Research groups

Conor Houghton group

first.last(at)bristol.ac.uk
google scholar
group website

Conor Houghton group works on language processing in the brain, models of the cerebellum and information theory for neural data.

keywords: neurolinguistics, language, cerebellum, information theory.


Neural & machine learning group
(Principal investigator: Rui Ponte Costa)

first.last(at)bristol.ac.uk
google scholar
group website

The Neural and machine learning group seeks to understand the principles of learning in the brain. Our work draws inspiration from different disciplines (neuroscience, machine learning, statistics, computer science, physics) across multiple levels of analysis, from single synapse to cross-area interactions via neural circuits. We collaborate with experimental and theoretical/machine learning labs in the UK and internationally.


keywords: Cortical circuits, synaptic plasticity, credit assignment, neuromodulation, systems neuroscience, machine learning and deep learning.


Laurence Aitchison group

first.last(at)gmail.com
google scholar
group website

Laurence Aitchison group uses Bayesian approaches to uncover the theoretical principles behind biological and artificial intelligence, and at the same time we develop novel algorithms for data-analysis and apply them to datasets ranging from calcium-imaging to human behaviour.

keywords: synaptic plasticity, representation learning, calcium-imaging, probabilistic inference, deep learning, variational autoencoders


Nathan Lepora group

first.last(at)bristol.ac.uk
google scholar
group website

Nathan Lepora group does research at the intersection between robotics, sensory neuroscience and machine learning. The group is also affiliated with the Bristol Robotics Lab.

keywords: Tactile robotics, decision making and machine learning.


Cognition, Anatomy & NNets (CANN) group
(Principal investigator: Seán Froudist-Walsh)

(see website)
google scholar
group website

We combine data science, neuroanatomy, computational neuroscience and machine learning techniques to tackle fundamental questions about how the brain works. We search for general principles of brain organisation and propose theories of how neural networks that are spread across multiple brain areas produce cognition under normal conditions and during stress.


keywords: Brain-wide modelling, cortical circuits, neuromodulation, memory, consciousness, stress, psychiatry.


We collaborate with research groups nationally and internationally, but also across the university:


BristolCNU       BristolCNU       engf-compneuro@bristol.ac.uk

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