机构

• 自动化研究所 [4]
• 长春光学精密机械与物... [1]
• 心理研究所 [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [5]
• 会议论文 [1]

发表日期

• 2017 [1]
• 2016 [2]
• 2015 [2]
• 2012 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations 期刊论文  OAI收割 Systems Science & Control Engineering, 2017, 卷号: -, 期号: Issue, 页码: - 作者:  Qiao H(乔红);  L. Hu   |  收藏  |  浏览/下载：27/0  |  提交时间：2018/01/04 Computational Modeling  Biological Mechanism  Visual Cortex  Pain Prediction  Bio-inspired Model  Machine Learning  Neural Networks   Editorial: Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations 期刊论文  OAI收割 FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2016, 卷号: 10 作者:  Qiao, Hong;  Hu, Li 收藏  |  浏览/下载：49/0  |  提交时间：2017/02/14 computational modeling  biological mechanism  visual cortex  pain prediction  bio-inspired model  machine learning  neural networks   Editorial: Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations 期刊论文  OAI收割 FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2016, 卷号: 10, 期号: 0, 页码: 1-3 作者:  Qiao, Hong;  Hu, Li 收藏  |  浏览/下载：54/0  |  提交时间：2017/02/13 computational modeling  biological mechanism  visual cortex  pain prediction  bio-inspired model  machine learning  neural networks   Intelligent Line Segment Perception With Cortex-Like Mechanisms 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 12, 页码: 1522-1534 作者:  Liu, Xilong;  Cao, Zhiqiang;  Gu, Nong;  Nahavandi, Saeid;  Zhou, Chao 收藏  |  浏览/下载：27/0  |  提交时间：2016/03/19 Artificial cells  biological visual cortex  line segment perception (LSP)  self-organization   ntelligent Line Segment Perception With Cortex-Like Mechanisms 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 期号: 12, 页码: 1522-1534 作者:  Liu, Xilong   |  收藏  |  浏览/下载：30/0  |  提交时间：2018/01/05 Artificial Cells  Biological Visual Cortex  Line Segment Perception   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：40/0  |  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.