Neuromorphic devices is a research concept and engineering approach focused on developing hardware systems that mimic the structure and function of biological neural networks. This field investigates the creation of electronic circuits and architectures designed for highly parallel processing, energy efficiency, and adaptive learning, aiming to overcome limitations of conventional computing for tasks requiring real-time processing and complex pattern recognition, thereby advancing artificial intelligence and brain-inspired computation.