Neuroscience datasets are expanding rapidly in both size and volume. However, integrating information across diverse datasets to form a unified understanding of brain function remains challenging. In this talk, I will discuss our initiatives to combine datasets from various tasks, brain regions, and species into a unified ‘neurofoundation’ model. This foundational model promises to enhance data efficiency, brain-machine interface and neural decoder capabilities, and offer advanced, user-friendly tools to the broader neuroscience community. These efforts mark a significant step towards a more integrated methodology in neural data analysis.