Implementation of Spiking Neural Network with IoT communication devices
Ryuya Hiraoka, Kien Nguyen, Hiroyuki Torikai, and Hiroo Sekiya
2020 IEEE Workshop on Nonlinear Circuit Networks(NCN2020), Dec. 2020. [pdf document]

<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.