Opt Express. 2022 Jun 6;30(12):21599-21608. doi: 10.1364/OE.456583.
We propose an approach to generate neuron-like spikes of vertical-cavity surface-emitting laser (VCSEL) by multi-frequency switching. A stable temporal spiking sequence has been realized both by numerical simulations and experiments with a pulse width of sub-nanosecond, which is 8 orders of magnitude faster than ones from biological neurons. Moreover, a controllable spiking coding scheme using multi-frequency switching is designed and a sequence with 20 symbols is generated at the speed of up to 1 Gbps by experiment. Furthermore, we investigate the factors related to time delay of spiking generation, including injection strength and frequency detuning. With proper manipulation of detuning frequency, the spiking generation delay can be controlled upto 60 ns, which is 6 times longer than the delay controlled by intensity. The multi-frequency switching provides another manipulation dimension for spiking generation and will be helpful to exploit the abundant spatial-temporal features of spiking neural network. We believe the proposed VCSEL-neuron, as a single physical device for generating spiking signals with variable time delay, will pave the way for future photonic spiking neural networks.
我们提出了一种通过多频切换产生类似于神经元的垂直腔面发射激光器(VCSEL)尖峰的方法。通过数值模拟和实验都实现了稳定的纳秒级以下的时间尖峰序列,其速度比生物神经元快 8 个数量级。此外,我们设计了一种使用多频切换的可控尖峰编码方案,并通过实验以高达 1 Gbps 的速度生成了一个包含 20 个符号的序列。此外,我们研究了与尖峰产生时间延迟相关的因素,包括注入强度和频率失谐。通过适当控制失谐频率,可以将尖峰产生的延迟控制在 60 ns 以内,这比强度控制的延迟长 6 倍。多频切换为尖峰产生提供了另一个控制维度,这将有助于开发尖峰神经网络丰富的时空特征。我们相信,所提出的 VCSEL 神经元作为一种具有可变时间延迟的产生尖峰信号的单个物理设备,将为未来的光子尖峰神经网络铺平道路。