A photocurrent-driven memristive ion channel neuron

The nervous system is composed of a large number of different functional neurons, and functional neurons can detect the stimulation of special external signals. These special stimulus signals are encoded to induce the appropriate firing patterns, which are transmitted to other neurons through the axon to produce corresponding stress responses. From the point of view of physics, the special functional electric element is connected into a neural circuit, which can enhance function of the neural circuit. In this paper, a multifunctional neural circuit is designed by applying a magnetic flux-controlled memristor, a capacitor, a nonlinear resistor, a phototube and a constant voltage source. Furthermore, a functional neuron is generated by using the Kirchhoff's current and voltage laws. The energy function of the multifunctional neuron is verified based on the Helmholtz's law. The result indicates that the dynamics of the multifunctional neuron can be excited by changing the intensity of external light or magnetic fields. The stochastic resonance phenomena are excited by adding external noise or electric field noise, and the dynamics of the multifunctional neuron are adjusted by using the energy control adaptive growth way of parameter. This study is helpful for the expression of ion channels in neurons and modeling of the multifunctional neurons.