Caswell Barry

Caswell Barry
Born	(1977-12-02) 2 December 1977 Sutton Coldfield, England
🎓 Alma mater	New College, Oxford (BA) University College London (MSc, PhD)
💼 Occupation
Known for	Spatial memory Grid cells Place cells Hippocampal replay NeuroAI
🏅 Awards	Sir Henry Dale Fellowship (2013) Wellcome Senior Research Fellowship (2018)
🌐 Website	barry-lab.com

Caswell Barry (born 2 December 1977) is a British neuroscientist, author, and Professor of Neuroscience and AI at University College London (UCL). His research focuses on how the brain represents space and enables navigation, with particular expertise in hippocampal place cells, grid cells, and neural replay mechanisms. Barry has published over 50 papers with more than 10,000 citations, and his collaborative work with DeepMind on artificial neural networks that develop grid-cell-like representations received widespread international media coverage including in the Financial Times, The Guardian, Wired, Quanta Magazine, Nature News, Scientific American, and ABC News Australia. He is the author of Inside Your Brain, a children's book on neuroscience shortlisted for the School Library Association Children's Non-Fiction Book of the Year 2025.

Education

Barry was educated at Queen Mary's Grammar School in Walsall. He studied Biological Sciences at New College, Oxford, graduating with a Bachelor of Arts in 1999. He then moved to University College London, completing an MSc in Neuroscience (1999–2000) before undertaking doctoral research under the supervision of Neil Burgess and Kate Jeffery. His PhD thesis, Terra Cognita: Representations of Space in the Rodent Hippocampus and Entorhinal Cortex, was awarded in 2007.

Career

Following his doctorate, Barry worked as a postdoctoral researcher at UCL with Neil Burgess and Nobel laureate John O'Keefe, before undertaking a fellowship at Boston University from 2011 to 2012. Barry returned to UCL in 2012 and was awarded a UCL Excellence Fellowship in 2013, followed by a Sir Henry Dale Fellowship from the Wellcome Trust and Royal Society. In 2018, he received a Wellcome Senior Research Fellowship, and was appointed Professor of Neuroscience and AI in 2019. In January 2024, he became Vice Dean (Research) in the Faculty of Life Sciences at UCL. He also chairs UCL's NeuroAI Committee, which coordinates research bridging neuroscience and artificial intelligence, and serves on the editorial board of Hippocampus.

Research

Grid cells

Barry's early research focused on the entorhinal cortex and grid cells, neurons discovered by Edvard Moser and May-Britt Moser that fire in regular hexagonal patterns as an animal navigates through space. In 2007, Barry and colleagues published experimental evidence demonstrating that grid cells are organised into discrete modules, with cells within each module sharing the same orientation and spacing, and a preserved scaling scheme between modules. This modular organisation is now understood to be fundamental to how grid cells encode space. Barry was a co-author of the influential oscillatory interference model of grid cell firing, proposed with Neil Burgess and John O'Keefe, which suggested that grid patterns emerge from interference between neural oscillations at different frequencies. This paper has been cited over 850 times and remains one of the major theoretical frameworks for understanding grid cell mechanisms. Later work examined how grid cells represent connected environments, demonstrating that grids form a single coherent spatial representation across spaces that can be physically traversed, rather than treating separate areas independently. Barry also contributed to computational models showing how grid cells could provide a metric framework for calculating heading vectors during navigation.

Place cells and boundary vector cells

Barry has made substantial contributions to understanding place cells, hippocampal neurons that fire when an animal occupies a specific location. In 2006, Barry and colleagues published a comprehensive review of the boundary vector cell (BVC) model—which proposes that place cell firing fields are constructed from inputs encoding distance and direction to environmental boundaries—together with new experimental evidence demonstrating that BVCs exist in the brain. This paper, cited over 580 times, has been highly influential in explaining how the hippocampus constructs spatial representations from sensory information. Barry has also published review articles synthesising research on the neural mechanisms underlying self-location.

