Influence of dual frequency auditory signals on FitzHugh-Nagumo neuron network

The work is devoted to the study of biology-relevant neural networks, which are called spiking neural networks (SNN), and is aimed at classifying two-frequency auditory signals. We consider an ensemble of FitzHugh-Nagumo neurons. Each neuron is connected to a radiophysical circuit tuned to a certain signal frequency. Different clusters of neurons respond to signals with different ratios of frequencies applied to all circuits simultaneously.