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

Ever‐growing demands of bandwidth, computing speed, and power consumption are now
accelerating the transformation of computing research, as work‐at‐home becomes a new …

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" …

The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS
implementations of neuromrphic systems has led to intense exploration of efficient hardware …

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 …

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 …

We report experimentally and theoretically on the controllable inhibition of spiking regimes
in a 1300 nm wavelength vertical-cavity surface-emitting laser. Reproducible suppression of …

We report experimentally and in theory on the controllable propagation of spiking regimes
between two interlinked vertical-cavity surface-emitting lasers (VCSELs). We show that …

Spiking neural networks enable efficient information processing in real-time. Excitable lasers
can exhibit ultrafast spiking dynamics, and when preceded by a photodetector in an O/E/O …