Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics

• Organic neuromorphic materials offer affordable, biocompatible, and energy-efficient alternatives to silicon for brain-inspired computing. • The review details four key resistive switching mechanisms: interface-regulated filament growth, molecular-electronic dynamics, nanowire-confined filament growth, and vacancy-assisted ion migration. • Strategies to enhance state retention and conductance adjustment are proposed, addressing challenges in low-power neuromorphic computing. • Applications span biohybrid circuits, event-driven systems, robotics, and intelligent agents, highlighting the integration of AI into everyday activities.