Abstract
Generic network of the spiking neurons provides an enormous variety of spatio-temporal orders of activity patterns that could represent valid information. Not to miss relevant neural coding, further empirical investigation on generic network that are free from our stereotypes is important. As models for the neocortex, randomly generated sparse recurrent networks of spiking neurons with spike time-dependent local synaptic rewiring process are computationally simulated. The emergence of nontrivial spatio-temporal orders during the rewiring is indirectly observed by selective rejection of the newly introduced channels.
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