This paper reviews some recent progress in the field of neuromorphic photonics, with a
particular focus on scalability. We provide a framework for understanding the underlying …

Recently, there has been tremendous interest in excitable optoelectronic devices and in
particular excitable semiconductor lasers that could potentially enable unconventional …

This book sets out to build bridges between the domains of photonic device physics and
neural networks, providing a comprehensive overview of the emerging field of" …

As society's appetite for information continues to grow, so does our need to process this
information with increasing speed and versatility. Many believe that the one-size-fits-all …

Novel materials and devices in photonics have the potential to revolutionize optical
information processing, beyond conventional binary-logic approaches. Laser systems offer a …

Photonic realizations of neural network computing hardware are a promising approach to
enable future scalability of neuromorphic computing. The number of special purpose …

Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …

We report on ultrafast artificial laser neurons and on their potentials for future neuromorphic
(brainlike) photonic information processing systems. We introduce our recent and ongoing …

All-optical binary convolution with a photonic spiking vertical-cavity surface-emitting laser
(VCSEL) neuron is proposed and demonstrated experimentally for the first time, to the best …

Optical localized states are usually defined as self-localized bistable packets of light, which
exist as independently controllable optical intensity pulses either in the longitudinal or …