Yinghong Cao

Papers

Total Citations

H-Index

About

Yinghong Cao is an emerging researcher in neuromorphic engineering and cognitive computing, whose work explores the intersection of memristive devices, neural network circuits, and emotional memory. Their key research areas include bionic neural networks, crossmodal integration, and the modeling of forgetting effects in artificial systems. In a notable 2025 paper, Cao introduced a novel memristor-based bionic neural network circuit that mimics the brain’s ability to integrate sensory inputs across modalities and replicate natural forgetting processes—a contribution that has already garnered 4 citations and signals growing interest in hardware implementations of cognitive functions. Complementing this, Cao’s study on emotional changes induced by associative memory (3 citations) delves into how artificial networks can simulate affective responses linked to memory recall, bridging computational neuroscience and emotion theory. Though early in their career, Cao’s work stands out for its innovative use of memristors to achieve biologically plausible plasticity and crossmodal fusion, offering a promising foundation for next-generation brain-inspired computing. Their research holds potential for applications in adaptive robotics, neuromorphic hardware, and understanding the neural basis of memory-emotion interactions.