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Selected recent publications by core members

2025

Alanazi, N., Fraysse, A., English, E.A., Quigley, S., Felix, J.A., Howes, M.J.R., Glassbrook, D., Hind, K. & Chazot, P., 2025. Exploring the effects of a multicomponent phytoceutical health product in a Drosophila melanogaster ageing and repetitive concussion model. Journal of Pharmacy and Pharmacology, advance online publication. https://doi.org/10.1093/jpp/rgaf062

Grubert, A., Wang, Z., Williams, E., Jimenez, M., Remington, R. & Eimer, M., 2025. The capacity limitations of multiple-template visual search during task preparation and target selection. Psychophysiology. https://doi.org/10.1111/psyp.14720

Hanson, J., Frame, J., Bai, E., Mehl, K., Jakubowski, K. & Belfi, A.M., 2025. Popular music and movies as autobiographical memory cues. Memory & Cognition, advance online publication. https://doi.org/10.3758/s13421-025-01765-2

Michallat-Bragg, G., Bennett, M., Flewitt, B.I., Kazmi, S., Smith, S.J., Wells, C., Hollins, A., Ash, C., Thwaites, S., Neil, W., Howett, D., Dexter-Smith, S., Chan, D., Dachtler, J., Poulter, S., Evans, S. & Lever, C., 2025. Exploring the sensitivity of episodic and spatial memory tests to healthy and pathological cognitive aging. Frontiers in Aging Neuroscience, 17, Article 1547834. https://doi.org/10.3389/fnagi.2025.1547834

Strickland, J.A., Austen, J.M., Sprengel, R. & Sanderson, D.J., 2025. The GRIA1 AMPA receptor subunit and selective learning. Neurobiology of Learning and Memory, 108089, pp.1–45. https://doi.org/10.1016/j.nlm.2025.108089


2024

Bocchio, M., Vorobyev, A., Sadeh, S., Brustlein, S., Dard, R., Reichinnek, S., Emiliani, V., Baude, A., Clopath, C. & Cossart, R., 2024. Functional networks of inhibitory neurons orchestrate synchrony in the hippocampus. PLOS Biology, 22(10), e3002837. https://doi.org/10.1371/journal.pbio.3002837

Buckley, M.G., Austen, J.M. & McGregor, A., 2024. The role of distal landmarks and individual differences in acquiring spatial representations that support flexible and automatic wayfinding. Journal of Environmental Psychology, 98, 102391. https://doi.org/10.1016/j.jenvp.2024.102391

Buckley, M., McGregor, A., Ihssen, N., Austen, J., Thurlbeck, S., Smith, S.P., Lew, A.R., et al., 2024. The well worn route revisited: striatal and hippocampal system contributions to familiar route navigation. Hippocampus, 34(7), pp.310–326. https://doi.org/10.1002/hipo.23607

McAteer, S.M., McGregor, A. & Smith, D.T., 2024. Precision in spatial working memory examined with mouse pointing. Vision Research, 215, 108343. https://doi.org/10.1016/j.visres.2023.108343

Watson, M., Logothetis, S.B., Green, D., Holland, M., Chambers, P. & Al Moubayed, N., 2024. Performance of machine learning versus the National Early Warning Score for predicting patient deterioration risk: a single-site study of emergency admissions. BMJ Health & Care Informatics, 31(1), e101088. https://doi.org/10.1136/bmjhci-2024-101088

Wiese, H., Schweinberger, S.R. & Kovács, G., 2024. The neural dynamics of familiar face recognition. Neuroscience & Biobehavioral Reviews, 167, 105943. https://doi.org/10.1016/j.neubiorev.2024.105943

Zhu, H., Beierholm, U.R. & Shams, L., 2024. BCI toolbox: an open source Python package for the Bayesian causal inference model. PLOS Computational Biology, 20(7), e1011791. https://doi.org/10.1371/journal.pcbi.1011791


2023

Becker, S.I., Grubert, A., Horstmann, G. & Ansorge, U., 2023. Which processes dominate visual search: bottom-up feature contrast, top-down tuning or trial history? Cognition, 236, 105420. https://doi.org/10.1016/j.cognition.2023.105420

Hines, M., Poulter, S., Douchamps, V., Pibiri, F., McGregor, A. & Lever, C., 2023. Frequency matters: how changes in hippocampal theta frequency can influence temporal coding, anxiety-reduction, and memory. Frontiers in Systems Neuroscience, 16, 998116. https://doi.org/10.3389/fnsys.2022.998116

Leprince, E., Dard, R.F., Mortet, S., Filippi, C., Kurz, M.G., Bourboulou, R., Lenck Santini, P.-P., Picardo, M.A., Bocchio, M., Baude, A. & Cossart, R., 2023. Extrinsic control of the early postnatal CA1 hippocampal circuits. Neuron, 111(6), pp.888–902.e8. https://doi.org/10.1016/j.neuron.2022.12.013

McAteer, S.M., Ablott, E., McGregor, A. & Smith, D.T., 2023. Dynamic resource allocation in spatial working memory during full and partial report tasks. Journal of Vision, 23(2), 10. https://doi.org/10.1167/jov.23.2.10

Olkhova, E.A., Bradshaw, C., Blain, A., Alvim, D., Turnbull, D.M., LeBeau, F.E.N., Ng, Y.S., Gorman, G.S. & Lax, N.Z., 2023. A novel mouse model of mitochondrial disease exhibits juvenile-onset severe neurological impairment due to parvalbumin cell mitochondrial dysfunction. Communications Biology, 6(1), 1132. https://doi.org/10.1038/s42003-023-05238-7

Popova, T. & Wiese, H., 2023. Developing familiarity during the first eight months of knowing a person: a longitudinal EEG study on face and identity learning. Cortex, 171, pp.13–25. https://doi.org/10.1016/j.cortex.2023.04.008

Rodarie, D., Verasztó, C., Roussel, Y., Reimann, M., Keller, D., Ramaswamy, S., Markram, H. & Gewaltig, M.-O., 2023. A method to estimate the cellular composition of the mouse brain from heterogeneous datasets. PLOS Computational Biology, 19(10), e1010738. https://doi.org/10.1371/journal.pcbi.1010738

Sanderson, D.J., Austen, J.M., McGregor, A. & Strickland, J.A., 2023. Probability and rate of reinforcement in negative prediction error learning. Learning & Behavior, 51(4), pp.379–392. https://doi.org/10.3758/s13420-023-00591-4

Yu, J., Cristea, A.I., Harit, A., Sun, Z., Aduragba, O.T., Shi, L. & Al Moubayed, N., 2023. Language as a latent sequence: deep latent variable models for semi-supervised paraphrase generation. AI Open, 4, pp.1–14. https://doi.org/10.1016/j.aiopen.2023.05.001

Zaaimi, B., Turnbull, M., Hazra, A., Wang, Y., Gandara, C., McLeod, F., McDermott, E.E., Escobedo-Cousin, E., Idil, A.S., Bailey, R.G., Tardio, S., Patel, A., Ponon, N., Gausden, J., Walsh, D., Hutchings, F., Kaiser, M., Cunningham, M.O., Clowry, G.J., LeBeau, F.E.N., Constandinou, T.G., Baker, S.N., Donaldson, N., Degenaar, P., O’Neill, A., Trevelyan, A.J. & Jackson, A., 2023. Closed-loop optogenetic control of the dynamics of neural activity in non-human primates. Nature Biomedical Engineering, 7(4), pp.559–575. https://doi.org/10.1038/s41551-022-00945-8