Neuromorphic image processing with a VCSEL neuron

Joshua Robertson; Paul Kirkland; Juan Alanis; Matej Hejda; Julian Bueno; Gaetano Di Caterina; Antonio Hurtado

doi:10.1109/IPC48725.2021.9592897

Neuromorphic image processing with a VCSEL neuron

Joshua Robertson, Paul Kirkland, Juan Alanis, Matej Hejda, Julian Bueno, Gaetano Di Caterina, Antonio Hurtado

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

Photonic spiking VCSEL-neurons are used for high-speed neuromorphic image processing. We demonstrate that a VCSEL-Neuron system using sequential kernel operators successfully reveals all edge-features from 5000 complex images of the MNIST handwritten digit dataset.

Original language	English
Title of host publication	2021 IEEE Photonics Conference (IPC)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	2
ISBN (Electronic)	9781665416016
DOIs	https://doi.org/10.1109/IPC48725.2021.9592897
Publication status	Published - 12 Nov 2021
Event	IEEE Photonics Conference: IPC 2021 - Virtual Duration: 18 Oct 2021 → 21 Oct 2021 https://ieee-ipc.org/

Conference

Conference	IEEE Photonics Conference
Abbreviated title	IPC2021
Period	18/10/21 → 21/10/21
Internet address	https://ieee-ipc.org/

Keywords

image processing
VCSEL neuron

Access to Document

10.1109/IPC48725.2021.9592897

1 Active
3 Finished

Turing AI Fellowship: PHOTONics for ultrafast Artificial Intelligence
Hurtado, A. (Fellow)
EPSRC (Engineering and Physical Sciences Research Council)
1/01/21 → 31/03/26
Project: Research Fellowship
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)
Office of Naval Research ONR
10/11/17 → 9/11/21
Project: Research

Cite this

@inproceedings{0e20e8f10cd546cfbae623e39a925c34,

title = "Neuromorphic image processing with a VCSEL neuron",

abstract = "Photonic spiking VCSEL-neurons are used for high-speed neuromorphic image processing. We demonstrate that a VCSEL-Neuron system using sequential kernel operators successfully reveals all edge-features from 5000 complex images of the MNIST handwritten digit dataset.",

keywords = "image processing, VCSEL neuron",

author = "Joshua Robertson and Paul Kirkland and Juan Alanis and Matej Hejda and Julian Bueno and \{Di Caterina\}, Gaetano and Antonio Hurtado",

year = "2021",

month = nov,

day = "12",

doi = "10.1109/IPC48725.2021.9592897",

language = "English",

booktitle = "2021 IEEE Photonics Conference (IPC)",

publisher = "IEEE",

note = "IEEE Photonics Conference : IPC 2021, IPC2021 ; Conference date: 18-10-2021 Through 21-10-2021",

url = "https://ieee-ipc.org/",

}

TY - GEN

T1 - Neuromorphic image processing with a VCSEL neuron

AU - Robertson, Joshua

AU - Kirkland, Paul

AU - Alanis, Juan

AU - Hejda, Matej

AU - Bueno, Julian

AU - Di Caterina, Gaetano

AU - Hurtado, Antonio

PY - 2021/11/12

Y1 - 2021/11/12

N2 - Photonic spiking VCSEL-neurons are used for high-speed neuromorphic image processing. We demonstrate that a VCSEL-Neuron system using sequential kernel operators successfully reveals all edge-features from 5000 complex images of the MNIST handwritten digit dataset.

AB - Photonic spiking VCSEL-neurons are used for high-speed neuromorphic image processing. We demonstrate that a VCSEL-Neuron system using sequential kernel operators successfully reveals all edge-features from 5000 complex images of the MNIST handwritten digit dataset.

KW - image processing

KW - VCSEL neuron

U2 - 10.1109/IPC48725.2021.9592897

DO - 10.1109/IPC48725.2021.9592897

M3 - Conference contribution book

BT - 2021 IEEE Photonics Conference (IPC)

PB - IEEE

CY - Piscataway, NJ

T2 - IEEE Photonics Conference

Y2 - 18 October 2021 through 21 October 2021

ER -

Neuromorphic image processing with a VCSEL neuron

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

Turing AI Fellowship: PHOTONics for ultrafast Artificial Intelligence

Energy-efficient and high-bandwidth neuromorphic nanophotonic chips for artificial intelligence systems (ChipAI) H2020-FETOPEN

BRAIN-inspired networks of ultrafast LASER neurons

Cite this