Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions

Giannakakis Emmanouil; Han Cheol E.; Weber Bernd; Hutchings Frances; Kaiser Marcus

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Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions

机译：朝着神经网络长期行为的模拟：在人脑区内部和人脑区内部建模突触可塑性

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Simulations of neural networks can be used to study the direct effect of internal or external changes on brain dynamics. However, some changes are not immediate but occur on the timescale of weeks, months, or years. Examples include effects of strokes, surgical tissue removal, or traumatic brain injury but also gradual changes during brain development. Simulating network activity over a long time, even for a small number of nodes, is a computational challenge. Here, we model a coupled network of human brain regions with a modified Wilson-Cowan model representing dynamics for each region and with synaptic plasticity adjusting connection weights within and between regions. Using strategies ranging from different models for plasticity, vectorization and a different differential equation solver setup, we achieved one second runtime for one second biological time. (C) 2020 The Author(s). Published by Elsevier B.V.

机译：神经网络的模拟可用于研究内部或外部变化对脑动力学的直接影响。但是，一些变化并不立即，但在几周，月或年的时间内发生。实例包括中风，手术组织去除或创伤性脑损伤的影响，但在脑发育过程中也逐渐变化。在很长一段时间内模拟网络活动，即使对于少量节点，也是一个计算挑战。这里，我们利用代表每个区域的改进的Wilson-Cowan模型和突触可塑性调节区域内和区域之间的连接重量的改进的威尔逊 - 杨模型。使用从不同型号的策略进行可塑性，矢量化和不同的微分方程求解器设置，我们实现了一个第二个生物时间的第二个运行时。（c）2020提交人。由elsevier b.v出版。

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来源
《Neurocomputing》 |2020年第27期|38-44|共7页
作者
Giannakakis Emmanouil; Han Cheol E.; Weber Bernd; Hutchings Frances; Kaiser Marcus;
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作者单位

Newcastle Univ Sch Comp Interdisciplinary Comp & Complex BioSyst ICOS Grp Newcastle Upon Tyne NE4 5TG Tyne & Wear England;

Korea Univ Dept Elect & Informat Engn Sejong South Korea;

Univ Bonn Inst Expt Epileptol & Cognit Res Bonn Germany;

Newcastle Univ Sch Comp Interdisciplinary Comp & Complex BioSyst ICOS Grp Newcastle Upon Tyne NE4 5TG Tyne & Wear England;

Newcastle Univ Sch Comp Interdisciplinary Comp & Complex BioSyst ICOS Grp Newcastle Upon Tyne NE4 5TG Tyne & Wear England|Newcastle Univ Inst Neurosci Henry Wellcome Bldg Newcastle Upon Tyne NE2 4HH Tyne & Wear England|Shanghai Jiao Tong Univ Sch Med Ruijin Hosp Dept Funct Neurosurg Shanghai 200025 Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Brain simulation; Optimization; Neural mass model; Biological neural network modeling;

机译：脑仿真;优化;神经大规模模型;生物神经网络建模;

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1. Modeling of plasticity of the synaptic connections in the lamprey spinal CPG -- consequences for network behavior [J] . A. Kozlov, J. Hellgren Kotaleski, E. Aurell Neurocomputing . 2000,第期

机译：七rey树脊柱CPG中突触连接的可塑性建模-网络行为的后果
2. Modeling the connections of brain regions in children with autism using cellular neural networks and electroencephalography analysis [J] . Elham Askari, Seyed Kamaledin Setarehdan, Ali Sheikhani, Artificial intelligence in medicine . 2018,第JULa期

机译：使用细胞神经网络和脑电图分析对自闭症儿童大脑区域的连接进行建模
3. Large-scale directional connections among multi resting-state neural networks in human brain: a functional MRI and Bayesian network modeling study. [J] . Li R, Chen K, Fleisher AS, NeuroImage . 2011,第3期

机译：人脑中多个静止状态神经网络之间的大规模定向连接：功能性MRI和贝叶斯网络建模研究。
4. Realistic Modeling of Large-Scale Networks: Spatio-temporal Dynamics and Long-Term Synaptic Plasticity in the Cerebellum [C] . Egidio DAngelo, Sergio Solinas International work-conference on artificial neural networks;IWANN 2011 . 2011

机译：大型网络的现实建模：时空动力学和小脑的长期突触可塑性。
5. Mechanisms and functional implications of long-term synaptic plasticity in striatum and network plasticity in hippocampus. [D] . Singla, Sheela. 2007

机译：纹状体中长期突触可塑性和海马中网络可塑性的机制和功能含义。
6. Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study [O] . Rui Li, Kewei Chen, Adam S. Fleisher, -1

机译：人脑中多静态神经网络中的大规模定向连接：功能性MRI和贝叶斯网络建模研究
7. Large-scale directional connections among multi resting-state neural networks in human brain: A functional MRI and Bayesian network modeling study [O] . Rui Li, Kewei Chen, Adam S. Fleisher, 2011

机译：人脑中多静态神经网络中的大规模定向连接：功能性MRI和贝叶斯网络建模研究
8. Neural Networks: Structure and Repair. Part 1. Ground Squirrel Visual System. Part 2. Formation, Maintenance and Plasticity of Synaptic Connections. [R] . Lugo-Garcia, N., Kuffler, D. P., Blanco, R. E. 1994

机译：神经网络：结构和修复。第1部分。地松鼠视觉系统。第2部分：突触连接的形成，维护和可塑性。

Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions

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