Neuromorphic Photonics for RF Signal Processing

Neuromorphic photonics use light to imitate the neural models and systems of nature for solving complex human problems that are challenging for conventional electronic approaches. Neural algorithms are natural designs that govern the survival of the organism, therefore, are highly effective for the designated tasks. In this paper, we review two small-scale neural algorithms - spike timing dependent plasticity process for learning and jamming avoidance response in Eigenmannia, discuss the marriage of those neural algorithm and photonics, as well as explore their real-life applications in human society.