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Resistive coupled VO2 oscillators for image recognition article on IEEE TV


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.

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The article was presented in November 2018 at 2018 IEEE International Conference on Rebooting Computing (ICRC)

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 737109 (PHASE-CHANGE SWITCH).