Oscillator networks are known for their interesting collective behavior such as frequency locking, phase locking, and synchronization. Compared to other artificial neural network implementations, timing rather than amplitude information is used for computation. We have fabricated and simulated small networks of coupled VO2 oscillators and investigated the electrical behavior. It is demonstrated experimentally and through simulations that the coupled oscillators lock in frequency and the phase relation can be adjusted by the coupling resistance. Pattern recognition was simulated in resistor-coupled networks with up to nine oscillators (pixels), demonstrating the possibility of implementation of this task with compact VO2 circuits.
Keywords—neural network; oscillating; phase; timing; resistor-coupled; pattern recognition
By: Elisabetta Corti, Bernd Gotsmann, Kirsten Moselund, Igor Stolichnov, Adrian Ionescu, Siegfried Karg
Published in: IEEE International Conference on Rebooting Computing , IEEE, p.10.1109/ICRC.2018.8638626 in 2018
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