Julian Bueno
University of Strathclyde
22 Papers
18 Citations
Julian Bueno is an academic researcher from University of Strathclyde. The author has contributed to research in topics: Neuromorphic engineering & Photonics. The author has an hindex of 8, co-authored 22 publications. Previous affiliations of Julian Bueno include Spanish National Research Council.
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Papers
Photonic machine learning implementation for signal recovery in optical communications.
TL;DR: A simplified photonic reservoir computing scheme for data classification of severely distorted optical communication signals after extended fibre transmission is introduced, which demonstrates an improvement in bit-error-rate by two orders of magnitude compared to directly classifying the transmitted signal.
Toward Neuromorphic Photonic Networks of Ultrafast Spiking Laser Neurons
TL;DR: This work introduces the recent and ongoing activities demonstrating controllable excitation of spiking signals in optical neurons based upon vertical-cavity surface emitting lasers (VCSEL-Neurons), and reports on ultrafast artificial laser neurons and their potentials for future neuromorphic (brainlike) photonic information processing systems.
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes
TL;DR: Experimental and numerical results show that binary convolution is achieved successfully with a single spiking VCSEL neuron and that all-opticalbinary convolution can be used to calculate image gradient magnitudes to detect edge features and separate vertical and horizontal components in source images.
Neuromorphic encoding of image pixel data into rate-coded optical spike trains with a photonic VCSEL-neuron
Matěj Hejda,Joshua Robertson,Julian Bueno,Juan Arturo Alanis,Antonio Hurtado +4 more
- 02 Jun 2021
TL;DR: This work experimentally demonstrates encoding of digital image data into continuous, rate-coded, up to GHz-speed optical spike trains with a VCSEL-based photonic spiking neuron, making the system compatible with current optical network and data center technologies.
•Posted Content
Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron.
Joshua Robertson,Paul Kirkland,Juan Arturo Alanis,Matej Hejda,Julian Bueno,Gaetano Di Caterina,Antonio Hurtado +6 more
TL;DR: In this paper, a hardware-friendly neuromorphic photonic spike processor, using a single VCSEL, was demonstrated for all-optical image edge-feature detection, where the photonic system was combined with a software-implemented spiking neural network yielding a full platform for complex image classification.
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