Search Results for author: MatĚJ Hejda

Found 5 papers, 0 papers with code

Interfacing spiking VCSEL-neurons with silicon photonics weight banks towards integrated neuromorphic photonic systems

no code implementations1 May 2023 MatĚJ Hejda, Eli A. Doris, Simon Bilodeau, Joshua Robertson, Dafydd Owen-Newns, Bhavin J. Shastri, Paul R. Prucnal, Antonio Hurtado

Spiking neurons and neural networks constitute a fundamental building block for brain-inspired computing, which is posed to benefit significantly from photonic hardware implementations.

Optically-triggered deterministic spiking regimes in nanostructure resonant tunnelling diode-photodetectors

no code implementations23 Apr 2023 Qusay Raghib Ali Al-Taai, MatĚJ Hejda, Weikang Zhang, Bruno Romeira, José M. L. Figueiredo, Edward Wasige, Antonio Hurtado

This work reports a nanostructure resonant tunnelling diode-photodetector (RTD-PD) device and demonstrates its operation as a controllable, optically-triggered excitable spike generator.

Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser

no code implementations22 Jun 2022 MatĚJ Hejda, Ekaterina Malysheva, Dafydd Owen-Newns, Qusay Raghib Ali Al-Taai, Weikang Zhang, Ignacio Ortega-Piwonka, Julien Javaloyes, Edward Wasige, Victor Dolores-Calzadilla, José M. L. Figueiredo, Bruno Romeira, Antonio Hurtado

Furthermore, we also investigate in theory the prospects of the proposed system for its nanophotonic implementation with a monolithic design combining a nanoscale RTD element and a nanolaser; therefore demonstrating the potential of integrated RTD-based excitable nodes for low footprint, high-speed optoelectronic spiking neurons in future neuromorphic photonic hardware.

Resonant tunnelling diode nano-optoelectronic spiking nodes for neuromorphic information processing

no code implementations14 Jul 2021 MatĚJ Hejda, Juan Arturo Alanis, Ignacio Ortega-Piwonka, João Lourenço, José Figueiredo, Julien Javaloyes, Bruno Romeira, Antonio Hurtado

In this work, we introduce an optoelectronic spiking artificial neuron capable of operating at ultrafast rates ($\approx$ 100 ps/optical spike) and with low energy consumption ($<$ pJ/spike).

All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes

no code implementations9 Nov 2020 YaHui Zhang, Joshua Robertson, Shuiying Xiang, MatĚJ Hejda, JuliÁn Bueno, Antonio Hurtado

All-optical binary convolution with a photonic spiking vertical-cavity surface-emitting laser (VCSEL) neuron is proposed and demonstrated experimentally for the first time.

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