Oxford NeuroAI

NeuroAI represents one of the most exciting interdisciplinary frontiers in modern science, bridging neuroscience and artificial intelligence to uncover fundamental principles of information processing in both biological and artificial systems. This emerging field covers diverse ideas and approaches: from mining biological mechanisms to inspire new AI architectures, to using AI tools to better understand brain function, or developing brain-computer interfaces that merge biological and artificial intelligence. As NeuroAI is still defining itself as a discipline, researchers have tremendous opportunities to shape its foundations and tackle fundamental questions about computation, learning, and intelligence that have puzzled scientists for decades.

This page serves as a comprehensive guide to NeuroAI activities across the University of Oxford. Given the highly interdisciplinary nature of this field, relevant research is happening across multiple departments and divisions — from Computer Science and Engineering to Psychology, Physiology, and beyond. Below you can find information on the breadth of NeuroAI teaching and research taking place at Oxford and how to engage with NeuroAI at Oxford. For prospective students, we highlight graduate-level degree programmes that can prepare you for NeuroAI research. For current students, we showcase classes offered by the university at this intersection of neuroscience and AI. For research staff, we feature open lectures and seminars exploring NeuroAI topics. For research students, we provide an overview of laboratories working on NeuroAI across Oxford's departments.