Advancements in Neuromorphic Engineering

This chapter explores the complexities of implementing biologically plausible time constants in neuromorphic systems using memristors, highlighting their volatile and non-volatile properties. It discusses the shift from 2D to 3D systems, the innovative materials needed for improved connectivity, and the ethical implications of creating brain-like structures. The conversation also emphasizes the integration of biological learning mechanisms and their applications in robotics, showcasing the potential for more adaptive and energy-efficient artificial systems.