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SCIENCE CHINA Information Sciences, Volume 63 , Issue 6 : 160408(2020) https://doi.org/10.1007/s11432-020-2887-6

Demonstration of a distributed feedback laser diode working as a graded-potential-signaling photonic neuron and its application to neuromorphic information processing

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  • ReceivedJan 25, 2020
  • AcceptedApr 22, 2020
  • PublishedMay 9, 2020

Abstract

We find that a commonly-used distributed feedback laser diode (DFB-LD) can work as a graded-potential-signaling photonic neuron. Through theoretical and experimental demonstration, DFB-LDs are proved useful for three graded-potential-signaling-based neuromorphic processing applications of the pattern recognition, the single-wavelength implementation of spike timing dependent plasticity (STDP), and the sound azimuth measurement. The pattern recognition with a full-width-at-half-maximum (FWHM) of 1 $\mu~$s is realized in the experiment.


Acknowledgment

This work was supported by National Key RD Program of China (Grant No. 2019YFB2203700) and National Natural Science Foundation of China (Grant No. 61822508).


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  • Figure 1

    (Color online) (a) The analytical model for the sound azimuth measurement. $S$ and $O$ are the sound source and the center point, respectively. $\theta$ is the sound azimuth. $L$ represents the distance between ears and center point. $R$ is the distance from $S$ to $O$. $\varphi$ and $D$ are intermediate variables. (b) Experimental setup for the graded-potential-signaling-based properties and neuromorphic processing applications with DFB-LDs. AWG: arbitrary waveform generator; DFB-LD: distributed feedback laser diode; VOA: variable optical attenuator; B-PD: balanced photodetector; OSC: oscilloscope.

  • Figure 2

    (Color online) Simulation results of the graded-potential-signaling-based properties and neuromorphic processing applications with DFB-LDs. The properties of the graded-potential-signaling (a), the temporal integration (b), and the pulse facilitation (c). The neuromorphic processing applications of the pattern recognition (d), the STDP implementation (e), and the sound azimuth measurement (f).

  • Figure 3

    (Color online) Experimental results of the graded-potential-signaling-based properties with DFB-LDs. (a) The graded-potential-signaling property. (b) An output pulse compared with the exponentially-decaying fitted curve. (c)–(e) Responses of a DFB-LD to three input pulses with $\tau$ of 6 $\mu$s, 2.5 $\mu$s (for pulse facilitation property), and 1.5 $\mu$s (for temporal integration property), respectively.

  • Figure 4

    (Color online) The response of a DFB-LD to the sequential input pattern (a) and the input pattern in reverse order (b).

  • Figure 5

    (Color online) The experimental results of the STDP implementation by a DFB-LD. The output at (a) $\Delta~t=-4$ $\mu$s and (b) $\Delta~t=4$ $\mu$s. (c) The peak difference and the largest peak dependent on $\Delta~t$ corresponding to the STDP curve. The effects on the STDP curve of varying (d) $w_{\rm~post}$ and (e) $w_{\rm~pre}$.

  • Figure 6

    (Color online) The experimental results of the sound azimuth measurement with DFB-LDs. The output when (a) Rd $=3$ $\mu$s and (b) Rd $=4$ $\mu$s. The $\Delta~S$ dependent on (c) the Rd and (d) the sound azimuth.

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