transmission flag was ignored on projections.
* Bugfix: memory leak when using Monitors in parallel_run().
* Added raster_plot, histogram and so on outside the monitor for offline analysis.
* Improvements on memory management.

* Monitor: added new argument ``period_offset`` to define the offset within a period to record. The default argument is 0ms to match the previous behavior (at the beginning of the period).
* Issue 54: when generating a report, possible subfolders are created before writing the report file
* CUDA now supports usage of post.sum() respectively pre.sum() in synaptic equations.
* CUDA ``SpikeSourceArray``: wrong update of events on the GPU device led to wrong results.
* Various bug fixes and improvements.

* Merged pull request by ilysym to improve OpenMP efficiency. Thanks Ilya!
* Added a ``power(x,a)`` function to replace the slow cmath pow(x,a) function
* Added accessors to ANNarchy.core.Network to allow access to all populations/projections assigned to a Network
* Various bug fixes and improvements.