  The study presents an oscillator circuit for a spike neural network with the
possibility of firing rate coding and sigmoid-like activation function. The
circuit contains a switching element with an S-shaped current-voltage
characteristic and two capacitors; one of the capacitors is shunted by a
control resistor. The circuit is characterised by a strong dependence of the
frequency of relaxation oscillations on the magnitude of the control resistor.
The dependence has a sigmoid-like form and we present an analytical method for
dependence calculation. Finally, we describe the concept of the spike neural
network architecture with firing rate coding based on the presented circuit for
creating neuromorphic devices and artificial intelligence.
