Neuromorphic Memristive Spiking Neural Network Electroretinography Sensor Coprocessors
Executing Ultra-Low-Power Asynchronous Retinal Electrical Activity Tracking via Nanoscale Memristors Traditional artificial intelligence electroretinography monitoring hardware relies on power-hungry GPUs and continuous clock-driven analog-to-digital converters, creating severe energy and thermal bottlenecks when processing weak retinal electrical signals for inherited retinal dystrophy diagnosis and wearable ophthalmic health tracking [cite: 19]. As wearable electrophysiological sensor arrays and … Read more