Place cell maps slowly develop via competitive learning and conjunctive coding in the dentate gyrus

Soyoun Kim, Dajung Jung and Sébastien Royer ()
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Soyoun Kim: Korea Institute of Science and Technology
Dajung Jung: Korea Institute of Science and Technology
Sébastien Royer: Korea Institute of Science and Technology

Nature Communications, 2020, vol. 11, issue 1, 1-15

Abstract: Abstract Place cells exhibit spatially selective firing fields that collectively map the continuum of positions in environments; how such activity pattern develops with experience is largely unknown. Here, we record putative granule cells (GCs) and mossy cells (MCs) from the dentate gyrus (DG) over 27 days as mice repetitively run through a sequence of objects fixed onto a treadmill belt. We observe a progressive transformation of GC spatial representations, from a sparse encoding of object locations and spatial patterns to increasingly more single, evenly dispersed place fields, while MCs show little transformation and preferentially encode object locations. A competitive learning model of the DG reproduces GC transformations via the progressive integration of landmark-vector cells and spatial inputs and requires MC-mediated feedforward inhibition to evenly distribute GC representations, suggesting that GCs slowly encode conjunctions of objects and spatial information via competitive learning, while MCs help homogenize GC spatial representations.

Date: 2020
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DOI: 10.1038/s41467-020-18351-6

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