Memristors in Neuromorphic Computing

This chapter explores the role of memristors in designing adaptable multi-scale neural structures that mimic biological learning and adaptability. It discusses innovations in resistive memory for enhancing neuromorphic systems while addressing challenges in real-time sensory processing and neural performance optimization. The conversation highlights current applications, collaborative research, and the potential of memristors to revolutionize AI hardware through reduced power consumption and improved computational efficiency.