LAUSR

We propose a photonic neural system composed of three cascaded vertical-cavity surface-emitting lasers with an embedded saturable absorbers (VCSEL-SAs) and numerically investigate the encoding, propagation and storage characteristics of the spiking patterns in this system. The results show that, with suitable perturbation strength, the first VCSEL-SA (VCSEL-SA1) can convert the stimulus into spike response. Increasing both the perturbation strength and the bias current of active region is beneficial to improve the conversion rate. Moreover, the spiking patterns generated by VCSEL-SA1 can be stably propagated into another two VCSEL-SAs (VCSEL-SA2 and VCSEL-SA3) with a certain delay through adjusting the coupling weight. Additionally, after introducing a feedback into VCSEL-SA1, the fired spiking patterns can be successfully stored in this proposed system. The obtained results can offer great potential for future, brain-inspired ultrafast neuromorphic computing system.