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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2305.00788 |
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| _version_ | 1866914878144380928 |
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| author | Hejda, Matěj Doris, Eli A. Bilodeau, Simon Robertson, Joshua Owen-Newns, Dafydd Shastri, Bhavin J. Prucnal, Paul R. Hurtado, Antonio |
| author_facet | Hejda, Matěj Doris, Eli A. Bilodeau, Simon Robertson, Joshua Owen-Newns, Dafydd Shastri, Bhavin J. Prucnal, Paul R. Hurtado, Antonio |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_00788 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems Hejda, Matěj Doris, Eli A. Bilodeau, Simon Robertson, Joshua Owen-Newns, Dafydd Shastri, Bhavin J. Prucnal, Paul R. Hurtado, Antonio Optics Neural and Evolutionary Computing Applied Physics 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. |
| title | Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems |
| topic | Optics Neural and Evolutionary Computing Applied Physics |
| url | https://arxiv.org/abs/2305.00788 |