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Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: A boundary vector cell model of place field repetition
Author(s): Grieves, Roddy
Duvelle, Eleonore
Dudchenko, Paul
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Keywords: place cell
boundary vector cell
computational model
border cell, field repetition
Issue Date: 31-Dec-2018
Date Deposited: 7-Feb-2018
Citation: Grieves R, Duvelle E & Dudchenko P (2018) A boundary vector cell model of place field repetition. Spatial Cognition and Computation, 18 (3), pp. 217-256.
Abstract: Hippocampal place cells are thought to form the neural substrate of a global cognitive map. However, in multicompartment mazes these cells exhibit locally repeating representations, undermining the global cognitive map view of place cells. This phenomenon appears to be related to the repetitive layout of these mazes, but still no hypothesis adequately explains it. Here, we use a boundary vector cell model of place cell firing to model the activity of place cells in numerous multicompartment environments. The activity of modelled place cells bears a striking resemblance to experimental data, replicating virtually every major experimental result. Our results support the boundary vector cell model and indicate that locally repeating place cell firing could result purely from local geometry.
DOI Link: 10.1080/13875868.2018.1437621
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is an Accepted Manuscript of an article published by Taylor & Francis Group in Spatial Cognition and Computation on 02 Mar 2018, available online:

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