Open Access
IEEE Journal of Selected Topics in Quantum Electronics, volume 19, issue 5, pages 1-12
A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing
Publication type: Journal Article
Publication date: 2013-09-01
Q1
Q2
SJR: 1.283
CiteScore: 10.6
Impact factor: 4.3
ISSN: 1077260X, 15584542
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Abstract
We propose an original design for a neuron-inspired photonic computational primitive for a large-scale, ultrafast cognitive computing platform. The laser exhibits excitability and behaves analogously to a leaky integrate-and-fire (LIF) neuron. This model is both fast and scalable, operating up to a billion times faster than a biological equivalent and is realizable in a compact, vertical-cavity surface-emitting laser (VCSEL). We show that-under a certain set of conditions-the rate equations governing a laser with an embedded saturable absorber reduces to the behavior of LIF neurons. We simulate the laser using realistic rate equations governing a VCSEL cavity, and show behavior representative of cortical spiking algorithms simulated in small circuits of excitable lasers. Pairing this technology with ultrafast, neural learning algorithms would open up a new domain of processing.
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Nahmias M. A. et al. A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing // IEEE Journal of Selected Topics in Quantum Electronics. 2013. Vol. 19. No. 5. pp. 1-12.
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Nahmias M. A., Shastri B. J., Tait A. N., Prucnal P. R. A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing // IEEE Journal of Selected Topics in Quantum Electronics. 2013. Vol. 19. No. 5. pp. 1-12.
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TY - JOUR
DO - 10.1109/jstqe.2013.2257700
UR - https://doi.org/10.1109/jstqe.2013.2257700
TI - A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing
T2 - IEEE Journal of Selected Topics in Quantum Electronics
AU - Nahmias, Mitchell A
AU - Shastri, Bhavin J
AU - Tait, Alexander N
AU - Prucnal, Paul R.
PY - 2013
DA - 2013/09/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1-12
IS - 5
VL - 19
SN - 1077-260X
SN - 1558-4542
ER -
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BibTex (up to 50 authors)
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@article{2013_Nahmias,
author = {Mitchell A Nahmias and Bhavin J Shastri and Alexander N Tait and Paul R. Prucnal},
title = {A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing},
journal = {IEEE Journal of Selected Topics in Quantum Electronics},
year = {2013},
volume = {19},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {sep},
url = {https://doi.org/10.1109/jstqe.2013.2257700},
number = {5},
pages = {1--12},
doi = {10.1109/jstqe.2013.2257700}
}
Cite this
MLA
Copy
Nahmias, Mitchell A., et al. “A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing.” IEEE Journal of Selected Topics in Quantum Electronics, vol. 19, no. 5, Sep. 2013, pp. 1-12. https://doi.org/10.1109/jstqe.2013.2257700.