Demonstration of Programmable Brain-Inspired Optoelectronic Neuron in Photonic Spiking Neural Network with Neural Heterogeneity

no code implementations • 27 Nov 2023 • Yun-jhu Lee, Mehmet Berkay On, Luis El Srouji, Li Zhang, Mahmoud Abdelghany, S. J. Ben Yoo

Photonic Spiking Neural Networks (PSNN) composed of the co-integrated CMOS and photonic elements can offer low loss, low power, highly-parallel, and high-throughput computing for brain-inspired neuromorphic systems.

Scalable Nanophotonic-Electronic Spiking Neural Networks

no code implementations • 28 Aug 2022 • Luis El Srouji, Yun-jhu Lee, Mehmet Berkay On, Li Zhang, S. J. Ben Yoo

Photonic devices are ideal for the design of high-bandwidth, parallel architectures matching the SNN computational paradigm.

Izhikevich-Inspired Optoelectronic Neurons with Excitatory and Inhibitory Inputs for Energy-Efficient Photonic Spiking Neural Networks

no code implementations • 3 May 2021 • Yun-jhu Lee, Mehmet Berkay On, Xian Xiao, Roberto Proietti, S. J. Ben Yoo

The optoelectronic neurons consist of three transistors acting as electrical spiking circuits, a vertical-cavity surface-emitting laser (VCSEL) for optical spiking outputs, and two photodetectors for excitatory and inhibitory optical spiking inputs.