仮想臨床神経補綴試験を目的としたエルゴード的セルオートマトン神経細胞モデル

A novel cellular automaton neuron model and its cellular differentiation method are presented. It is shown that the differentiation method enables the neuron model to reproduce typical nonlinear responses of a given neuron model. Then a virtual clinical trial of neural prosthesis is executed, i.e., a target neuron model in a network composed of biologically plausible differential equation neuron models is replaced with the presented neuron model that is differentiated to reproduce the target neuron model. The presented neuron model is implemented in a field programmable gate array and the virtual clinical trial is validated by experiments. The results show the presented neuron model is much more hardware-efficient compared to a simplified differential equation neuron model.