Zhenghan Li
Papers
1
Total Citations
10
H-Index
1
About
Zhenghan Li is a cognitive neuroscientist whose research lies at the intersection of multisensory integration, computational modeling, and developmental cognitive science. Her most cited work, "A computational model of crossmodal processing for conflict resolution" (2017, 10 citations), introduces a novel framework for understanding how the brain resolves conflicts between sensory inputs—such as vision and hearing—to produce a unified perceptual experience. This model captures the progressive refinement of multisensory processing during development, offering mechanistic insights into how infants and children learn to integrate conflicting cues in noisy environments. Li’s contributions are notable for bridging computational theory with empirical findings, providing a testable architecture for how neural circuits achieve perceptual coherence. Her work has implications for understanding developmental disorders where multisensory integration is disrupted, such as autism spectrum disorder. With a growing citation footprint, Li is establishing herself as a rising voice in computational cognitive science, and her model remains a key reference for researchers studying crossmodal plasticity and sensory learning.
Research Focus
Key Achievements
Top Papers
- 1A computational model of crossmodal processing for conflict resolution10 citations · 2017