Abstract
Inspired by the low energy consumption of the human brain, neuromorphic engineering aims to develop novel hardware to aid the development of machine learning algorithms [1]. Integrated photonics is regarded as a formidable candidate to develop a low-power, ultra-fast optical neural network, due to the high bandwidth, low crosstalk [2] and temporal characteristics governed by fast carrier dynamics. In an all-optical photonic spiking neural network (SNN), a laser neuron is triggered by an optical pulse of sufficient energy generated by previous neurons. From a dynamics perspective this thresholding functionality is an excitable response to an input perturbation and can be realized through integrated two-section lasers [3].
© 2023 IEEE
PDF ArticleMore Like This
L. Puts, D. Lenstra, K. Williams, and W. Yao
JTh2A.62 CLEO: Applications and Technology (CLEO:A&T) 2023
Charis Mesaritakis
CB_9_1 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2017
S. Breuer, L. Drzewietzki, and W. Elsässer
CB3_2 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2011