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Cited by 345

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing

Nahmias, Mitchell A., Shastri, Bhavin J., Tait, Alexander N., Prucnal, Paul R.·2013·IEEE Journal of Selected Topics in Quantum Electronics

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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Metadata

Authors
Nahmias, M. A., Shastri, B. J., Tait, A. N., & Prucnal, P. R.
Venue
IEEE Journal of Selected Topics in Quantum Electronics
Published
2013-09
Volume
19
Issue
5
Pages
1-12
ISSN
  • 1077-260X (ISSN-L)
  • 1558-4542
OpenAlex
W2021379807
Cited by
345
References
37
FWCI
20.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing. https://app.cochat.ai/papers/10.1109/jstqe.2013.2257700
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Nahmias, M. A., Shastri, B. J., Tait, A. N., & Prucnal, P. R. (2013). A Leaky Integrate-and-Fire Laser Neuron for Ultrafast Cognitive Computing. IEEE Journal of Selected Topics in Quantum Electronics. https://doi.org/10.1109/jstqe.2013.2257700

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