Institute of Psychiatry, Psychology & Neuroscience

Computational neuroscience and analytics

We want to understand the structure of the brain, how different regions are connected and the effect of any changes to these connections. We lead the world in imaging and analysis and are continuously innovating and developing novel approaches in all areas of magnetic resonance imaging (MRI) and analysis. MRIs can show structure, function, or connections, and improvements in analysis continue to make real differences for patients.

In contrast, computer modelling enables us to investigate the effects of changing a single factor. We use computers to predict and analyse how our brains work to gain insights into this exquisitely complicated organ.

Click people profiles to discover their research:

Dr Ahmad Al Khleifat

Senior Research Fellow
Professor Ammar Al-Chalabi

Professor of Neurology and Complex Disease Genetics
Professor Gareth Barker

Professor of Magnetic Resonance Physics
Dr QueeLim Ch'ng

Reader in Systems Biology and Neuroscience
Professor Patrick Doherty

Emeritus Professor
Dr Vincent Giampietro

Reader in Neuroscience Education
Dr Frank Hirth

Reader of Evolutionary Neuroscience
Professor Heinz Jungbluth

Professor of Paediatric Neurology & Consultant Paediatric Neurologist
Dr Laura Mantoan Ritter

Consultant Neurologist and Adjunct Reader
Dr Andrew Meso

Senior Lecturer in Computational Neuroscience
Professor Rosalyn Moran

Professor of Computational Neuroscience
Dr Sonja Pyott

Senior Lecturer
Professor Mark Richardson

Head of School (Neuroscience)
Professor Federico Turkheimer

Professor in Neuroimaging (Analysis & Statistics)
Professor Steve Williams

Professor of Neuroimaging
Dr Toby Wise

Senior Research Fellow
Dr Fernando Zelaya

Reader in Physiological Neuroimaging