A Novel Area-Efficient Fast CORDIC for Energy-efficient Adaptive Exponential Integrate and Fire Neuron Design
Yujie Li, Guangyou Hong, Zixuan Peng, Jipeng Wang, Jiarui Xu, Guoyi Yu, Chengjun Huang, Chao Wang · 2021 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) · 2021
The realization of bionic neural models has great challenges on the biological characteristics and hardware efficiency of neurons. This paper proposes an energy efficient Adaptive Exponential Integrate and Fire (AdEx) neuron based on a novel Area-Efficient Fast COordinate Rotation Digital Computer (AEF-CORDIC). The novel AEF-CORDIC has a higher energy efficiency and shorter latency by reducing the iteration times with negligible hardware overhead. FPGA implementation results show that the proposed AEF-CORDIC based AdEx Neuron has good biological characteristics. Compared with conventional CORDIC based design, our design has 48.4% and 52.5% improvement on energy efficiency and processing speed, respectively.