arXiv · AI· Arooba Farhan, Afsah Syed, Muhammad Fahd Ibrahim Bhatti, Muhammad Areeb Khalid Kidwai, Muhammad Ahsan Salar Khan, Vincenzo Romano, Muhammad Ali Siddiqi·· 5 小时前AI 评分22
硬件匹配的脉冲神经网络实现实时浦肯野细胞尖峰分类
Hardware-Matched Spiking Neural Networks for Real-Time Purkinje Cell Spike Classification
AI 导读
研究提出两种适配硬件的脉冲神经网络（SNN）用于实时尖峰分类。ConvSNN在EFM32PG28微控制器上实现0.873的复杂尖峰F1值，电池续航33.73小时；StreamSNN在SKY130电路中占0.173 mm²，能耗0.46 μJ。
来源：arXiv · AI · arxiv.org