论文标题
IM/DD光学通信的神经形态硬件上的尖峰神经网络均衡
Spiking Neural Network Equalization on Neuromorphic Hardware for IM/DD Optical Communication
论文作者
论文摘要
尖峰神经网络（SNN）非线性均衡器模型在混合信号神经形态硬件系统Brainscales-2上实现，并对IM/DD链接进行了评估。 BER 2E-3是通过小于1 dB的硬件惩罚来实现的，表现优于数字线性均衡。
A spiking neural network (SNN) non-linear equalizer model is implemented on the mixed-signal neuromorphic hardware system BrainScaleS-2 and evaluated for an IM/DD link. The BER 2e-3 is achieved with a hardware penalty less than 1 dB, outperforming numeric linear equalization.
