A game-theoretic framework for multimodal information utilization under heterogeneous processing environments in neuroscience and perception science
Kai Li
Multimodal data integration is increasingly central to neuroscience and perception science, where heterogeneous signals such as behavioral responses, sensory inputs, electrophysiological recordings, neuroimaging measurements, and computational representations must be jointly interpreted. Based on the realistic background, there is a core theoretical problem that needs further research: under what heterogeneous processing conditions does enhanced multimodal information utilization produce meaning
