11 citations · 30 across the 11 of their papers we have counts for
12 papers
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…
Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components
Federico Marchesin, Matěj Hejda, Tzamn Melendez Carmona +5
Matrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing i…
Invited: Neuromorphic architectures based on augmented silicon photonics platforms
Matěj Hejda, Federico Marchesin, George Papadimitriou +6
In this work, we discuss our vision for neuromorphic accelerators based on integrated photonics within the framework of the Horizon Europe NEUROPULS project. Augmented integrated p…
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…
Optically-triggered deterministic spiking regimes in nanostructure resonant tunnelling diode-photodetectors
Qusay Raghib Ali Al-Taai, Matěj Hejda, Weikang Zhang +4
This work reports a nanostructure resonant tunnelling diode-photodetector (RTD-PD) device and demonstrates its operation as a controllable, optically-triggered excitable spike gene…
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…
Resonant tunnelling diode nano-optoelectronic spiking nodes for neuromorphic information processing
Matěj Hejda, Juan Arturo Alanis, Ignacio Ortega-Piwonka +5
In this work, we introduce an optoelectronic spiking artificial neuron capable of operating at ultrafast rates ( 100 ps/optical spike) and with low energy consumption (…
Convolutional Image Edge Detection Using Ultrafast Photonic Spiking VCSEL Neurons
Joshua Robertson, Yahui Zhang, Matej Hejda +4
We report experimentally and in theory on the detection of edge information in digital images using ultrafast spiking optical artificial neurons towards convolutional neural networ…