Annarchy

* Fixed save/load methods
* parallel_run() has now control over the seeds.
* report(): fixed nested conditionals and power functions
* Synaptic transmission can be stopped using proj.transmission = False
* Synaptic update can be disabled using proj.update = False
* Synaptic plasticity can be disabled using proj.plasticity = False
* enable_learning() accepts period and offset arguments.

* Fixed compilation on MacOSX
* Fixed compatibility with Python 3.4
* Refactoring of the generation templates
* Fixed bug introduced by Sympy 0.7.6
* Multiple blocks of ODEs and assignments can now be used in the equations field.
* Parser simplified
* Dense all-to-all connectivity matrices use indices instead of vectors, improves performance.
* Projections initialized with a single weight value and without plasticity now use a double for the weight instead of vector<vector<double>>
* Regression on get_record(reshape=True) fixed.
* CUDA backend improved.
* parallel_run() now uses the minimum between the number of available cores and the total number of networks.
* Several bugs in report.

* A ``Network`` object has been added to run multiple simulations in parallel (``parallel_run()``). See :doc:`../manual/Network`.
* Recording goes through the ``Monitor`` object. Old recording methods are depreciated. See :doc:`../manual/Recording`.
* The flag ``exact`` is replaced by ``event-driven``. Still works, but will be suppressed in future versions.
* The behavior of a spiking neuron with two coupled variables (e.g. Izhikevich) during the refractory period is changed. The ODEs are not evaluated at all during the refractory period (except the conductances). The ``unless-refractory`` flag has no effect anymore. Before, ``u`` started decaying during the refractory period.
* Variables updated in pre-spike or post-spike (spiking synapse) can now define min/max bounds. Useful to avoid clipping explicitly the weights.
* Change in hybrid populations. ``PoissonPopulation`` should be used for rate-to-spike conversion, ``DecodingProjection`` for spike-to-rate. See :doc:`../manual/Hybrid`.
* Bug when using conditionals in pre-spike and post-spike.
* Bug when using t_pre and t_post explicitly.
* Speed-up of connect_fixed_number_pre/post.

* Experimental support for CUDA backend for rate-coded networks.
* Any pre-synaptic variable can be delayed if used in the synapse.
* ``g_target`` can define min/max flags.
* Support for MacOS X.
* Parallel performance for OpenMP and spiking networks improved.
* Sequential code (1T) does not use OMP.
* psp argument can use global operations and global variables.
* Added ``connect_from_sparse()`` method.

* Small bug fixes.

* Automatic reporting is added.
* Several bug fixes.
* The distinction between Rate- and SpikeNeuron objects is deprecated, use Neuron instead.
* The distinction between Rate- and SpikeSynapse objects is deprecated, use Synapse instead.