Phys.org March 22, 2019
An oscillatory neural network is a complex interlacing of interacting elements that can receive and transmit oscillations of a certain frequency. Based on coupled oscillator networks implemented on vanadium dioxide structures, researchers in Russia have developed a synchronization registration method with high sensitivity and selectivity. They trained the network to synchronize only for a specific input image. In the study, the input images were transmitted to the network by changing the supply currents which changed the oscillation frequencies of oscillators. As a result, the network reacted to each received image with specific dynamics. According to the researchers it is possible to create a network capable of recognizing images in the same way as biological neural systems…read more. Open Access TECHNICAL ARTICLE
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