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Subbarrel Patterns in Somatosensory Cortical Barrels Can Emerge from Local Dynamic Instabilities

机译:体感皮质桶中的亚桶模式可能来自局部动态不稳定性

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摘要

Complex spatial patterning, common in the brain as well as in other biological systems, can emerge as a result of dynamic interactions that occur locally within developing structures. In the rodent somatosensory cortex, groups of neurons called “barrels” correspond to individual whiskers on the contralateral face. Barrels themselves often contain subbarrels organized into one of a few characteristic patterns. Here we demonstrate that similar patterns can be simulated by means of local growth-promoting and growth-retarding interactions within the circular domains of single barrels. The model correctly predicts that larger barrels contain more spatially complex subbarrel patterns, suggesting that the development of barrels and of the patterns within them may be understood in terms of some relatively simple dynamic processes. We also simulate the full nonlinear equations to demonstrate the predictive value of our linear analysis. Finally, we show that the pattern formation is robust with respect to the geometry of the barrel by simulating patterns on a realistically shaped barrel domain. This work shows how simple pattern forming mechanisms can explain neural wiring both qualitatively and quantitatively even in complex and irregular domains.
机译:在大脑以及其他生物系统中常见的复杂空间模式,可能是由于动态相互作用在开发结构中局部发生的结果而出现的。在啮齿动物的体感皮层中,称为“桶”的神经元组对应于对侧脸上的单个胡须。枪管本身通常包含组织成一些特征模式之一的子枪管。在这里,我们证明了可以通过单个桶的圆形区域内的局部促进生长和延迟生长的相互作用来模拟相似的模式。该模型正确预测较大的枪管包含空间上更复杂的子枪管模式,这表明可以通过一些相对简单的动态过程来理解枪管及其内部模式的发展。我们还模拟了完整的非线性方程,以证明线性分析的预测价值。最后,我们通过模拟逼真的桶形区域上的图案,表明图案形成相对于桶的几何形状是鲁棒的。这项工作表明,即使在复杂和不规则域中,简单的模式形成机制也可以定性和定量地解释神经连接。

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