In Neural Computation we apply computational and mathematical approaches to the study of the brain and, in the other direction, we seek to uncover insights into computation and mathematics by studying how the brain works.​ This work draws inspiration from a wide range of disciplines including neuroscience, mathematics, cognitive science, machine learning, digital health, statistics, robotics, computer science and physics. 

Neural Computation is about deducing function from form and so we are interested in how neuronal circuits support brain function, how dynamics at different scales, from molecule, through neuronal circuits to the embodied brain, contribute to computation and inference. In parallel, this understanding of computation in the brain can be used to improve machine learning. In trying to answer these questions we bring combine mathematical modelling, the statistics of large data and machine learning with experimental observations.

Neural Computation Hub Steering Group:

• Conor Houghton (Hub Lead: Associate Professor in Computer Science, School of Engineering Mathematics and Technologys)
• Denize Atan (Associate Professor in Neuro-ophthalmology, Neuroscience and Genetics, Bristol Medical School: Translational Health Sciences)
• Jeff Bowers (Professor, School of Psychological Science)
• Maija Filipoviča (PhD student, School of Computer Science, Electrical and Electronic Engineering and Engineering Maths)
• Nathan Lepora (Professor of Robotics and AI, School of Engineering Mathematics and Technology)

 Read more about the work and members of the Bristol Computational Neuroscience Unit