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	Attentional resource allocation among individuals with different fluid intelligence: The integrated control hypothesis and its evidence from pupillometry 期刊论文 OAI收割 NEUROPSYCHOLOGIA, 2022, 卷号: 169, 页码: 10 作者: Lu, Runhao; Bao, Naili; Zhang, Xingli; Shi, Jiannong \| 收藏 \| 浏览/下载：49/0 \| 提交时间：2022/04/08 Attentional resource allocation Fluid intelligence Individual differences Integrated control hypothesis Pupillometry
	Tonic pupil size and its variability are associated with fluid intelligence in adolescents aged 11-14 years 期刊论文 OAI收割 PSYCH JOURNAL, 2020, 页码: 13 作者: Lu, Runhao; Zhang, Xingli; Shi, Jiannong \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2020/11/30 fluid intelligence individual differences pupil size pupil size variability
	Improving speech enhancement by focusing on smaller values using relative loss 期刊论文 OAI收割 IET SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 6, 页码: 374-384 作者: Li, Hongfeng; Xu, Yanyan; Ke, Dengfeng; Su, Kaile \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2020/09/07 speech enhancement speech intelligibility performance evaluation learning (artificial intelligence) neural nets absolute differences speech quality relative loss single-channel speech enhancement noisy speech ideal ratio mask phase-sensitive mask mean square error loss function absolute error values magnitude spectra deep learning clean speech recovery short-time objective intelligibility signal-to-distortion ratio segmental signal-to-noise ratio performance evaluation
	Mental imagery knowledge representation mode of human-level intelligence system (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, July 14, 2009 - July 16, 2009, Gold Coast, QLD, Australia 作者: Zhang D.; Zhang D. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 For the human-level intelligence simulation we should simulate it from the essence of intelligence and with the research results of brain science cognitive science artificial intelligence and others. In our study a mental imagery knowledge representation mode had been established based on cognitive mechanism of human. Two kinds of table named mental imagery concept attributes table and concept attribute value ranges table had been used together to represent mental imagery knowledge in system. Mental imagery concept attributes table which formed by the thought of concept lattice was used to decide relations among concepts and attributes under the circumstance of coarse granularity. While concept attribute value ranges table was used to record differences of individual objects belong to the same concept under the circumstance of fine granularity. The concrete structured method of tables and decision-making process of system were described in the paper. Finally the validity and feasibility of the knowledge representation mode are illustrated with real examples. 2009 Springer Berlin Heidelberg.
	静息功能磁共振信号与个体智商差异的关系学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008 作者: 宋明收藏 \| 浏览/下载：38/0 \| 提交时间：2015/09/02 静息功能磁共振功能连接默认网络个体智商差异 resting state functional MRI functional connectivity default mode network intelligence differences