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This Brain Is a Mess: Inference, Random Graphs, and Biophysics to Disentangle Neuronal Networks

机译：这个大脑是一个混乱：推理，随机图和生物物理学到Disentangle神经元网络

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作者
Harris, Kameron Decker.;
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作者单位

University of Washington.;

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授予单位 University of Washington.;
学科
学位 Ph.D.
年度 2017
页码 169 p.
总页数 169
原文格式 PDF
正文语种 eng
中图分类 AAI10683875;
关键词
Bipartite; Graph theory; Inference; Networks; Rhythms;

机译：二分;图论;推理;网络;节奏;

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1. A cable theory based biophysical model of resistance change in crab peripheral nerve and human cerebral cortex during neuronal depolarisation: implications for electrical impedance tomography of fast neural activity in the brain. [J] . Adam Liston, Richard Bayford, David Holder Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering . 2012,第5期

机译：基于电缆理论的神经元去极化过程中蟹周围神经和人大脑皮层电阻变化的生物物理模型：对大脑中快速神经活动的电阻抗层析成像的影响。
2. Statistical inference in brain graphs using threshold‐free network‐based statistics [J] . Baggio Hugo C., Abos Alexandra, Segura Barbara, Human brain mapping . 2018,第6期

机译：使用无阈值基于网络的统计数据统计学推断
3. Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index [J] . PerazaL.R., AsgharA.U.R., GreenG., Journal of Neuroscience Methods . 2012,第2期

机译：使用相滞后指数从脑电图记录推断脑网络中的体积传导效应
4. Simulation of large neuronal networks with biophysically accurate models on graphics processors [C] . Wang Mingchao, Yan Boyuan, Hu Jingzhen, The 2011 International Joint Conference on Neural Networks . 2011

机译：在图形处理器上使用生物物理精确模型模拟大型神经网络
5. Large-Scale Neural Network Modeling: From Neuronal Microcircuits to Whole-Brain Complex Network Dynamics [D] . Liu, Qin 2018

机译：大规模神经网络建模：从神经元微电路到全脑复杂网络动力学
6. Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses [O] . Sean L. Simpson, Paul J. Laurienti -1

机译：解开脑图：关于网络和连通性分析的融合的注记
7. Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses [O] . Simpson, Sean L., Laurienti, Paul J. 2016

机译：解开脑图：关于网络与网络融合的一个注记连通性分析
8. Study of Neuronal Properties, Synaptic Plasticity and Network Interactions Usinga Computer Reconstituted Neuronal Network Derived from Fundamental Biophysical Principles [R] . Tam, D. C. 1992

机译：利用基本生物物理原理衍生的计算机重构神经网络研究神经元特性，突触可塑性和网络相互作用

This Brain Is a Mess: Inference, Random Graphs, and Biophysics to Disentangle Neuronal Networks

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