Research output per year
Research output per year
Description
Dataset contains the results present in the paper "Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron". This work uses photonic VCSEL neurons to reveal edge information in digital images. We make use of the integrate-and-fire functionality of the neurmorphic devices to perform edge detection with less preprocessing requirements. We combine our photonic hardware with a software-implemented spiking neural network for classification of MNIST handwritted digits.
| Date made available | 26 Jan 2022 |
|---|---|
| Publisher | University of Strathclyde |
| Date of data production | 30 Nov 2020 - 17 Mar 2021 |
Research output
- 1 Article
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Ultrafast neuromorphic photonic image processing with a VCSEL neuron
Robertson, J., Kirkland, P., Alanis, J. A., Hejda, M., Bueno, J., Di Caterina, G. & Hurtado, A., 22 Mar 2022, In: Scientific Reports. 12, 10 p., 4874.Research output: Contribution to journal › Article › peer-review
Open AccessFile56 Citations (Scopus)71 Downloads (Pure)
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Turing AI Fellowship: PHOTONics for ultrafast Artificial Intelligence
Hurtado, A. (Fellow)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/21 → 31/12/25
Project: Research Fellowship
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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
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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