Estimation of Periodic Force Parameters Using a Spiking Neural Network

We propose a method for estimating the parameters of an external periodic force using a spiking network of neuronlike oscillators. The method is based on the assessment of the amplitude and frequency of the external force by the number of spikes generated by the network over a certain fixed time in response to an external periodic stimulus. We demonstrate the efficacy of our method both numerically and experimentally using a network of coupled nonidentical neuronlike FitzHugh-Nagumo oscillators.