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Math Neuro

Taillefumier Lab

Departments of Mathematics/Neuroscience
College of Natural Science

May 24, 2021, Filed Under: Publications

Place-cell capacity and volatility with grid-like inputs

Citation:

Yim M, Sadun L, Fiete I, Taillefumier T. Place-cell capacity and volatility with grid-like inputs. eLife [Internet]. 10 (e62702).

Publisher’s Version

Abstract

What factors constrain the arrangement of the multiple fields of a place cell? By modeling place cells as perceptrons that act on multiscale periodic grid-cell inputs, we analytically enumerate a place cell’s repertoire – how many field arrangements it can realize without external cues while its grid inputs are unique – and derive its capacity – the spatial range over which it can achieve any field arrangement. We show that the repertoire is very large and relatively noise-robust. However, the repertoire is a vanishing fraction of all arrangements, while capacity scales only as the sum of the grid periods so field arrangements are constrained over larger distances. Thus, grid-driven place field arrangements define a large response scaffold that is strongly constrained by its structured inputs. Finally, we show that altering grid-place weights to generate an arbitrary new place field strongly affects existing arrangements, which could explain the volatility of the place code.

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