Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems

• URL: http://arxiv.org/abs/2305.00788v1
• Date: Mon, 1 May 2023 12:27:25 GMT
• Title: Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems
• Authors: Mat\v{e}j Hejda, Eli A. Doris, Simon Bilodeau, Joshua Robertson, Dafydd Owen-Newns, Bhavin J. Shastri, Paul R. Prucnal, Antonio Hurtado
• Abstract summary: We experimentally investigate an interconnected system based on an ultrafast spiking VCSEL-neuron and a silicon photonics integrated micro-ring resonator (MRR) weight bank. We show that MRR weightbanks can be used in conjuction with the spiking VCSEL-neurons to perform amplitude weighting of sub-ns optical spiking signals. We utilize this functionality to perform optical spike firing rate-coding via thermal tuning of the micro-ring resonator.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementations. In this work, we experimentally investigate an interconnected system based on an ultrafast spiking VCSEL-neuron and a silicon photonics (SiPh) integrated micro-ring resonator (MRR) weight bank, and demonstrate two different functional arrangements of these devices. First, we show that MRR weightbanks can be used in conjuction with the spiking VCSEL-neurons to perform amplitude weighting of sub-ns optical spiking signals. Second, we show that a continuous firing VCSEL-neuron can be directly modulated using a locking signal propagated through a single weighting micro-ring, and we utilize this functionality to perform optical spike firing rate-coding via thermal tuning of the micro-ring resonator. Given the significant track record of both integrated weight banks and photonic VCSEL-neurons, we believe these results demonstrate the viability of combining these two classes of devices for use in functional neuromorphic photonic systems.

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