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.
arXiv.org Artificial Intelligence
Nov-23-2019
- Country:
- North America > United States (0.04)
- Europe
- Ukraine > Kyiv Oblast
- Kyiv (0.04)
- Russia > North Caucasian Federal District
- Republic of Karelia > Petrozavodsk (0.04)
- Ukraine > Kyiv Oblast
- Asia
- Genre:
- Research Report (0.64)
- Technology: