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Graph-Based Models of Cortical Axons for the Prediction of Neuronal Response to Extracellular Electrical Stimulation

机译:基于图模型的皮质轴突对细胞外电刺激的神经元反应的预测。

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摘要

Over the past decade, many important insights to brain function have been obtained through clever application of detailed compartmental model neurons. New computing capabilities brought opportunities to study large networks of model neurons. Certain applications for these models, such as extracellular electrical stimulation, demand a very high degree of biological realism. While dendrites and somatic morphology may be obtained from explicit reconstructions, this approach is less useful for axonal structures, which are more difficult to characterize across a neuronal population. The purpose of this paper is to extend neuronal morphology generative models to highly branched axon terminal arbors as well as to present a clear use-case for such models in the study of cortical tissue response to externally applied electric fields. The results of this work are (i)presentation and quantitative/qualitative description of generated fibers and (ii) an extracellular electrical stimulation strength-duration study.
机译:在过去的十年中,通过巧妙地应用详细的隔室模型神经元,已经获得了许多有关脑功能的重要见解。新的计算功能为研究大型模型神经元网络带来了机会。这些模型的某些应用(例如细胞外电刺激)需要很高的生物学真实感。虽然可以从显式重建中获得树突和体细胞形态,但这种方法对轴突结构的用处较小,而轴突结构在整个神经元群体中更难以表征。本文的目的是将神经元形态学生成模型扩展到高度分支的轴突末端轴突,并为此类模型提供明确的用例,以研究皮质组织对外部施加电场的反应。这项工作的结果是(i)生成纤维的呈现和定量/定性描述,以及(ii)细胞外电刺激强度持续时间研究。

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