Photonic implementation of neuromorphic learning and self-adaptation
Toole, Ryan Robert
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The field of neuromorphic engineering is focused on harnessing the advantages of neurobiological systems in any artificial systems that could stand to benefit from hybrid analog/digital processing techniques and the ability to learn and adapt. Here, a photonic system exemplifying a neuronal learning algorithm is developed, experimentally verified, and applied towards angle of arrival localization of microwave signals. Furthermore, a photonic Jamming Avoidance Response (JAR) device, mimicking the neurobiology of a genus of electric fish, is developed as a potential solution to spectral scarcity issues arising in wireless communications.