We report a theoretical study on laterally-coupled pairs of vertical-cavity surface-emitting lasers (VCSELs) operated under conditions that generate or suppress high-speed optical spiking regimes, and show their potential in exemplar functionalities for use in photonic neuromorphic computing systems. The VCSEL numerical analysis is based on a system of five coupled mode equations, which, for the case of weak coupling, are reduced to a set of three equations that predict the saddle-node stability boundary in terms of device parameters and operating conditions. These results guide numerical simulation to demonstrate multiple neuron-like dynamics, including single- and multiple-spike emission, spiking inhibition, and rebound spiking directly i...
Photonic approaches emulating the powerful computational capabilities of the brain are receiving inc...
The ever-increasing demand for artificial intelligence (AI) systems is underlining a significant req...
We report both experimentally and in theory on the detection of edge features in digital images with...
We report a theoretical study on laterally-coupled pairs of vertical-cavity surface-emitting lasers ...
We report experimentally and in theory on the controllable propagation of spiking regimes between tw...
In this thesis we investigate the technology of Vertical Cavity Surface Emitting Lasers (VCSELs) as ...
We report experimentally on the electrically-controlled, tunable and repeatable neuron-like spiking ...
We report experimentally and on theory on the controllable inhibition of spiking regimes in a 1300 n...
Electrically-controlled, tuneable and repeatable neuron-like spiking regimes are generated in an opt...
Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-i...
We report on the activation, inhibition and propagation of controllable neuron-like spiking signals ...
With the increasing importance and capabilities of artificial intelligence (AI) approaches across al...
We report experimentally on VCSEL-based artificial optical spiking neurons with ultrafast spiking re...
In today’s data-driven world, the ability to process large data volumes is crucial. Key tasks, such ...
Vertical-Cavity Surface-Emitting Lasers (VCSELs) are highly promising devices for the construction o...
Photonic approaches emulating the powerful computational capabilities of the brain are receiving inc...
The ever-increasing demand for artificial intelligence (AI) systems is underlining a significant req...
We report both experimentally and in theory on the detection of edge features in digital images with...
We report a theoretical study on laterally-coupled pairs of vertical-cavity surface-emitting lasers ...
We report experimentally and in theory on the controllable propagation of spiking regimes between tw...
In this thesis we investigate the technology of Vertical Cavity Surface Emitting Lasers (VCSELs) as ...
We report experimentally on the electrically-controlled, tunable and repeatable neuron-like spiking ...
We report experimentally and on theory on the controllable inhibition of spiking regimes in a 1300 n...
Electrically-controlled, tuneable and repeatable neuron-like spiking regimes are generated in an opt...
Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-i...
We report on the activation, inhibition and propagation of controllable neuron-like spiking signals ...
With the increasing importance and capabilities of artificial intelligence (AI) approaches across al...
We report experimentally on VCSEL-based artificial optical spiking neurons with ultrafast spiking re...
In today’s data-driven world, the ability to process large data volumes is crucial. Key tasks, such ...
Vertical-Cavity Surface-Emitting Lasers (VCSELs) are highly promising devices for the construction o...
Photonic approaches emulating the powerful computational capabilities of the brain are receiving inc...
The ever-increasing demand for artificial intelligence (AI) systems is underlining a significant req...
We report both experimentally and in theory on the detection of edge features in digital images with...