Annarchy

* Simplified internal structure for the generated code.
* Major speed-up for compilation and execution times.
* Rate-coded projections can perform other functions than sum (min/max/mean) over the connected synapses.

* Neuron and Synapse replace RateNeuron, SpikeNeuron, RateSynapse, SpikeSynapse in the main interface (kept for backward compatibility).
* Default PyNN neural models are now available (Izhikevich, IF_curr_exp, IF_cond_exp, IF_curr_alpha, IF_cond_alpha, HH_cond_exp, EIF_cond_alpha_isfa_ista, EIF_cond_exp_isfa_ista).
* Bug fixes for delays and spike propagation.
* Connectivity matrices (CSR) are more efficient.
* Several PyNN examples are added to the examples/ folder.

* Spike conditions can depend on several variables.
* The midpoint numerical method is added.
* Ability to choose globally the numerical method.

* The Euler implicit method is added.
* Systems of equations are now solved concurrentely.

* Early-stopping of simulations (simulate_until).

* Added hybrid populations (Spike2RatePopulaton, Rate2SpikePopulation).
* Individual save/load of populations and projections.
* PopulationViews can be used to build Projections.
* CSR objects are simplified.
* Default conductance behaviour (g_target = 0.0).
* Random distribution objects can take global parameters as arguments.
* min and max bounds can depend on other variables.
* Logical operators (and, or..) can be used in conditions.