Evaluation of Wireless Spiking Neural Network <Abstract> The Wireless Spiking Neural Network (W-SNN) is an integration of the IoT network and the SNN by connecting neurons by wireless communications, which can achieve intelligent information processing in the IoT network. This paper investigates the scalability of the W-SNN. We find that there is a trade-off relationship between the information-processing time, including the wireless communication congestions and the learning ability. Namely, there is a possibility that the wireless communication congestions become a bottleneck of the scalability in W-SNN. |