7 citations · 9 across the 11 of their papers we have counts for
11 papers
Neuron Surface Emitting Laser (NeuronSEL): Spiking Regimes and Negative Differential Resistance in Solitary Multi-junction VCSELs
Maria Duque-Gijon, Joshua Robertson, Dafydd Owen-Newns +6
Neuromorphic photonics is emerging as a powerful platform for fast and efficient optical information processing and sensing. However, future brain-inspired photonic systems require…
Resonate-and-Fire Photonic-Electronic Spiking Neurons for Fast and Efficient Light-Enabled Neuromorphic Processing Systems
Andrew Adair, Dafydd Owen-Newns, Giovanni Donati +7
Neuromorphic computing seeks to replicate the spiking dynamics of biological neurons for brain-inspired computation. While electronic implementations of artificial spiking neurons…
Neuromorphic Photonic Processing and Memory with Spiking Resonant Tunnelling Diode Neurons and Neural Networks
Dafydd Owen-Newns, Joshua Robertson, Giovanni Donati +5
Neuromorphic computing-modelled after the functionality and efficiency of biological neural systems-offers promising new directions for advancing artificial intelligence and comput…
Spiking Rate and Latency Encoding with Resonant Tunnelling Diode Neuron Circuits and Design Influences
Giovanni Donati, Dafydd Owen-Newns, Joshua Robertson +6
Neuromorphic computing, inspired by the functionality and efficiency of biological neural systems, holds promise for advancing artificial intelligence and computational paradigms.…
High-Speed Time Series Prediction with a GHz-rate Photonic Spiking Neural Network built with a single VCSEL
Dafydd Owen-Newns, Lina Jaurigue, Josh Robertson +4
Photonic technologies hold significant potential for creating innovative, high-speed, efficient and hardware-friendly neuromorphic computing platforms. Neuromorphic photonic method…
Photonic-electronic spiking neuron with multi-modal and multi-wavelength excitatory and inhibitory operation for high-speed neuromorphic sensing and computing
Weikang Zhang, Matěj Hejda, Qusay Raghib Ali Al-Taai +6
We report a multi-modal spiking neuron that allows optical and electronic input and control, and wavelength-multiplexing operation, for use in novel high-speed neuromorphic sensing…
Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems
Matěj Hejda, Eli A. Doris, Simon Bilodeau +5
Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementat…
Photonic Spiking Neural Networks with Highly Efficient Training Protocols for Ultrafast Neuromorphic Computing Systems
Dafydd Owen-Newns, Joshua Robertson, Matej Hejda +1
Photonic technologies offer great prospects for novel ultrafast, energy-efficient and hardware-friendly neuromorphic (brain-like) computing platforms. Moreover, neuromorphic photon…
GHz Rate Neuromorphic Photonic Spiking Neural Network with a Single Vertical-Cavity Surface-Emitting Laser (VCSEL)
Dafydd Owen-Newns, Joshua Robertson, Matej Hejda +1
Vertical-Cavity Surface-Emitting Lasers (VCSELs) are highly promising devices for the construction of neuromorphic photonic information processing systems, due to their numerous de…
Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser
Matěj Hejda, Ekaterina Malysheva, Dafydd Owen-Newns +9
Excitable optoelectronic devices represent one of the key building blocks for implementation of artificial spiking neurons in neuromorphic (brain-inspired) photonic systems. This w…
Photonic neuromorphic computing using vertical cavity semiconductor lasers
Anas Skalli, Joshua Robertson, Dafydd Owen-Newns +5
Photonic realizations of neural network computing hardware are a promising approach to enable future scalability of neuromorphic computing. In this review we provide an overview on…