5 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…
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.…
Ultrafast and compact photonic-electronic leaky integrate-and-fire circuits based upon resonant tunnelling diodes
Joshua Robertson, Dylan Black, Giovanni Donati +8
This work provides a first report of ultrafast and compact photonic-electronic neuromorphic temporal leaky integrate-and-fire neuronal circuits built with Resonant Tunnelling Diode…
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…