Description of problem
While developing a network, I came to connect two neuron groups of 240 neurons each, with a low probability (p=0.01) but a large number of synapses (n=100). I am not sure about how both these characteristics work together. Will it first run the probability and connect each pair with a probability of 1% (in my case 1 neuron would project to 2.4 neurons on average) and then create 100 synapses on the connected neurons? Or is there a computation mixing probability and number of synapses, i.e. some of the 100 synapses are connected to different neurons?