中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
心理研究所 [2]
长春光学精密机械与物... [1]
中国科学院大学 [1]
采集方式
OAI收割 [3]
iSwitch采集 [1]
内容类型
期刊论文 [3]
会议论文 [1]
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2019 [1]
2018 [1]
2011 [1]
2007 [1]
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Episodic reconstruction contributes to high-confidence false recognition memories in older adults: Evidence from event-related potentials
期刊论文
OAI收割
BRAIN AND COGNITION, 2019, 卷号: 132, 页码: 13-21
作者:
Zheng, Zhiwei
;
Lang, Minjia
;
Wang, Wei
;
Xiao, Fengqiu
;
Li, Juan
  |  
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2019/06/03
False recognition
Event-related potentials
Familiarity
Episodic reconstruction
Late posterior negativity
Aging
Electrophysiological evidence for the effects of emotional content on false recognition memory
期刊论文
OAI收割
COGNITION, 2018, 卷号: 179, 页码: 298-310
作者:
Zheng, Zhiwei
;
Lang, Minjia
;
Wang, Wei
;
Xiao, Fengqiu
;
Li, Juan
  |  
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2018/12/18
False Recognition
Emotion
Familiarity
Recollection
Event-related Potentials
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Dong Y.-X.
;
Zhang H.-B.
;
Li Y.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:108/0
  |  
提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system
the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms
such as adaptive background prediction detecting method. When background has dispersion-decreasing structure
the traditional target detection algorithms would be more useful. But when the background has large gray gradient
such as sea-sky-line
sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature
in our opinion
from the perspective of mathematics
the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis
the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection
its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore
the purpose of the image preprocessing is to reduce the effects from noise
also to raise the SNR of image
and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics
the median filter is used to eliminate noise
improve signal-to-noise ratio
then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line
so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Neurophysiological correlates of memory illusion in both encoding and retrieval phases
期刊论文
iSwitch采集
Brain research, 2007, 卷号: 1136, 期号: 1, 页码: 154-168
作者:
Geng, Haiyan
;
Qi, Yaqiong
;
Li, Yunfeng
;
Fan, Silu
;
Wu, Yanhong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/05/10
Memory illusion
Event-related potential
Encoding
Retrieval
False recognition