中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共10条,第1-10条 帮助

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The Cognitive Mechanisms of Residents under the Background of the Renewal of Suburban Historical and Cultural Villages 期刊论文  OAI收割
LAND, 2024, 卷号: 13, 期号: 9, 页码: 1465
作者:  
Li, Meng;  Wu, Tiehong
  |  收藏  |  浏览/下载:7/0  |  提交时间:2024/10/21
Effects of Long-Term Exposure to High Altitude Hypoxia on Cognitive Function and Its Mechanism: A Narrative Review 期刊论文  OAI收割
BRAIN SCIENCES, 2022, 卷号: 12, 期号: 6, 页码: 10
作者:  
Li, Yuan;  Wang, Yan
  |  收藏  |  浏览/下载:25/0  |  提交时间:2022/07/25
Chronic Kidney Disease and Cognitive Impairment: The Kidney-Brain Axis 期刊论文  OAI收割
KIDNEY DISEASES, 2022, 页码: 11
作者:  
Xie, Zuoquan;  Tong, Siyu;  Chu, Xingkun;  Feng, Teng;  Geng, Meiyu
  |  收藏  |  浏览/下载:45/0  |  提交时间:2022/08/16
Cognitive and Neural Mechanisms of Sensory-motor System' s Role in Metaphor Comprehension 期刊论文  OAI收割
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2018, 卷号: 45, 期号: 3, 页码: 325-335
作者:  
Zheng Wei-Qi;  Liu Ye;  Fu Xiao-Lan
  |  收藏  |  浏览/下载:41/0  |  提交时间:2018/05/28
Effects of adolescent social stress and antidepressant treatment on cognitive inflexibility and Bdnf epigenetic modifications in the mPFC of adult mice 期刊论文  OAI收割
PSYCHONEUROENDOCRINOLOGY, 2018, 卷号: 88, 页码: 92-101
作者:  
Xu, Hang;  Wang, Jiesi;  Zhang, Ke;  Zhao, Mei;  Ellenbroek, Bart
  |  收藏  |  浏览/下载:54/0  |  提交时间:2018/05/28
Neural Mechanisms of Reward Seeking Behavior and Cognitive Control in Individuals With Internet Addiction 期刊论文  OAI收割
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2017, 卷号: 42, 期号: 1, 页码: 32-40
作者:  
Li, Q (Li Qi);  Qi, Y (Qi Yue);  ; Tian, MQ (Tian Mo-Qian);  Zhang, K (Zhang Kan);  Liu, X (Liu Xun)
  |  收藏  |  浏览/下载:66/0  |  提交时间:2018/08/22
Cognitive and Neural Mechanisms of Implied Motion 期刊论文  OAI收割
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2015, 卷号: 42, 期号: 6, 页码: 519-532
作者:  
Li Kai-Yun;  Xu Li-Hui;  Xuan Yu-Ming;  Fu Xiao-Lan
收藏  |  浏览/下载:33/0  |  提交时间:2015/09/08
Cognitive and Neural Mechanisms of Probabilistic Category Learning 期刊论文  OAI收割
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2012, 卷号: 39, 期号: 11, 页码: 1037-1044
作者:  
Li Kai-Yun;  Fu Qiu-Fang;  Fu Xiao-Lan
收藏  |  浏览/下载:21/0  |  提交时间:2015/06/24
Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文  OAI收割
International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China
Ke H.; You W.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
The development of intelligent system which accorded with human cognitive mechanism will exert a profound influence on national defense  economy  education  culture and etc. A computer simulation method according with cognitive mechanism of human vision was proposed on the basis of Structural Decomposition Theory. Many basic shape feature information tables of similar object from different side can determine a kind of object uniquely. System weighted basic shape features in two different information tables by membership degree and then calculated similarity. The identifying object which had the maximum similarity with it in system was what we needed. The system used 83 pictures of 6 kinds of objects with different side for training and testing. The experiment results demonstrated  task of basic shape extraction  object recognition and others can be completed effectively with the method in paper. The method in paper can be a new attempt on computer simulation method according with cognitive mechanism of human vision from cognitive field. 2010 Crown Copyright.  
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:30/0  |  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.