Research output per year
Research output per year
Description
Corresponding dataset for a paper titled "All-optical binary convolution with a photonic spiking VCSEL neuron for image gradient magnitudes". Convolution is performed on digital greyscale images to reveal gradient magnitude information using in-series Mach Zehnder modulators and a photonic VCSEL-neuron. The number of spiking responses triggered by the VCSEL-neuron represents the result of the convolution.
| Date made available | 22 Feb 2021 |
|---|---|
| Publisher | University of Strathclyde |
| Date of data production | 28 Feb 2020 - 13 Mar 2020 |
Research output
- 1 Article
-
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes
Zhang, Y., Robertson, J., Xiang, S., Hejda, M., Bueno, J. & Hurtado, A., 31 May 2021, In: Photonics Research. 9, 5, p. B201-B209 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile52 Citations (Scopus)51 Downloads (Pure)
Projects
- 3 Finished
-
Energy-efficient and high-bandwidth neuromorphic nanophotonic chips for artificial intelligence systems (ChipAI) H2020-FETOPEN
Hurtado, A. (Principal Investigator) & Strain, M. (Co-investigator)
European Commission - Horizon Europe + H2020
1/03/19 → 28/02/22
Project: Research
-
BRAIN-inspired networks of ultrafast LASER neurons
Hurtado, A. (Principal Investigator)
10/11/17 → 9/11/21
Project: Research
-
Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | Robertson, Joshua
Hurtado, A. (Principal Investigator), Strain, M. (Co-investigator) & Robertson, J. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/17 → 26/04/23
Project: Research Studentship - Internally Allocated