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arXiv 2003.01087cond-mat.mes-hall
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在单个共享波导光网络中使用III-V纳米线组件实现昆虫脑计算电路

Implementing an insect brain computational circuit using III-V nanowire components in a single shared waveguide optical network

David O. Winge, Steven Limpert, Heiner Linke, Magnus T. Borgström, Barbara Webb, Stanley Heinze, Anders Mikkelsen

摘要:

光子学的最新发展包括有效的纳米级光电元件和用于亚波长光操纵的新方法。在这里,我们探讨了潜在的神经形态计算基板等设备。我们提出了一种人工神经网络,其中节点之间的加权连接是通过在一个共享的准二维波导内发射和接收重叠的光信号来实现的。与现有的光学解决方案相比,这将电路占用面积减少了至少一个数量级。光信号的接收、评估和发射由从已知的高效III-V纳米线光电子器件构造的神经元样节点执行。这最小化了网络的功耗。为了证明这一概念,我们建立了一个计算模型的基础上解剖正确的,功能模型的中央复杂的导航电路的昆虫大脑。我们详细模拟的光学和电子部分所需的再现该网络的中心部分的连接,使用实验得出的参数。结果被用作完整模型的输入,我们证明了功能被保留。我们的方法指出了一种通用方法,用于大幅减少光电神经网络的占地面积并提高其功率效率,利用光作为信息载体的优越速度和能效。

英文摘要:

Recent developments in photonics include efficient nanoscale optoelectronic components and novel methods for sub-wavelength light manipulation. Here, we explore the potential offered by such devices as a substrate for neuromorphic computing. We propose an artificial neural network in which the weighted connectivity between nodes is achieved by emitting and receiving overlapping light signals inside a shared quasi 2D waveguide. This decreases the circuit footprint by at least an order of magnitude compared to existing optical solutions. The reception, evaluation and emission of the optical signals are performed by a neuron-like node constructed from known, highly efficient III-V nanowire optoelectronics. This minimizes power consumption of the network. To demonstrate the concept, we build a computational model based on an anatomically correct, functioning model of the central-complex navigation circuit of the insect brain. We simulate in detail the optical and electronic parts required to reproduce the connectivity of the central part of this network, using experimentally derived parameters. The results are used as input in the full model and we demonstrate that the functionality is preserved. Our approach points to a general method for drastically reducing the footprint and improving power efficiency of optoelectronic neural networks, leveraging the superior speed and energy efficiency of light as a carrier of information.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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