Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding

Velichko, Andrei, Boriskov, Petr

arXiv.org Artificial Intelligence 

Tel.: 79114005773 Received: date; Accepted: date; Published: date Abstract: The study presents an oscillator circuit for a spike neural network with the possibility of firing rate coding a nd 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 t he 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 t he concept of the spike neural network architectu re with firing rate coding based on the presented circuit for creating neuromorphic devices and artificial intelligence.

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