Ultralow Power Optoelectronic Reconfigurable Hf 0.2 Zr 0.8 O x -Based Antiferroelectric Device for Adaptive Image Recognition

), high uniformity, and high stability. Based on reconfigurable artificial neurons and synapses, adaptive image recognition outperformed existing preprocessing steps. The on-chip power consumption was reduced by 42.1% without degradation of the recognition accuracy. This work opens positive directions to achieve highly efficient neuromorphic systems with multichannel hybrid stimuli, which provides a promising approach to building energy-efficient neuromorphic hardware.