TY - JOUR
T1 - Silicon Photonic Modulator Neuron
AU - Tait, Alexander N.
AU - Ferreira De Lima, Thomas
AU - Nahmias, Mitchell A.
AU - Miller, Heidi B.
AU - Peng, Hsuan Tung
AU - Shastri, Bhavin J.
AU - Prucnal, Paul R.
N1 - Publisher Copyright:
© 2019 American Physical Society.
PY - 2019/6/18
Y1 - 2019/6/18
N2 - There has been recent interest in neuromorphic photonics, a field with the promise to access pivotal and unexplored regimes of machine intelligence. Progress has been made on isolated neurons and analog interconnects; nevertheless, this renewal of interest 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 the behaviors of transfer-function configurability, fan-in, inhibition, time-resolved pulse 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.
AB - There has been recent interest in neuromorphic photonics, a field with the promise to access pivotal and unexplored regimes of machine intelligence. Progress has been made on isolated neurons and analog interconnects; nevertheless, this renewal of interest 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 the behaviors of transfer-function configurability, fan-in, inhibition, time-resolved pulse 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.
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U2 - 10.1103/PhysRevApplied.11.064043
DO - 10.1103/PhysRevApplied.11.064043
M3 - Article
AN - SCOPUS:85068596637
SN - 2331-7019
VL - 11
JO - Physical Review Applied
JF - Physical Review Applied
IS - 6
M1 - 064043
ER -