Functional Connectivity Patterns Organized through STDP in Recurrent Networks

摘要

In this report, we investigated the functional connectivity in recurrent networks organized through spike-timing-dependent plasticity (STDP) with an asymmetric window function using two- and three-neuron connectivity patterns. As a result, the statistics of the organized networks show that their topology is highly nonrandom. The connectivity patterns composed of only excitatory neurons tend to overrepresented in the case of weak inhibitory synaptic strength. On the other hand, over-represented connectivity patterns including inhibitory neurons are frequently observed in strong inhibitory synaptic strength region. Almost all the overrepresented three-neuron connectivity patterns can be simply explained by connectivity pattern transitions, whereas a part of them cannot. We found that the overrepresentation of these three-neuron connectivity patterns can be explained by introducing the combination degree of the three-neuron connectivity pattern transitions for the two-neuron ones.