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. 2016 Feb 17;10:13. doi: 10.3389/fncom.2016.00013

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Copyright © 2016 Mulas, Waniek and Conradt.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Comparison of grid cell activity with and without stabilization mechanism for grid cell simulations with simulated data in input. The spiking activities (red dots) of representative simulated grid cells are shown in correspondence to the position of a virtual robot (gray trace) while exploring for 30 min a circular arena without (A) and with (B) realignment mechanism (gridness scores: -0.063 for A, 0.797 for B). The activation of this plasticity-based stabilization mechanism successfully anchors the neural activity of grid cells to external sensory cues. This results in a well-defined grid pattern in space over long periods of neural simulation.