Active Brain & Nervous System

Sainsbury Wellcome Centre Core Grant Renewal

In plain English

AI plain-English summary

A single research centre in London is bringing neuroscientists and machine learning experts together under one roof to reverse-engineer how brains produce intelligence, then build artificial systems that work the same way. This matters because current AI, while powerful, does not actually think like a brain. It cannot flexibly learn, reason, or adapt the way humans do. Meanwhile, psychiatry and neurology lack a mechanistic understanding of how perception, decision-making, and goal-setting break down in conditions such as schizophrenia or dementia. The centre aims to close that gap by studying both biological and artificial intelligence side by side, using each to inform the other. If successful, the work could lead to more robust, ethical AI systems that learn efficiently and generalise well—unlike today’s data-hungry models. It could also reveal the neural basis of cognitive symptoms, pointing toward better diagnostic tools or treatments. The centre’s interdisciplinary PhD programmes and outreach across the UK and low- and middle-income countries aim to diversify the next generation of researchers. This is primarily fundamental science: understanding how brains generate cognition and behaviour. Past discoveries in this vein have seeded companies tackling health and education challenges, but the core goal is to explain intelligence itself.

View original technical description
Together, the Sainsbury Wellcome Centre and Gatsby Computational Neuroscience Unit seek to understand mechanisms of intelligence in brains and machines, by leveraging synergies between neuroscience and machine learning. To achieve our goal, we have assembled outstanding experimentalists, theorists, mathematicians and engineers, in an exceptional environment that promotes collaboration, bold science, innovation and progressive research culture. Our discoveries are helping explain how individuals perceive, make decisions, reason, navigate, organise knowledge, choose goals and act in dynamic environments, and how learning shapes these processes; while simultaneously advancing algorithms and theories behind their artificial analogues. This knowledge is prerequisite for understanding cognitive and psychiatric symptoms and developing more robust, ethical AI systems. Our impact extends beyond scientific discoveries and new technologies. We are committed to nurturing the next generation and increasing diversity in STEM through unique, interdisciplinary PhD programmes, early career support, and targeted outreach across the UK and Low- and Middle-Income countries. Our successful knowledge transfer has seeded the creation of companies at the forefront of solving health and educational challenges. These externally-engaged, cross- disciplinary efforts address the global challenges of understanding how brains generate cognition and behaviour, shaping the future of intelligent systems and improving research culture, thus driving positive societal impact.

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Researchers

Tom Mrsic-Flogel (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Sainsbury Wellcome Centre for Neural Circuits and Behaviour; Core Grant Award Part 1.
Centre for Spatial Computational Learning
Behavioural and Clinical Neuroscience Institute (BCNI)
SSA - Neuronal Principles Underlying Flexible Behaviour
EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems

Original classification

Discretionary Award

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