Resilience of Nematode Connectomes Based on Network Dimension-reduced Method

The whole map of nematode connectomes provides important structural data for exploring the behavioral mechanism nematodes, but to further reveal functional importance and resilience pattern neurons, it is necessary effectively couple regulatory relationship between neurons their topology. Here, with a typical signal excitation function we propose model capture interacting because differential equation depicts activity neuron, n mean need high-D equations neural network. With mean-field theory, decouple this N-dimension question into one-dimension problem mathematically. In our framework, emphatically analyze characteristics, similarities differences structure dynamical behaviors neuronal system Caenorhabditis elegans Pristionchus pacificus . comparing results simulating method theoretical approach show that most homologous C.elegans P.pacificus are I2 NSM, which may lead different behavior characteristics predation prey. At same time, expect x eff index can be used evolution degeneration networks from dynamic perspective. hermaphroditic male , test control level intermediate neuron groups over output single neuron. These suggest effects bio-connectivity groups, potentially enabling us explore interaction in humans animals.