Marius Bauza
Affiliations: | University College London |
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Spatial navigation, spatial cellsGoogle:
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Publications
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Rule ME, Chaudhuri-Vayalambrone P, Krstulovic M, et al. (2023) Variational log-Gaussian point-process methods for grid cells. Hippocampus |
Ho H, Kejzar N, Sasaguri H, et al. (2023) A fully automated home cage for long-term continuous phenotyping of mouse cognition and behavior. Cell Reports Methods. 3: 100532 |
Chaudhuri-Vayalambrone P, Rule ME, Bauza M, et al. (2023) Simultaneous representation of multiple time horizons by entorhinal grid cells and CA1 place cells. Cell Reports. 42: 112716 |
Bauza M, Krstulovic M, Krupic J. (2023) Unsupervised, frequent and remote: A novel platform for personalised digital phenotyping of long-term memory in humans. Plos One. 18: e0284220 |
Steinmetz NA, Aydin C, Lebedeva A, et al. (2021) Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings. Science (New York, N.Y.). 372 |
Wood RA, Bauza M, Krupic J, et al. (2020) Author Correction: The honeycomb maze provides a novel test to study hippocampal-dependent spatial navigation. Nature |
Krupic J, Bauza M, Burton S, et al. (2018) Local transformations of the hippocampal cognitive map. Science (New York, N.Y.). 359: 1143-1146 |
Wood RA, Bauza M, Krupic J, et al. (2018) The honeycomb maze provides a novel test to study hippocampal-dependent spatial navigation. Nature |
Jun JJ, Steinmetz NA, Siegle JH, et al. (2017) Fully integrated silicon probes for high-density recording of neural activity. Nature. 551: 232-236 |
Krupic J, Bauza M, Burton S, et al. (2016) Framing the grid: Effect of boundaries on grid cells and navigation. The Journal of Physiology |