Literature DB >> 34028354

Place-cell capacity and volatility with grid-like inputs.

Man Yi Yim1,2,3, Lorenzo A Sadun4, Ila R Fiete1,3, Thibaud Taillefumier1,2,4.   

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.
© 2021, Yim et al.

Entities:  

Keywords:  capacity; computational biology; grid cells; linear separability; neuroscience; none; perceptron; place cells; systems biology; volatility

Mesh:

Year:  2021        PMID: 34028354      PMCID: PMC8294848          DOI: 10.7554/eLife.62702

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  66 in total

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9.  Specific evidence of low-dimensional continuous attractor dynamics in grid cells.

Authors:  Kijung Yoon; Michael A Buice; Caswell Barry; Robin Hayman; Neil Burgess; Ila R Fiete
Journal:  Nat Neurosci       Date:  2013-07-14       Impact factor: 24.884

10.  Accurate path integration in continuous attractor network models of grid cells.

Authors:  Yoram Burak; Ila R Fiete
Journal:  PLoS Comput Biol       Date:  2009-02-20       Impact factor: 4.475

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