An Event-contrastive Connectome Network for Automatic Assessment of Individual Face Processing and Memory Ability

机译：一个与事件相反的Connectome网络，用于自动评估个人面部处理和记忆能力

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Human adapt their behaviors by continuously monitoring one another to function socially in our society. The ability to process face identity from memory is a crucial basic capability. In this work, we propose an event-contrastive connectome network (E-cCN) in representing brain's functional connectivity with contrastive loss to handle layers of fMRI data variabilities exists under different controlled stimuli events to achieve improved automatic assessing of an individual's face processing and memory ability. Our proposed connectome network achieves an overall recognition accuracy of 80.20% and 82.05% in binary classification of separating high versus low scoring subjects on tasks of Taiwanese Face Memory Test (TFMT) and component inverse efficiency score (cIE) respectively. Further, our network embedding representation demonstrate distinct connectivity patterns in key face processing brain regions (ROIs) when comparing between high and low face processing and memory ability.

机译：人类通过不断地相互监视以适应我们社会的社会功能来适应自己的行为。从内存中处理人脸身份的能力是至关重要的基本能力。在这项工作中，我们提出了一个事件对比性连接神经网络（E-cCN），该神经网络通过对比损失来表示大脑的功能连接性，以处理不同受控刺激事件下存在的fMRI数据变异性层，从而实现对个人面部处理和记忆的改进自动评估能力。我们提出的connectome网络在将台湾人脸记忆测试（TFMT）和组件逆效率得分（cIE）的任务分别分为高分和低分的主题的二元分类中，总体识别准确率达到80.20％和82.05％。此外，当比较高低面部表情处理能力和记忆能力时，我们的网络嵌入表示法在关键面部表情处理大脑区域（ROI）中展示了不同的连通性模式。

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《IEEE International Conference on Acoustics, Speech and Signal Processing》|2019年|1358-1362|共5页
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Wan-Ting Hsieh; Hao-Chun Yang; Fu-Sheng Tsai; Chon-Wen Shyi; Chi-Chun Lee;
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Face; Functional magnetic resonance imaging; Task analysis; Face recognition; Feature extraction; Psychology; Correlation;

机译：人脸;功能磁共振成像;任务分析;人脸识别;特征提取;心理学;相关性;

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机译：一种事件对比的连接网络，用于自动评估个体面部处理和内存能力
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An Event-contrastive Connectome Network for Automatic Assessment of Individual Face Processing and Memory Ability

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