Investigation of vertical cavity surface emitting laser dynamics for neuromorphic photonic systems

Hurtado, Antonio; Schires, Kevin; Henning, I.D.; Adams, M.J.

doi:10.1063/1.3692726

Cited by 111 publications

(59 citation statements)

References 23 publications

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“…Because information processing in the brain is associated with the excitable action potentials that propagate through neuronal axons [2], many efforts are being done to develop excitable devices that could mimic neuronal behavior in bio-inspired information processing networks. Particularly, semiconductor lasers with optical injection [3][4][5], optical feedback [6,7] or saturated absorber [8][9][10][11] have been investigated with this purpose.…”

Section: Introductionmentioning

confidence: 99%

Effects of periodic forcing on the temporally correlated spikes of a semiconductor laser with feedback

Sorrentino¹,

Quintero-Quiroz²,

Aragoneses³

et al. 2015

Opt. Express

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Optical excitable devices that mimic neuronal behavior can be building-blocks of novel, brain-inspired information processing systems. A relevant issue is to understand how such systems represent, via correlated spikes, the information of a weak external input. Semiconductor lasers with optical feedback operating in the low frequency fluctuations regime have been shown to display optical spikes with intrinsic temporal correlations similar to those of biological neurons. Here we investigate how the spiking laser output represents a weak periodic input that is implemented via direct modulation of the laser pump current. We focus on understanding the influence of the modulation frequency. Experimental sequences of inter-spike-intervals (ISIs) are recorded and analyzed by using the ordinal symbolic methodology that identifies and characterizes serial correlations in datasets. The change in the statistics of the various symbols with the modulation frequency is empirically shown to be related to specific changes in the ISI distribution, which arise due to different phase-locking regimes. A good qualitative agreement is also found between simulations of the Lang and Kobayashi model and observations. This methodology is an efficient way to detect subtle changes in noisy correlated ISI sequences and may be applied to investigate other optical excitable devices.

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Section: Introductionmentioning

confidence: 99%

Effects of periodic forcing on the temporally correlated spikes of a semiconductor laser with feedback

Sorrentino¹,

Quintero-Quiroz²,

Aragoneses³

et al. 2015

Opt. Express

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“…Complete details on the experimental arrangements used for the analysis of the polarisation effects in optically-injected VCSELs can be found in [2][3][4][5][6][7][8][9]. In all these works, light from a tuneable laser source was injected into commercially-available InAlGaAs/InP quantum-well (QW) 1550nm-VCSELs.…”

Section: Methodsmentioning

confidence: 99%

Progress on the analysis of polarised optical injection in 1550nm-VCSELs

Hurtado

Schires

Al-Seyab

et al. 2012

2012 14th International Conference on Transparent Optical Networks (ICTON)

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We review our recent work analysing the polarisation effects in optically injected VCSELs operating at the important telecom wavelength of 1550 nm. We summarise our studies on the polarisation, time and temperature dependence of the nonlinear dynamics induced in these devices when subject to different types of polarised optical injection. In addition, we also discuss the potentials of VCSELs for the optical emulation of different neuronal behaviours offering prospects for novel uses of these devices in future neuromorphic systems and novel computing paradigms

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“…The spiking behavior of excitable photonic devices, which can be implemented by semiconductor technology, resembles the properties of biological neurons [39][40][41][42][43][44]. Networks of such excitable, nanophotonic devices would therefore correspond to a neural network implementation very close to their biological inspiration.…”

Section: Excitable Photonic Devices For Rcmentioning

confidence: 99%

“…When biased adequately close to a stability threshold, a laser with a saturable absorber becomes an excitable system [39,41,43,44]. In their dynamical behavior, these devices approximate the integrate and fire behavior of biological neurons with remarkable quality.…”

Section: Excitable Photonic Devices For Rcmentioning

confidence: 99%

Advances in photonic reservoir computing

2017

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Abstract:We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is to implement a reservoir computer in optics, where information is encoded in the intensity and phase of the optical field. Reservoir computing is a bio-inspired approach especially suited for processing time-dependent information. The reservoir's complex and high-dimensional transient response to the input signal is capable of universal computation. The reservoir does not need to be trained, which makes it very well suited for optics. As such, much of the promise of photonic reservoirs lies in their minimal hardware requirements, a tremendous advantage over other hardware-intensive neural network models. We review the two main approaches to optical reservoir computing: networks implemented with multiple discrete optical nodes and the continuous system of a single nonlinear device coupled to delayed feedback.

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Investigation of vertical cavity surface emitting laser dynamics for neuromorphic photonic systems

Cited by 111 publications

References 23 publications

Effects of periodic forcing on the temporally correlated spikes of a semiconductor laser with feedback

Effects of periodic forcing on the temporally correlated spikes of a semiconductor laser with feedback

Progress on the analysis of polarised optical injection in 1550nm-VCSELs

Advances in photonic reservoir computing

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