Hippocampal replay

A significant focus of Barry's research has been hippocampal replay, the phenomenon whereby sequences of place cell activity experienced during behaviour are later reactivated during rest or sleep. His laboratory has shown that replay occurs in distinct functional forms: during stationary periods, replay is associated with memory consolidation, while during active task engagement, replay becomes more task-relevant and may support planning and decision-making. Barry's group was the first to describe replay in grid cells, demonstrating that coordinated reactivation during rest is not limited to place cells but extends to the entorhinal cortex. They observed that grid cell replay lagged behind place cell replay, suggesting that replay originates in the hippocampus and propagates to connected regions. Further work demonstrated that replay can traverse locations the animal has not visited, following trajectories toward reward locations, providing evidence that replay may serve a role in planning and imagination.

Artificial intelligence and grid cells

In 2018, Barry collaborated with DeepMind on research published in Nature demonstrating that artificial neural networks trained to perform path integration spontaneously develop spatial representations resembling biological grid cells. The study suggested that grid-like representations may be an optimal solution for spatial navigation, arising in both biological and artificial systems when performing similar computational tasks. The research received extensive international media coverage. The Guardian quoted Barry stating that the team were "surprised how well it worked" and that "the degree of similarity is absolutely striking." Nobel laureate Edvard Moser commented that the work demonstrated an "important advance" in understanding the computational principles underlying grid cells. Coverage appeared in major outlets including the Financial Times, Wired, Quanta Magazine, Nature News, Scientific American, Science News, MIT Technology Review, and ABC News Australia.

Software tools

Barry's laboratory has developed open-source software tools for the neuroscience research community. RatInABox, a Python toolkit for simulating locomotion and neural activity in continuous environments, has been downloaded over 66,000 times and has more than 220 GitHub stars. The toolkit provides standardised methods for generating synthetic trajectories and neural data for place cells, grid cells, and other spatially modulated cell types, and has been used both for research and teaching. An eLife editorial described it as "a highly important contribution to computational neuroscience."

Public engagement

Barry is the author of Inside Your Brain (2025), a children's book about neuroscience published by Thames & Hudson. The book was shortlisted for the School Library Association Children's Non-Fiction Book of the Year 2025. Since 2021, Barry has co-presented Brain Stories, a podcast exploring neuroscience research. He has also appeared at the Royal Institution discussing how the brain enables navigation, and featured in educational videos produced by DeepMind.

Personal life

Barry lives in London.

Selected publications

• Doeller, CF; Barry, C; Burgess, N (2010). "Evidence for grid cells in a human memory network". Nature. 463 (7281): 657–661. Bibcode:2010Natur.463..657D. doi:10.1038/nature08704. PMC 3173857. PMID 20090680. – First evidence of grid-cell-like signals in humans
• Burgess, N; Barry, C; O'Keefe, J (2007). "An oscillatory interference model of grid cell firing". Hippocampus. 17 (9): 801–812. doi:10.1002/hipo.20327. PMC 2678278. PMID 17598147. – Oscillatory interference theory of grid cells
• Barry, C; Lever, C; Hayman, R; Hartley, T; Burton, S; O'Keefe, J; Jeffery, K; Burgess, N (2006). "The boundary vector cell model of place cell firing and spatial memory". Reviews in the Neurosciences. 17 (1–2): 71–97. doi:10.1515/REVNEURO.2006.17.1-2.71. PMC 2677716. PMID 16703944. – Review and experimental evidence for boundary vector cells
• Banino, A; Barry, C; et al. (2018). "Vector-based navigation using grid-like representations in artificial agents". Nature. 557 (7705): 429–433. Bibcode:2018Natur.557..429B. doi:10.1038/s41586-018-0102-6. PMID 29743670. – DeepMind grid cell AI research
• Ólafsdóttir, HF; Carpenter, F; Barry, C (2016). "Coordinated grid and place cell replay during rest". Nature Neuroscience. 19 (6): 792–794. doi:10.1038/nn.4291. PMID 27089021. – First description of grid cell replay

External links

• Official website
• UCL Faculty Profile
• Google Scholar profile
• RatInABox on GitHub

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