Staff profile
Dr Steven Poulter
Assistant Professor
Affiliation | Telephone |
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Assistant Professor in the Department of Psychology | +44 (0) 191 33 43993 |
Biography
Research Overview
My research investigates how the building blocks of memory (neurons) work in a part of the brain called the hippocampus – one of the brain regions first affected in Alzheimer’s disease. We know one of the key signs of Alzheimer’s disease is the patient forgetting where objects, such as keys, are located, but to understand why these memory problems occur we must identify and then characterise the types of brain cells affected. A substantial body of work has identified certain types of brain cells in the hippocampus that code for where we are in an environment (our inner GPS), but less is known about the brain cells coding for where other things are. Recently, we discovered a new type of brain cell, the Vector Trace Cell (VTC) - featured as a cover story in New Scientist, in over 100 media outlets worldwide, and published in Nature Neuroscience 2021 - that not only codes for the locations of objects but remembers those locations even when the objects are no longer present. This newly discovered cell type provides a novel testbed to a) better understand the neurobiological bases of memory formation; b) test Alzheimer drug treatments; c) design novel virtual reality tasks more sensitive and specific for early Alzheimer’s disease than gold standard cognitive tests of the kind used clinically and in research studies.
Publications
Journal Article
- Bennett, L., de Cothi, W., Muessig, L., Rodrigues, F. R., Cacucci, F., Wills, T. J., Sun, Y., Giocomo, L. M., Lever, C., Poulter, S., & Barry, C. (in press). Unifying Subicular Function: A Predictive Map Approach
- Ross, T. W., Poulter, S. L., Lever, C., & Easton, A. (2024). Mice integrate conspecific and contextual information in forming social episodic-like memories under spontaneous recognition task conditions. Scientific Reports, 14(1), Article 16159. https://doi.org/10.1038/s41598-024-66403-4
- 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, https://doi.org/10.3389/fnsys.2022.998116
- Poulter, S., Lee, S. A., Dachtler, J., Wills, T. J., & Lever, C. (2021). Vector trace cells in the subiculum of the hippocampal formation. Nature Neuroscience, 24, 266-275. https://doi.org/10.1038/s41593-020-00761-w
- Poulter, S. L., Kosaki, Y., Sanderson, D. J., & McGregor, A. (2020). Spontaneous object-location memory based on environmental geometry is impaired by both hippocampal and dorsolateral striatal lesions. Brain and Neuroscience Advances, 4, https://doi.org/10.1177/2398212820972599
- Poulter, S., Austen, J. M., Kosaki, Y., Dachtler, J., Lever, C., & McGregor, A. (2019). En route to delineating hippocampal roles in spatial learning. Behavioural Brain Research, 369, Article 111936. https://doi.org/10.1016/j.bbr.2019.111936
- Poulter, S., Hartley, T., & Lever, C. (2018). The neurobiology of mammalian navigation. Current Biology, 28(17), R1023-R1042. https://doi.org/10.1016/j.cub.2018.05.050
- Korotkova, T., Ponomarenko, A., Monaghan, C. K., Poulter, S. L., Cacucci, F., Wills, T., Hasselmo, M. E., & Lever, C. (2017). Reconciling the different faces of hippocampal theta: The role of theta oscillations in cognitive, emotional and innate behaviors. Neuroscience & Biobehavioral Reviews, 85, 65-80. https://doi.org/10.1016/j.neubiorev.2017.09.004
- Kosaki, Y., Poulter, S., Austen, J., & McGregor, A. (2015). Dorsolateral striatal lesions impair navigation based on landmark-goal vectors but facilitate spatial learning based on a "cognitive map". Learning & Memory, 22(3), 179-191. https://doi.org/10.1101/lm.037077.114
- Poulter, S., Kosaki, Y., Easton, A., & McGregor, A. (2013). Spontaneous object recognition memory is maintained following transformation of global geometric properties. Journal of experimental psychology. Animal behavior processes, 39(1), 93-98. https://doi.org/10.1037/a0030698