Edge-emitting mode-locked quantum-dot (QD) lasers are compact, highly efficient sources
for the generation of picosecond and femtosecond pulses and/or broad frequency combs …

We propose computing primitive for an all-optical spiking neural network (SNN) based on
vertical-cavity surface-emitting lasers (VCSELs) for supervised learning by using biologically …

In this work, we introduce an interconnected nano-optoelectronic spiking artificial neuron
emitter-receiver system capable of operating at ultrafast rates (about 100 ps/optical spike) …

We propose a simple hardware architecture for solving exclusive OR (XOR) tasks in a single
step by using a single photonic spiking neuron based on vertical-cavity surface-emitting …

With the rapid development of artificial intelligence and machine learning, brain-inspired
neuromorphic photonics has emerged as an extremely attractive computing paradigm …

The ongoing growth of use-cases for artificial neural networks (ANNs) fuels the search for
new, tailor-made ANN-optimized hardware. Neuromorphic (brain-like) computers are among …

We investigate experimentally and theoretically the communication of inhibited spiking
dynamics between two interlinked photonic neurons based upon the vertical-cavity surface …

Optoelectronic artificial spiking neurons are regarded as promising core elements for novel
photonic neuromorphic computing hardware. In this work, we investigate a modular …

Excitable optoelectronic devices represent one of the key building blocks for implementation
of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems. This work …

An all-optical spike inhibition scheme based on polarization-mode competition (PMC) in a
vertical-cavity surface-emitting laser (VCSEL) with an embedded saturable absorber is …