All-optical spiking neurosynaptic networks with self-learning capabilities

TL;DR

This paper introduces an all-optical neurosynaptic network with self-learning capabilities, demonstrating high-speed, scalable pattern recognition using photonic neurons and synapses in the optical domain.

Contribution

It presents the first all-optical spiking neuron device and integrates it into a scalable photonic neural network capable of supervised and unsupervised learning.

Findings

Demonstrated an all-optical spiking neuron device.

Implemented a scalable photonic neural network with 140 elements.

Achieved direct optical pattern recognition.

Abstract

Software-implementation, via neural networks, of brain-inspired computing approaches underlie many important modern-day computational tasks, from image processing to speech recognition, artificial intelligence and deep learning applications. Yet, differing from real neural tissue, traditional computing architectures physically separate the core computing functions of memory and processing, making fast, efficient and low-energy brain-like computing difficult to achieve. To overcome such limitations, an attractive and alternative goal is to design direct hardware mimics of brain neurons and synapses which, when connected in appropriate networks (or neuromorphic systems), process information in a way more fundamentally analogous to that of real brains. Here we present an all-optical approach to achieving such a goal. Specifically, we demonstrate an all-optical spiking neuron device and connect it, via an integrated photonics network, to photonic synapses to deliver a small-scale all-optical neurosynaptic system capable of supervised and unsupervised learning. Moreover, we exploit wavelength division multiplexing techniques to implement a scalable circuit architecture for photonic neural networks, successfully demonstrating pattern recognition directly in the optical domain using a photonic system comprising 140 elements. Such optical implementations of neurosynaptic networks promise access to the high speed and bandwidth inherent to optical systems, which would be very attractive for the direct processing of telecommunication and visual data in the optical domain.