no code implementations • 26 Sep 2022 • Chaoming Fang, Ziyang Shen, Fengshi Tian, Jie Yang, Mohamad Sawan
In this design, a compact online learning neuromorphic hardware architecture with ultra-low power consumption designed explicitly for biosignal processing is proposed.
no code implementations • 16 Sep 2022 • Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan
In this paper, we propose an energy-efficient dynamic scenes processing framework (SpikeSEE) that combines a spike representation encoding technique and a bio-inspired spiking recurrent neural network (SRNN) model to achieve intelligent processing and extreme low-power computation for retinal prostheses.