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.
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