Controlled propagation of spiking dynamics in vertical-cavity surface-emitting lasers: towards neuromorphic photonic networks

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Abstract

We report experimentally and in theory on the controllable propagation of spiking regimes between two interlinked Vertical-Cavity Surface-Emitting Lasers (VCSELs). We show that spiking patterns generated in a first transmitter VCSEL (T-VCSEL) are communicated to a second receiver VCSEL (R-VCSEL) which responds by firing the same spiking response. Importantly, the spiking regimes from both devices had analogous temporal and amplitude characteristics, including equal number of spikes fired, same spike and inter-spike temporal durations and similar spike intensity properties. These responses are analogous to the spiking communication patterns of biological neurons yet at sub-nanosecond speeds, this is several (up to 8) orders of magnitude faster than the timescales of biological neurons. We have also carried out numerical simulations reproducing with high degree of agreement the experimental findings. These results obtained with inexpensive, commercially available VCSELs operating at important telecom wavelengths (1300nm) offer great prospects for the scaling of emerging VCSEL-based photonic neuronal models into network configurations for use in novel neuromorphic photonic systems. This offers high potentials for non-traditional computing paradigms beyond digital systems and able to operate at ultrafast speeds.
LanguageEnglish
Article number1800408
Number of pages8
JournalIEEE Journal of Selected Topics in Quantum Electronics
Volume23
Issue number6
DOIs
Publication statusPublished - 22 Mar 2017

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spiking
Surface emitting lasers
surface emitting lasers
Photonics
spikes
photonics
cavities
propagation
neurons
Neurons
digital systems
transmitters
Transmitters
emerging
receivers
communication
scaling
Wavelength
Communication
Computer simulation

Keywords

  • vertical-cavity surface-emitting lasers (VCSELs)
  • neuromorphic photonics
  • photonic neurons
  • photonic spiking processing
  • spiking regimes
  • controllable propagation

Cite this

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title = "Controlled propagation of spiking dynamics in vertical-cavity surface-emitting lasers: towards neuromorphic photonic networks",
abstract = "We report experimentally and in theory on the controllable propagation of spiking regimes between two interlinked Vertical-Cavity Surface-Emitting Lasers (VCSELs). We show that spiking patterns generated in a first transmitter VCSEL (T-VCSEL) are communicated to a second receiver VCSEL (R-VCSEL) which responds by firing the same spiking response. Importantly, the spiking regimes from both devices had analogous temporal and amplitude characteristics, including equal number of spikes fired, same spike and inter-spike temporal durations and similar spike intensity properties. These responses are analogous to the spiking communication patterns of biological neurons yet at sub-nanosecond speeds, this is several (up to 8) orders of magnitude faster than the timescales of biological neurons. We have also carried out numerical simulations reproducing with high degree of agreement the experimental findings. These results obtained with inexpensive, commercially available VCSELs operating at important telecom wavelengths (1300nm) offer great prospects for the scaling of emerging VCSEL-based photonic neuronal models into network configurations for use in novel neuromorphic photonic systems. This offers high potentials for non-traditional computing paradigms beyond digital systems and able to operate at ultrafast speeds.",
keywords = "vertical-cavity surface-emitting lasers (VCSELs), neuromorphic photonics, photonic neurons, photonic spiking processing, spiking regimes, controllable propagation",
author = "Tao Deng and Joshua Robertson and Antonio Hurtado",
note = "(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.",
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N1 - (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

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N2 - We report experimentally and in theory on the controllable propagation of spiking regimes between two interlinked Vertical-Cavity Surface-Emitting Lasers (VCSELs). We show that spiking patterns generated in a first transmitter VCSEL (T-VCSEL) are communicated to a second receiver VCSEL (R-VCSEL) which responds by firing the same spiking response. Importantly, the spiking regimes from both devices had analogous temporal and amplitude characteristics, including equal number of spikes fired, same spike and inter-spike temporal durations and similar spike intensity properties. These responses are analogous to the spiking communication patterns of biological neurons yet at sub-nanosecond speeds, this is several (up to 8) orders of magnitude faster than the timescales of biological neurons. We have also carried out numerical simulations reproducing with high degree of agreement the experimental findings. These results obtained with inexpensive, commercially available VCSELs operating at important telecom wavelengths (1300nm) offer great prospects for the scaling of emerging VCSEL-based photonic neuronal models into network configurations for use in novel neuromorphic photonic systems. This offers high potentials for non-traditional computing paradigms beyond digital systems and able to operate at ultrafast speeds.

AB - We report experimentally and in theory on the controllable propagation of spiking regimes between two interlinked Vertical-Cavity Surface-Emitting Lasers (VCSELs). We show that spiking patterns generated in a first transmitter VCSEL (T-VCSEL) are communicated to a second receiver VCSEL (R-VCSEL) which responds by firing the same spiking response. Importantly, the spiking regimes from both devices had analogous temporal and amplitude characteristics, including equal number of spikes fired, same spike and inter-spike temporal durations and similar spike intensity properties. These responses are analogous to the spiking communication patterns of biological neurons yet at sub-nanosecond speeds, this is several (up to 8) orders of magnitude faster than the timescales of biological neurons. We have also carried out numerical simulations reproducing with high degree of agreement the experimental findings. These results obtained with inexpensive, commercially available VCSELs operating at important telecom wavelengths (1300nm) offer great prospects for the scaling of emerging VCSEL-based photonic neuronal models into network configurations for use in novel neuromorphic photonic systems. This offers high potentials for non-traditional computing paradigms beyond digital systems and able to operate at ultrafast speeds.

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