Brain-Score, a rapidly expanding platform, compiles a wide array of neural and behavioral data from non-human primate neuroscience experiments. It facilitates the evaluation of computational models of the brain's visual system. By translating machine learning models into neuroscientific hypotheses and converting neuroscience data into quantitative benchmarks, Brain-Score offers both computational and experimental advancements to the broader community synergistically. This proposal aims to expand Brain-Score to include data from human experiments, making it accessible to the cognitive neuroscience community and enhancing the applicability of computational models. The objectives are as follows:

• Develop software for human data integration.
• Curate the Natural Scenes Dataset (NSD) for reproducible model evaluations.
• Include the THINGS-similarity dataset for accessible and reproducible model assessments.