Making Neural Data and Algorithms Interoperable Across the World

This session examines strategies for achieving interoperability among data, data platforms, analysis pipelines, and modeling tools across major international brain initiatives. Each initiative brings unique strengths—such as the comprehensive EBAINS platform, the U.S. BRAIN Initiative data archives and brainlife.io platform, and the marmoset and human data and tools from Japan’s Brain/MINDS project. By integrating these complementary efforts, we aim to identify new opportunities to deepen our understanding of brain function and to accelerate translational research in clinical neuroscience. A key focus will be on how detailed circuit data and computational models derived from rodent, non-human and human primate research can inform large-scale brain models to better elucidate cognitive processes and neuropsychiatric disorders. The recent rapid advances in large language models (LLMs) and their interoperability via the Model Context Protocol (MCP) further open novel pathways for harmonizing diverse data formats, ontologies, species, biophysical scales, and geographic boundaries. In this session, three speakers from Europe, the United States, and Japan will share their current initiatives and perspectives on promoting global data and tool interoperability, followed by an open discussion to brainstorm collaborative frameworks and future research directions.