We propose an equivalent circuit model for photonic spike processing laser neurons with an embedded saturable absorber—a simulation model for photonic excitable lasers (SIMPEL). We show that by mapping the laser neuron rate equations into a circuit model, SPICE analysis can be used as an efficient and accurate engine for numerical calculations, capable of generalization to a variety of different types of laser neurons with saturable absorber found in literature. The development of this model parallels the Hodgkin-Huxley model of neuron biophysics, a circuit framework which brought efficiency, modularity, and generalizability to the study of neural dynamics. We employ the model to study various signal-processing effects such as excitability ...
With the increasing importance and capabilities of artificial intelligence (AI) approaches across al...
Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-i...
Photonic neuromorphic computing has emerged as a promising approach to building a low-latency and en...
We propose an equivalent circuit model for photonic spike processing laser neurons with an embedded ...
The self-spiking behavior of an integrated saturable absorber and gain section laser fabricated in a...
Inspired by the low energy consumption of the human brain, neuromorphic engineering aims to develop ...
Neuromorphic photonic applies concepts extracted from neuroscience to develop photonic devices behav...
Neuromorphic photonics is a new paradigm for ultra-fast neuro-inspired optical computing that canrev...
In this thesis we investigate the technology of Vertical Cavity Surface Emitting Lasers (VCSELs) as ...
This paper analyzes the behavior of a neural processing unit based on the optical bistable propertie...
Biological retinal neuronal circuits are emulated using a system of connected 1550 nm Vertical-Cavit...
Novel materials and devices in photonics have the potential to revolutionize optical information pro...
In today’s data-driven world, the ability to process large data volumes is crucial. Key tasks, such ...
We report a theoretical study on laterally-coupled pairs of vertical-cavity surface-emitting lasers ...
With the increasing importance and capabilities of artificial intelligence (AI) approaches across al...
Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-i...
Photonic neuromorphic computing has emerged as a promising approach to building a low-latency and en...
We propose an equivalent circuit model for photonic spike processing laser neurons with an embedded ...
The self-spiking behavior of an integrated saturable absorber and gain section laser fabricated in a...
Inspired by the low energy consumption of the human brain, neuromorphic engineering aims to develop ...
Neuromorphic photonic applies concepts extracted from neuroscience to develop photonic devices behav...
Neuromorphic photonics is a new paradigm for ultra-fast neuro-inspired optical computing that canrev...
In this thesis we investigate the technology of Vertical Cavity Surface Emitting Lasers (VCSELs) as ...
This paper analyzes the behavior of a neural processing unit based on the optical bistable propertie...
Biological retinal neuronal circuits are emulated using a system of connected 1550 nm Vertical-Cavit...
Novel materials and devices in photonics have the potential to revolutionize optical information pro...
In today’s data-driven world, the ability to process large data volumes is crucial. Key tasks, such ...
We report a theoretical study on laterally-coupled pairs of vertical-cavity surface-emitting lasers ...
With the increasing importance and capabilities of artificial intelligence (AI) approaches across al...
Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-i...
Photonic neuromorphic computing has emerged as a promising approach to building a low-latency and en...