A novel hardware-efficient ergodic sequential logic neuron model and virtual prosthetic trial for the cricket auditory neural network

Abstract

In this study, a novel ergodic sequential logic neuron model is presented for the purpose of application to neural prosthesis. It is shown that the presented neuron model can realize various neuron-like responses such as spiking and bursting. Then, a biologically plausible conductance-based Hodgkin-Huxley-type auditory neural network model of a female cricket is presented as a target for virtual trial of the neural prosthesis. It is shown through the virtual neural prosthesis trial that the presented ergodic neuron model can recover the responses of the biologically plausible neural network that lost proper responses due to damage to a neuron model. Furthermore, it is shown that the presented neuron model is more hardware-efficient compared to a commonly used digital processor neuron model. Finally, the significance and potential impact of this study are discussed.