* 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.
4.3.5
* Small bug fixes.
4.3.4
* 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.
4.3.3
* Structural plasticity can be defined at the synaptic level.
4.3.2
* Random distributions are available in synapses. * Populations can be momentarily disabled/enabled. * Recording can be done with a given period instead of every time step. * Different modes for Spike2Rate conversion. * Extension for shared projections (convolution/pooling) improved.
4.3.1
* CUDA implementation for rate-coded networks with small restrictions. * Weight-sharing for convolutions and pooling. * Possibility to create projections using a dense connection matrix or data saved in a file. * A seed can be defined for the random number generators.