A research team led by Professors from Fudan University and The Hong Kong Polytechnic University has developed a groundbreaking biomimetic neuron structure using wafer-scale two-dimensional semiconductor materials, mimicking biological neuron behaviors. This innovation integrates intrinsic plasticity, spike-timing encoding, and visual adaptation within a single hardware unit, paving the way for more efficient edge-intelligent systems capable of real-time data processing. The newly designed bio-inspired neural network (BioNN) enhances image recognition capabilities by merging perception, memory, and computation, making it suitable for applications in autonomous driving, smart healthcare, and brain-machine interfaces. This advancement not only promises energy-efficient AI computation but also aims to facilitate the industrial application of 2D semiconductors, pushing neuromorphic computing closer to biological realism.