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Published July 2, 2008 | Published
Journal Article Open

What grid cells convey about rat location

Abstract

We characterize the relationship between the simultaneously recorded quantities of rodent grid cell firing and the position of the rat. The formalization reveals various properties of grid cell activity when considered as a neural code for representing and updating estimates of the rat's location. We show that, although the spatially periodic response of grid cells appears wasteful, the code is fully combinatorial in capacity. The resulting range for unambiguous position representation is vastly greater than the ≈1–10 m periods of individual lattices, allowing for unique high-resolution position specification over the behavioral foraging ranges of rats, with excess capacity that could be used for error correction. Next, we show that the merits of the grid cell code for position representation extend well beyond capacity and include arithmetic properties that facilitate position updating. We conclude by considering the numerous implications, for downstream readouts and experimental tests, of the properties of the grid cell code.

Additional Information

© 2008 Society for Neuroscience. Beginning six months after publication the Work will be made freely available to the public on SfN's website to copy, distribute, or display under a Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). Received Jan. 4, 2008; revised April 7, 2008; accepted April 28, 2008. I.R.F. and Y.B. were supported by National Science Foundation Grant PHY 99-07949 to the Kavli Institute for Theoretical Physics. I.R.F. is a Broad Senior Fellow in Brain Circuitry. Y.B. is a Swartz Fellow in Theoretical Neuroscience. T.B. was supported by the McDonnell and Packard Foundations, National Science Foundation Grant DMR-0606092, and the Institute of Collaborative Biotechnologies through Army Research Office Grants DAAD19-03-D-0004 and W911NF-07-1-0072.We are grateful to the referees for their useful suggestions; to Bill Bialek, Loren Frank, Torkel Hafting, Behrooz Parhami, Michael Stryker, and David Tank for discussions; and to Kenneth Blum, Markus Meister, Uri Rokni, and Tobi Szuts for helpful comments on this manuscript.

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August 22, 2023
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