A silicon photonic modulator neuron
Autor: | Tait, Alexander N., de Lima, Thomas Ferreira, Nahmias, Mitchell A., Miller, Heidi B., Peng, Hsuan-Tung, Shastri, Bhavin J., Prucnal, Paul R. |
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Rok vydání: | 2018 |
Předmět: | |
Zdroj: | Phys. Rev. Applied 11, 064043 (2019) |
Druh dokumentu: | Working Paper |
DOI: | 10.1103/PhysRevApplied.11.064043 |
Popis: | There has been a recently renewed interest in neuromorphic photonics, a field promising to access pivotal and unexplored regimes of machine intelligence. Progress has been made on isolated neurons and analog interconnects; nevertheless, this renewal has yet to produce a demonstration of a silicon photonic neuron capable of interacting with other like neurons. We report a modulator-class photonic neuron fabricated in a conventional silicon photonic process line. We demonstrate behaviors of transfer function configurability, fan-in, inhibition, time-resolved processing, and, crucially, autaptic cascadability -- a sufficient set of behaviors for a device to act as a neuron participating in a network of like neurons. The silicon photonic modulator neuron constitutes the final piece needed to make photonic neural networks fully integrated on currently available silicon photonic platforms. Comment: 16 pages, 10 figures |
Databáze: | arXiv |
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