机构

• 心理研究所 [2]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2017 [1]
• 2015 [1]
• 2014 [1]
• 2012 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Imitating the Brain with Neurocomputer A “New” Way Towards Artificial General Intelligence 期刊论文  OAI收割 International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 520-531 作者:  Tie-Jun Huang   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/02/23 Artificial general intelligence (AGI)  neuromorphic computing  neurocomputer  brain-like intelligence  imitationalism.   Neural mechanism of facial expression perception in intellectually gifted adolescents 期刊论文  OAI收割 NEUROSCIENCE LETTERS, 2015, 卷号: 592, 期号: 0, 页码: 22-26 作者:  Liu, Tongran;  Xiao, Tong;  Li, Xiaoyan;  Shi, Jiannong 收藏  |  浏览/下载：28/0  |  提交时间：2015/09/10 General intelligence  Facial expression perception  Event-related potentials  Adolescents   Impact of Emotional Intelligence on Emotional Labor Strategy: the Mediating Effects of General Self-Efficacy and Organizational Identification 会议论文  OAI收割 Bangkok, THAILAND, JUN 13-15, 2014 作者:  Zeng, Y (Zeng, Yan);  Chen, Y (Chen, Yiwen)   |  收藏  |  浏览/下载：20/0  |  提交时间：2018/07/20 Emotional Intelligence  General Self-efficacy  Organizational Identification  Emotional Labor Strategy   Moving target detection and classification using spiking neural networks (EI CONFERENCE) 会议论文  OAI收割 2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011, October 23, 2011 - October 25, 2011, Xi'an, China 作者:  Sun H.;  Wang Z.;  Wang Z.;  Wang P.;  Sun H. 收藏  |  浏览/下载：47/0  |  提交时间：2013/03/25 We proposed a spiking neural network (SNN) to detect moving target in video streams and classify them into real categorization in this paper. The proposed SNN uses spike trains to encoding information such as the gray value of pixels or feature parameters of the target  detects moving target by simulating the visual cortex for motion detection in biological system with axonal delays and classify them into different categorizations according to their distance to categorization's centers found by Hebb learning rule. The experimental results show that the proposed SNN is promising in intelligence computation and applicable in general visual surveillance system. 2012 Springer-Verlag.