Programmable Optical Synaptic Linking of Neuromorphic Photonic-Electronic RTD Spiking Circuits

IF 6.5 1区 物理与天体物理 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Photonics Pub Date : 2024-09-30 DOI:10.1021/acsphotonics.4c01199
Matěj Hejda, Weikang Zhang, Qusay Raghib Ali Al-Taai, Ekaterina Malysheva, Dafydd Owen-Newns, José M. L. Figueiredo, Bruno Romeira, Joshua Robertson, Victor Dolores-Calzadilla, Edward Wasige, Antonio Hurtado
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Abstract

Interconnectivity between functional building blocks (such as neurons and synapses) represents a fundamental functionality for realizing neuromorphic systems. However, in the domain of neuromorphic photonics, synaptic interlinking and cascadability of spiking optical artificial neurons remains challenging and mostly unexplored in experiments. In this work, we report an optical synaptic link between optoelectronic spiking artificial neurons based upon resonant tunneling diodes (RTDs) that allows for cascadable spike propagation. First, deterministic spiking is triggered using multimodal (electrical and optical) inputs in RTD-based spiking artificial neurons, which are optoelectronic (OE) circuits incorporating either micron-scale RTDs or photosensitive nanopillar-based RTDs. Second, feedforward linking with dynamical weighting of optical spiking signals between pre- and postsynaptic RTD artificial neurons is demonstrated, including cascaded spike activation. By dynamically weighting the amplitude of optical spikes, it is shown how the cascaded spike activation probability in the postsynaptic RTD node directly follows the amplitude of the weighted optical spikes. This work therefore provides the first experimental demonstration of programmable synaptic optical link and spike cascading between multiple fast and efficient RTD OE spiking artificial neurons, therefore providing a key functionality for photonic-electronic spiking neural networks and light-enabled neuromorphic hardware.

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神经形态光电子 RTD 尖峰电路的可编程光突触连接
功能构件(如神经元和突触)之间的互连是实现神经形态系统的基本功能。然而,在神经形态光子学领域,尖峰光学人工神经元的突触互联和级联能力仍然具有挑战性,而且大多尚未在实验中进行探索。在这项工作中,我们报告了一种基于共振隧道二极管(RTD)的光电尖峰人工神经元之间的光学突触链接,它允许可级联的尖峰传播。首先,在基于 RTD 的尖峰人工神经元中使用多模态(电和光)输入触发确定性尖峰,这些人工神经元是包含微米级 RTD 或基于光敏纳米柱的 RTD 的光电(OE)电路。其次,演示了突触前和突触后 RTD 人工神经元之间光尖峰信号动态加权的前馈连接,包括级联尖峰激活。通过动态加权光学尖峰信号的振幅,演示了突触后 RTD 节点的级联尖峰激活概率如何直接跟随加权光学尖峰信号的振幅。因此,这项研究首次在实验中展示了多个快速高效的 RTD OE 尖峰人工神经元之间的可编程突触光链接和尖峰级联,从而为光子电子尖峰神经网络和光神经形态硬件提供了关键功能。
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来源期刊
ACS Photonics
ACS Photonics NANOSCIENCE & NANOTECHNOLOGY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
11.90
自引率
5.70%
发文量
438
审稿时长
2.3 months
期刊介绍: Published as soon as accepted and summarized in monthly issues, ACS Photonics will publish Research Articles, Letters, Perspectives, and Reviews, to encompass the full scope of published research in this field.
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