Researchers at Weill Cornell Medicine, Cornell Tech, and Cornell’s Ithaca campus have showcased the utilization of AI-selected natural and synthetic images as tools to explore the brain’s visual processing areas. Published in Communications Biology on Oct. 23, the study involved volunteers viewing images chosen or generated based on an AI model of the human visual system. Functional magnetic resonance imaging (fMRI) recorded brain activity, revealing that these images significantly activated target areas compared to control images. The study suggests a promising data-driven approach to understanding vision while potentially mitigating biases in image selection.
Source NeuroScienceNews
