학술논문

Demonstration of a silicon photonic neural network
Document Type
Conference
Source
2016 IEEE Photonics Society Summer Topical Meeting Series (SUM) Photonics Society Summer Topical Meeting Series (SUM), 2016 IEEE. :72-73 Jul, 2016
Subject
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Biological neural networks
Bifurcation
Neurons
Silicon photonics
Oscillators
Optical resonators
Language
Abstract
Silicon photonic integration could enable high-performance brain-inspired photonic processors. We demonstrate a 3 node recurrent photonic neural network. Cusp and Hopf bifurcations induced by synaptic reconfiguration are shown as proof-of-concept. The prototype represents an early step towards network-based models of physical computing with integrated photonics.