We investigated the dynamic processes in a superconducting neuron based on Josephson contacts without resistive shunting (S_C-neuron). Such a cell is a key element of perceptron-type neural networks that operate in both classical and quantum modes. The analysis of the obtained results allowed us to find the mode when the transfer characteristic of the element implements the “sigmoid” activation function. The numerical approach to the analysis of the equations of motion and the Monte Carlo method revealed the influence of inertia (capacitances), dissipation, and temperature on the dynamic characteristics of the neuron.

中文翻译：

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具有非并联约瑟夫森接触的超导绝热神经元的动态过程

基于没有分流电阻（S约瑟夫森接触我们在一个超导神经元所研究的动态过程_Ç -neuron）。这样的细胞是在经典和量子模式下运行的感知器类型神经网络的关键元素。对所得结果的分析使我们能够找到当元素的传递特性实现“sigmoid”激活函数时的模式。运动方程分析的数值方法和蒙特卡罗方法揭示了惯性（电容）、耗散和温度对神经元动态特性的影响。