Analysis of cortical connectivity using Hopfield neural network

机译：使用Hopfield神经网络分析皮质连接性

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Functional magnetic resonance imaging (fMRI) is increasingly recognized as a standard technique for brain mapping and determining the connectivity between cortical regions. Statistical approaches to determining cortical connectivity, e.g. structural equation modeling between various regions of interest in the active brain can be computationally inefficient. This study explores the utility of a Hopfield neural network to determine cortical connectivity in an fMRI data set.

机译：功能磁共振成像（fMRI）越来越多地被认为是用于进行大脑标测和确定皮层区域之间的连通性的标准技术。确定皮质连通性的统计方法，例如活跃大脑中各个感兴趣区域之间的结构方程式建模可能效率低下。这项研究探索了Hopfield神经网络在fMRI数据集中确定皮质连通性的实用性。

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《Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES)》|2003年|P.1163-1170|共8页
会议地点 Alicante(ES)
作者
S. Dixit; K. Mosier;
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作者单位

Department of Neurology, University of Medicine and Dentistry of New Jersey, 150 Bergen Street, Newark, NJ 70301, USA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生理学;
关键词
neurocomputing; neural network; functional magnetic resonance imaging; artificial neural networks; neuroinformatics;

机译：神经计算;神经网络;功能磁共振成像;人工神经网络;神经信息学;
入库时间 2022-08-26 14:29:48

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4. Analysis of cortical connectivity using Hopfield neural network [C] . S. Dixit, K. Mosier Computational Neuroscience Meeting . 2004

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5. Mathematical analysis of hopfield networks and neural networks implementation of steering controls for semilinear systems. [D] . Pandit, Purnima. 2007

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7. Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks [O] . Yi-Fei Pu, Zhang Yi, Ji-Liu Zhou 2017

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8. Analysis of the Hopfield Neural Networks and Their Application to Pattern Recognition [R] . Gerasimas, B. F. 1988

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Analysis of cortical connectivity using Hopfield neural network

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