Chuanqing WANG received the B.S. degree in material science and engineering from Harbin Engineering University, Harbin, China. He participated in summer program of Neuroscience and Cognitive Science in Tsinghua-Peking University. He joined the Center of Excellence in Biomedical Research on Advanced Integrated-on-chips Neurotechnologies (CenBRAIN Neurotech) and became a PhD Candidate of Westlake University in September 2019.
Retinal prostheses are intended to enhance vision for retinal impairment disease such as Age-related Macular Degeneration (AMD) and Retinitis Pigmentosa (RP). These devices, dealing with visual signal processing ability and energy efficiency, are emerging as a wearable intelligent device for personal healthcare purposes. The implementation of deep-learning algorithms is adopted to replace the behavior of degenerative cell layers in our proposed retinal prosthesis. This algorithm is being implemented in a custom neuromorphic processor to meet the real-time processing and low-power consumption criteria. This optogenetic-based retinal prosthesis with bio-inspired processing framework as well as power efficient characteristics will provide solution to recover the lost cell layers in both AMD and RP vision diseases.
 C. Wang, J. Yang and M. Sawan, “NeuroSEE: A Neuromorphic Energy Efficient Processing Framework for Visual Prostheses,” Accepted by IEEE Journal of Biomedical and Health Informatics, 2022.