Photonic neuromorphic computing using vertical cavity semiconductor lasers
Photonic realizations of neural network computing hardware are a promising approach to
enable future scalability of neuromorphic computing. The number of special purpose …
enable future scalability of neuromorphic computing. The number of special purpose …
Ultrafast optical integration and pattern classification for neuromorphic photonics based on spiking VCSEL neurons
In today's data-driven world, the ability to process large data volumes is crucial. Key tasks,
such as pattern recognition and image classification, are well suited for artificial neural …
such as pattern recognition and image classification, are well suited for artificial neural …
Toward neuromorphic photonic networks of ultrafast spiking laser neurons
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 …
(brainlike) photonic information processing systems. We introduce our recent and ongoing …
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes
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 …
(VCSEL) neuron is proposed and demonstrated experimentally for the first time, to the best …
Image edge detection with a photonic spiking VCSEL-neuron
We report both experimentally and in theory on the detection of edge features in digital
images with an artificial optical spiking neuron based on a vertical-cavity surface-emitting …
images with an artificial optical spiking neuron based on a vertical-cavity surface-emitting …
What models and tools can contribute to a better understanding of brain activity?
Despite impressive scientific advances in understanding the structure and function of the
human brain, big challenges remain. A deep understanding of healthy and aberrant brain …
human brain, big challenges remain. A deep understanding of healthy and aberrant brain …
Nanolasers with feedback as low-coherence illumination sources for speckle-free imaging: A numerical analysis of the superthermal emission regime
Lasers distinguish themselves for the high coherence and high brightness of their radiation,
features which have been exploited both in fundamental research and a broad range of …
features which have been exploited both in fundamental research and a broad range of …
Experimental demonstration of pyramidal neuron-like dynamics dominated by dendritic action potentials based on a VCSEL for all-optical XOR classification task
Y Zhang, S **ang, X Cao, S Zhao, X Guo, A Wen… - Photonics …, 2021 - opg.optica.org
We experimentally and numerically demonstrate an approach to optically reproduce a
pyramidal neuron-like dynamics dominated by dendritic Ca^ 2+ action potentials (dCaAPs) …
pyramidal neuron-like dynamics dominated by dendritic Ca^ 2+ action potentials (dCaAPs) …
Frequency-switched photonic spiking neurons
We propose an approach to generate neuron-like spikes of vertical-cavity surface-emitting
laser (VCSEL) by multi-frequency switching. A stable temporal spiking sequence has been …
laser (VCSEL) by multi-frequency switching. A stable temporal spiking sequence has been …
Predicting attractor characteristics using Lyapunov exponents in a laser with injected signal
DK Bandy, EKT Burton, JR Hall… - … Journal of Nonlinear …, 2021 - pubs.aip.org
Coexisting attractors are studied in a single-mode coherent model of a laser with an injected
signal. We report that every attractor has a unique Lyapunov exponent (LE) pattern that is …
signal. We report that every attractor has a unique Lyapunov exponent (LE) pattern that is …