Place-cell representation of volumetric space in rats
datasetposted on 12.06.2020 by Roddy Grieves, Selim Jedidi-Ayoub, Karyna Mishchanchuk, Anyi Liu, Sophie Renaudineau, Kate Jeffery
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Summarised dataset in Matlab compatible files used to analyse and generate figures for:
Roddy M. Grieves, Selim Jedidi-Ayoub, Karyna Mishchanchuk, Anyi Liu, Sophie Renaudineau and Kate J. Jeffery (2019) The place-cell representation of volumetric space in rats
In submission to NatComms, a preprint version is also available on bioRxiv: https://doi.org/10.1101/698175
Place cells are spatially modulated neurons found in the hippocampus that underlie spatial memory and navigation: how these neurons represent 3D space is crucial for a full understanding of spatial cognition. We wirelessly recorded place cells in rats as they explored a cubic lattice climbing frame which could be aligned or tilted with respect to gravity. Place cells represented the entire volume of the mazes: their activity tended to be aligned with the maze axes, and when it was more difficult for the animals to move vertically the cells represented space less accurately and less stably. These results demonstrate that even surface-dwelling animals represent 3D space and suggests there is a fundamental relationship between environment structure, gravity, movement and spatial memory.
All main text and most supplementary figures and analyses can be replicated using this summary dataset in combination with the Matlab code bundle which is also available for download. Matlab .mat files are provided in zipped format (11.15 GB). A readme file with some introductory text is also provided (4 kB).