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REDUCING A FLUCTUATION IN BURST FIRING OF A SQUARE-WAVE BURSTER SILICON NEURON MODEL

The silicon neuron is an electronic circuit that reproduces the electrophysiological behavior of neuronal cells. In experimental results of a square-wave burster silicon neuron circuit, we found a characteristic fluctuation in spike generation in its fast subsystem, which leads to instability in the bursting behavior. This article proposes a biologically possible countermeasure against this problem in the modeling aspect, which is originally intuitive and expanded based on the formalism of the ionic current models. Its qualitative effectiveness is evaluated using our silicon neuron model. To support the possibility that this measure is also effective in biological cells, a simulation was performed with a well-known virtual neuron model.