This work proposes a Spiking Neural Network, SNN, based on a nanoelectronic spiking neuron – as building block – and a 2D-mesh network-on-chip, NoC — as interconnect architecture. The SNN obtained from the NoC is an alternative for high density architectures, providing reconfigurability, high scalability and low power consumption. A look-up table router was used to connect all units. Further on, the eXclusive-OR, XOR, benchmark problem was used to validate the functionality of the nanoelectronic SNN.

中文翻译：

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使用单电子晶体管和NoC实现的尖峰神经网络

这项工作提出了一个基于神经电子尖峰神经元的尖峰神经网络SNN（作为构建块）和一个2D网格片上网络NoC（作为互连体系结构）。从NoC获得的SNN是高密度架构的替代方案，提供可重新配置性，高可伸缩性和低功耗。使用查找表路由器连接所有单元。进一步，使用了“异或”，“异或”基准问题来验证纳米电子SNN的功能。