We simulated a large scale spiking neural network characterized by an initial developmental phase featuring cell death driven by excessive firing rate, followed by the spike timing dependent synaptic plasticity (STDP). The dynamic of initially identical network topologies were compared in presence of temporally structured stimuli and in absence of any stimulation. Coupled networks were also studied using the output spike trains of selected (efferent) neurons of one network as input to selected (afferent) neurons of the second network. We present the analysis of effective spike trains recorded throughout the whole networks, in particular the detection of recurrent precise firing sequences, their structure and their dynamics. |