Simple Function Learning Using SNN
Jiaying Lin, Ryuji Nagazawa, Kien Nguyen, Hiroyuki Torikai, Mikio Hasegawa, Hiroo Sekiya
NCN, Dec. 2023., Dec., 2023. [pdf document]

<Abstract>

To address the communication congestion and high energy consumption issues in IoT networks, prior research has proposed a distributed information processing system called WiBIC. As an exploratory step towards implementing the basic functionalities of the WiBIC system, this study focuses on the wireless integration of SNNs. Considering the data transmission and learning characteristics of SNNs, we propose using the APCMA protocol to effectively stabilize the operation of the wireless SNN. By learning the XOR function on this network, the learning capabilities of the implemented system can be determined.