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- Professor of Quantative Neuroscience
- IoN Motor Neurosci & Mov Disorders
- Institute of Neurology
- Faculty of Brain Sciences
I studied mathematics at Cambridge University, did a PhD in robotics at UCL, then moved to Rutgers University in the United States for postdoctoral work in neuroscience. Before returning to UCL in 2012, I was Associate Professor of Neuroscience at Rutgers, and Professor of Neurotechnology at Imperial College London. I am currently Professor of Quantitative Neuroscience, jointly appointed in the Institute of Neurology and the Department of Physiology, Pharmacology, and Neuroscience.
The brain is made of billions of neurons, which together form the world's most powerful information-processing machine. Neurons are complex devices, but what is most amazing is how they organize themselves together into networks that intelligently control behaviour, constantly learning and adapting to changing circumstances. This happens with no central point of control; instead, something about neurons causes them to automatically organize into functional information-processing systems.
Our research studies the computation and biology of neuronal
self-organization. We approach this in an interdisciplinary way, involving
quantitative analysis of large-scale neuronal recordings, and theoretical models of neuronal computation.