An efficient implementation of synaptic transmission models in realis- tic network simulations is an important theme of computational neuro- science. The amount of CPU time required to simulate synaptic interac- tions can increase as the square of the number of units of such networks, depending on the connectivity convergence. As a consequence, any realis- tic description of synaptic phenomena, incorporating biophysical details, is computationally highly demanding.
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