Transition from noise-induced to self-sustained current spiking generated by a NbO_x thin film threshold switch

A transition to self-sustained current oscillations was investigated in a circuit with NbOx thin film device, acting as an artificial neuron. Above threshold of the applied voltage, begins demonstrate persistent but rather random spiking, which becomes more regular increasing voltage. Experimental measurements reveal two scaling regions interspike interval dependence on source voltage: initial logarithmic dependence, transitions power law exponent -1/2. Using numerical model neuron circuit, we observe good agreement our experimental data. We show that behavior is associated noise-induced while attributed noisy oscillations, would exist system even absence noise. These findings stress importance noise dynamics switches and shed light their spiking response variation input signals. The reported approach control oscillation neurons can help develop optimal design for neuromorphic neural networks oscillator-based computing systems.