The entorhinal cortex contains neurons that represent self-location, including grid cells that fire in periodic locations and velocity signals that encode running speed and head direction. Although the size and shape of the environment influence grid patterns, whether entorhinal velocity signals are equally influenced or provide a universal metric for self-motion across environments remains unknown. Here we report that speed cells rescale after changes to the size and shape of the environment. Moreover, head direction cells reorganize in an experience-dependent manner to align with the axis of environmental change. A knockout mouse model allows dissociation of the coordination between cell types, with grid and speed cells, but not head direction cells, responding in concert to environmental change. These results point to malleability in the coding features of multiple entorhinal cell types and have implications for which cell types contribute to the velocity signal used by computational models of grid cells.
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Data that support the findings of this study are available from the corresponding authors upon reasonable request.
Code used in the analyses described in this manuscript can be accessed at: https://github.com/GiocomoLab/Munn_et_al_2019. The code used in the LNP model can be accessed at https://github.com/GiocomoLab/ln-model-of-mec-neurons
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L.M.G. recieves funding as a New York Stem Cell Foundation–Robertson Investigator. This work was supported by funding from the New York Stem Cell Foundation, NIMH MH106475, the Office of Naval Research N000141812690, the Simons Foundation 542987SPI, the Whitehall Foundation, the James S. McDonnell Foundation and a Klingenstein–Simons award to L.M.G.; the Philip Wrightson Postdoctoral Fellowship from the Neurological Foundation of New Zealand awarded to R.G.M.; a National Science Foundation Graduate Research Fellowship awarded to C.S.M; a Stanford Interdiscplinary Graduate Fellowship awarded to K.H.; and NINDS NS059934 to D.M.C. We thank A. Borrayo and A. Diaz for histology assistance and M.E. Hasselmo for input on the oscillatory interference model.
The authors declare no competing interests.
Peer review information Nature Neuroscience thanks Dori Derdikman and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Munn, R.G.K., Mallory, C.S., Hardcastle, K. et al. Entorhinal velocity signals reflect environmental geometry. Nat Neurosci 23, 239–251 (2020). https://doi.org/10.1038/s41593-019-0562-5
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