Toward Neuromorphic Photonic Networks of Ultrafast Spiking Laser Neurons

• Published in: IEEE journal of selected topics in quantum electronics Vol. 26; no. 1; pp. 1 - 15
• Main Authors: Robertson, Joshua, Wade, Ewan, Kopp, Yasmin, Bueno, Julian, Hurtado, Antonio
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial intelligence; Biomedical optical imaging; Brain; Data centers; Data processing; Excitation; Lasers; Neuromorphic photonics; Neuromorphics; neuronal networks; Neurons; nonlinear dynamics; Optical attenuators; Optical communication; Optical polarization; photonic spiking; Photonics; Retina; Spiking; VCSELs; Vertical cavity surface emission lasers; Vertical cavity surface emitting lasers
• DOI: 10.1109/JSTQE.2019.2931215
• ISSN: 1077-260X

We report on ultrafast artificial laser neurons and on their potentials for future neuromorphic (brainlike) photonic information processing systems. We introduce our recent and ongoing activities demonstrating controllable excitation of spiking signals in optical neurons based upon vertical-cavity surface emitting lasers (VCSEL-Neurons). These spiking regimes are analogous to those exhibited by biological neurons, but at sub-nanosecond speeds (>7 orders of magnitude faster). We also describe diverse approaches, based on optical or electronic excitation techniques, for the activation/inhibition of sub-ns spiking signals in VCSEL-Neurons. We report our work demonstrating the communication of spiking patterns between VCSEL-Neurons toward future implementations of optical neuromorphic networks. Furthermore, new findings show that VCSEL-Neurons can perform multiple neuro-inspired spike processing tasks. We experimentally demonstrate photonic spiking memory modules using single and mutually coupled VCSEL-Neurons. Additionally, the ultrafast emulation of neuronal circuits in the retina using VCSEL-Neuron systems is demonstrated experimentally for the first time to our knowledge. Our results are obtained with off-the-shelf VCSELs operating at the telecom wavelengths of 1310 and 1550 nm. This makes our approach fully compatible with current optical network and data center technologies, hence offering great potentials for future ultrafast neuromorphic laser-neuron networks for new paradigms in brain-inspired computing and artificial intelligence.