2018
DOI: 10.1364/ao.57.001731
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Spike encoding and storage properties in mutually coupled vertical-cavity surface-emitting lasers subject to optical pulse injection

Abstract: The generation and storage properties of different spike codes in vertical-cavity surface-emitting lasers with an embedded saturable absorber (VCSELs-SA) are investigated numerically. The results show that different spike codes are generated by injecting an optical pulse into one single VCSEL-SA and can be stored in two mutually coupled VCSELs-SA. In particular, in the case of the generation of spike codes, the effects of the input strength and the temporal duration of the input optical pulse are studied; in t… Show more

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Cited by 29 publications
(22 citation statements)
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“…The well-known Yamada model is successful for expressing a semiconductor laser with an embedded saturable absorber 16,21,25 . Our model is based on the combination of SFM and Yamada models 26,27 .…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The well-known Yamada model is successful for expressing a semiconductor laser with an embedded saturable absorber 16,21,25 . Our model is based on the combination of SFM and Yamada models 26,27 .…”
Section: Resultsmentioning
confidence: 99%
“…The time interval between the onset of EIOP and the first output spike (denoted as Δ t 1 21 ) and the time interval between two consecutive output spikes (denoted as Δ t 2 21 ) as functions of k injx ( k injy ) for both injection cases are presented in Fig. 5.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…interconnection of these photonic neuromorphic elements has also been explored with the successful communication of fast spiking dynamics in a cascaded transmitter-receiver VCSEL configuration [43,44], and with detailed theoretical studies of multiple mutual coupling configurations [48,49]. The behavioural similarities that can be drawn between the investigated VCSEL-based neuronal models and biological neurons are what allow us to pursue these devices as candidates for artificial photonic neurons.…”
mentioning
confidence: 99%