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一种用于CA1锥体细胞的新的简化形态模型及其使用HippoUnit与其他模型的验证和比较。

A new reduced-morphology model for CA1 pyramidal cells and its validation and comparison with other models using HippoUnit.

作者信息

Tomko Matus, Benuskova Lubica, Jedlicka Peter

机构信息

Centre for Cognitive Science, Department of Applied Informatics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, 842 48, Bratislava, Slovakia.

ICAR3R-Interdisciplinary Centre for 3Rs in Animal Research, Faculty of Medicine, Justus-Liebig-University, Rudolf-Buchheim-Str. 6, 35392, Giessen, Germany.

出版信息

Sci Rep. 2021 Apr 7;11(1):7615. doi: 10.1038/s41598-021-87002-7.

Abstract

Modeling long-term neuronal dynamics may require running long-lasting simulations. Such simulations are computationally expensive, and therefore it is advantageous to use simplified models that sufficiently reproduce the real neuronal properties. Reducing the complexity of the neuronal dendritic tree is one option. Therefore, we have developed a new reduced-morphology model of the rat CA1 pyramidal cell which retains major dendritic branch classes. To validate our model with experimental data, we used HippoUnit, a recently established standardized test suite for CA1 pyramidal cell models. The HippoUnit allowed us to systematically evaluate the somatic and dendritic properties of the model and compare them to models publicly available in the ModelDB database. Our model reproduced (1) somatic spiking properties, (2) somatic depolarization block, (3) EPSP attenuation, (4) action potential backpropagation, and (5) synaptic integration at oblique dendrites of CA1 neurons. The overall performance of the model in these tests achieved higher biological accuracy compared to other tested models. We conclude that, due to its realistic biophysics and low morphological complexity, our model captures key physiological features of CA1 pyramidal neurons and shortens computational time, respectively. Thus, the validated reduced-morphology model can be used for computationally demanding simulations as a substitute for more complex models.

摘要

对长期神经元动力学进行建模可能需要运行持久的模拟。此类模拟计算成本高昂,因此使用能充分再现真实神经元特性的简化模型是有利的。降低神经元树突树的复杂性是一种选择。因此,我们开发了一种新的大鼠CA1锥体细胞简化形态模型,该模型保留了主要的树突分支类别。为了用实验数据验证我们的模型,我们使用了HippoUnit,这是一个最近建立的用于CA1锥体细胞模型的标准化测试套件。HippoUnit使我们能够系统地评估模型的体细胞和树突特性,并将其与ModelDB数据库中公开的模型进行比较。我们的模型再现了:(1)体细胞放电特性;(2)体细胞去极化阻滞;(3)兴奋性突触后电位衰减;(4)动作电位逆向传播;(5)CA1神经元斜向树突处的突触整合。在这些测试中,该模型的整体性能与其他测试模型相比具有更高的生物学准确性。我们得出结论,由于其逼真的生物物理学特性和较低的形态复杂性,我们的模型分别捕捉了CA1锥体细胞的关键生理特征并缩短了计算时间。因此,经过验证的简化形态模型可用于计算要求较高的模拟,以替代更复杂的模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95ad/8027802/08d8f0df6b3b/41598_2021_87002_Fig1_HTML.jpg

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