Filtering properties of Hodgkin–Huxley neuron on different time-scale signals

Neurons can be excited and inhibited by filtered signals. The filtering properties of neural networks have a huge impact on memory, learning, disease. In this paper, the frequency selection Hodgkin–Huxley (HH) neuron in response to band-pass signals is investigated. It found that neuronal property depends locking relationship between signal’s center natural frequency. firing combination fundamental component various level harmonic components. signal related amplitude Neuron responds better low-frequency than high-frequency because reduction amplitude. ability modulated excitation level, stronger around threshold. Our results might provide novel insights into guide construction artificial networks. • show non-linear dependence band signal. signals’ band. becomes weaker as decreases. Excitable neurons are signal, spontaneous inhibited.