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Updated: May 5, 2026

Using Affordable LED Arrays for Photo-Stimulation of Neurons
Published on: November 15, 2011
Monolithic excitable photonic neuron
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Neuromorphic computing, which seeks to emulate the information processing abilities of the brain, has garnered significant attention due to the advantages offered over conventional AI hardware, including low energy consumption, high parallelism, and large bandwidths. Current photonic neurons face challenges in terms of hardware complexity, integration, and scalability. In this work, experimental demonstrations of a monolithically integrated photonic neuron are presented. The photonic integrated circuit (PIC) consists of a Fabry-Pérot section, a slotted mirror section, and an unbiased gain section. The PIC is demonstrated to exhibit neuronal phenomena in the form of an excitable threshold, a refractory period, and a leaky integrate-and-fire mechanism.
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