A single-cell spiking model for the origin of grid-cell patterns.
Spatial cognition in mammals is thought to rely on the activity of grid cells in the entorhinal cortex, yet the fundamental principles underlying the origin of grid-cell firing are still debated. Grid-like patterns could emerge via Hebbian learning and neuronal adaptation, but current computational...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2017-10-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC5638623?pdf=render |
| _version_ | 1818410927522840576 |
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| author | Tiziano D'Albis Richard Kempter |
| author_facet | Tiziano D'Albis Richard Kempter |
| author_sort | Tiziano D'Albis |
| collection | DOAJ |
| description | Spatial cognition in mammals is thought to rely on the activity of grid cells in the entorhinal cortex, yet the fundamental principles underlying the origin of grid-cell firing are still debated. Grid-like patterns could emerge via Hebbian learning and neuronal adaptation, but current computational models remained too abstract to allow direct confrontation with experimental data. Here, we propose a single-cell spiking model that generates grid firing fields via spike-rate adaptation and spike-timing dependent plasticity. Through rigorous mathematical analysis applicable in the linear limit, we quantitatively predict the requirements for grid-pattern formation, and we establish a direct link to classical pattern-forming systems of the Turing type. Our study lays the groundwork for biophysically-realistic models of grid-cell activity. |
| first_indexed | 2024-12-14T10:23:18Z |
| format | Article |
| id | doaj.art-c9d318d056f24b88b43550f2cc2646ff |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-14T10:23:18Z |
| publishDate | 2017-10-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-c9d318d056f24b88b43550f2cc2646ff2022-12-21T23:06:30ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582017-10-011310e100578210.1371/journal.pcbi.1005782A single-cell spiking model for the origin of grid-cell patterns.Tiziano D'AlbisRichard KempterSpatial cognition in mammals is thought to rely on the activity of grid cells in the entorhinal cortex, yet the fundamental principles underlying the origin of grid-cell firing are still debated. Grid-like patterns could emerge via Hebbian learning and neuronal adaptation, but current computational models remained too abstract to allow direct confrontation with experimental data. Here, we propose a single-cell spiking model that generates grid firing fields via spike-rate adaptation and spike-timing dependent plasticity. Through rigorous mathematical analysis applicable in the linear limit, we quantitatively predict the requirements for grid-pattern formation, and we establish a direct link to classical pattern-forming systems of the Turing type. Our study lays the groundwork for biophysically-realistic models of grid-cell activity.http://europepmc.org/articles/PMC5638623?pdf=render |
| spellingShingle | Tiziano D'Albis Richard Kempter A single-cell spiking model for the origin of grid-cell patterns. PLoS Computational Biology |
| title | A single-cell spiking model for the origin of grid-cell patterns. |
| title_full | A single-cell spiking model for the origin of grid-cell patterns. |
| title_fullStr | A single-cell spiking model for the origin of grid-cell patterns. |
| title_full_unstemmed | A single-cell spiking model for the origin of grid-cell patterns. |
| title_short | A single-cell spiking model for the origin of grid-cell patterns. |
| title_sort | single cell spiking model for the origin of grid cell patterns |
| url | http://europepmc.org/articles/PMC5638623?pdf=render |
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