Kravtsov Konstantin S, Fok Mable P, Prucnal Paul R, Rosenbluth David
Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA.
Opt Express. 2011 Jan 31;19(3):2133-47. doi: 10.1364/OE.19.002133.
In this paper, we demonstrate for the first time an ultrafast fully functional photonic spiking neuron. Our experimental setup constitutes a complete all-optical implementation of a leaky integrate-and-fire neuron, a computational primitive that provides a basis for general purpose analog optical computation. Unlike purely analog computational models, spiking operation eliminates noise accumulation and results in robust and efficient processing. Operating at gigahertz speed, which corresponds to at least 108 speed-up compared with biological neurons, the demonstrated neuron provides all functionality required by the spiking neuron model. The two demonstrated prototypes and a demonstrated feedback operation mode prove the feasibility and stability of our approach and show the obtained performance characteristics.
在本文中，我们首次展示了一种超快全功能光子脉冲神经元。我们的实验装置构成了一个完整的全光实现的泄漏积分发放神经元，这是一种计算原语，为通用模拟光学计算提供了基础。与纯模拟计算模型不同，脉冲操作消除了噪声积累，并实现了强大而高效的处理。所展示的神经元以千兆赫兹速度运行，与生物神经元相比，速度至少提高了108倍，它具备脉冲神经元模型所需的所有功能。所展示的两个原型以及一种展示的反馈操作模式证明了我们方法的可行性和稳定性，并展示了所获得的性能特征。
