Image Encoding and Recovery Based on Inhibited Spiking Dynamics of VCSEL Neuron

We propose and numerically investigate an image encoding and recovery system based on the inhibited spiking dynamics of a 1550-nm vertical-cavity surface-emitting laser (VCSEL) neuron. The results demonstrate that VCSELs subject to orthogonal optical injection can mimic the behaviors of biological neurons under external perturbations (stimuli) with different intensities and durations. Furthermore, VCSEL neuron can possess the encoding capability of binary-to-spike with GHz rate. Based on the post-processing techniques of spiking dynamics, the image recovery with bit error rate (BER) of 6.6× 10
⁻³
is achieved.