Modelling the emergence of whisker barrels
Brain development relies on an interplay between genetic specification and self-organization. Striking examples of this relationship can be found in the somatosensory brainstem, thalamus, and cortex of rats and mice, where the arrangement of the facial whiskers is preserved in the arrangement of cel...
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Published in | bioRxiv |
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Main Authors | , , |
Format | Paper |
Language | English |
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Cold Spring Harbor
Cold Spring Harbor Laboratory Press
29.01.2020
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Abstract | Brain development relies on an interplay between genetic specification and self-organization. Striking examples of this relationship can be found in the somatosensory brainstem, thalamus, and cortex of rats and mice, where the arrangement of the facial whiskers is preserved in the arrangement of cell aggregates to form precise somatotopic maps. We show in simulation how realistic whisker maps can self-organize, by assuming that information is exchanged between adjacent cells only, under the guidance of gene expression gradients. The resulting model provides a simple account of how patterns of gene expression can constrain spontaneous pattern formation to faithfully reproduce functional maps in subsequent brain structures. Footnotes * The normalization process in Eq. 4 has been modified to give it a more principled basis, although this does not affect the results of the simulations significantly. Simulation diagrams are updated accordingly. This revision adds a methods section describing mathematical techniques used to simulate the model described in Eqs. 1 to 4. * https://github.com/ABRG-Models/BarrelEmerge/tree/eLife_submission1 |
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AbstractList | Brain development relies on an interplay between genetic specification and self-organization. Striking examples of this relationship can be found in the somatosensory brainstem, thalamus, and cortex of rats and mice, where the arrangement of the facial whiskers is preserved in the arrangement of cell aggregates to form precise somatotopic maps. We show in simulation how realistic whisker maps can self-organize, by assuming that information is exchanged between adjacent cells only, under the guidance of gene expression gradients. The resulting model provides a simple account of how patterns of gene expression can constrain spontaneous pattern formation to faithfully reproduce functional maps in subsequent brain structures. Footnotes * The normalization process in Eq. 4 has been modified to give it a more principled basis, although this does not affect the results of the simulations significantly. Simulation diagrams are updated accordingly. This revision adds a methods section describing mathematical techniques used to simulate the model described in Eqs. 1 to 4. * https://github.com/ABRG-Models/BarrelEmerge/tree/eLife_submission1 |
Author | Krubitzer, Leah A Wilson, Stuart P James, Sebastian S |
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Copyright | 2020. This article is published under http://creativecommons.org/licenses/by-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Title | Modelling the emergence of whisker barrels |
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