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 …

In optical communication systems, fibre nonlinearity is the major obstacle in increasing the
transmission capacity. Typically, digital signal processing techniques and hardware are …

We propose an on-chip optical architecture to support massive parallel communication
among high-performance spiking laser neurons. Designs for a network protocol …

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" …

We survey recent progress in the use of analog memory devices to build neuromorphic
hardware accelerators for deep learning applications. After an overview of deep learning …

We propose an original design for a neuron-inspired photonic computational primitive for a
large-scale, ultrafast cognitive computing platform. The laser exhibits excitability and …

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 …

Neuromorphic computing applies concepts extracted from neuroscience to develop devices
shaped like neural systems and achieve brain-like capacity and efficiency. In this way …

In an age overrun with information, the ability to process reams of data has become crucial.
The demand for data will continue to grow as smart gadgets multiply and become …