首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   224篇
  免费   31篇
  国内免费   202篇
  2023年   13篇
  2022年   25篇
  2021年   35篇
  2020年   25篇
  2019年   31篇
  2018年   33篇
  2017年   22篇
  2016年   22篇
  2015年   24篇
  2014年   21篇
  2013年   35篇
  2012年   17篇
  2011年   9篇
  2010年   21篇
  2009年   14篇
  2008年   12篇
  2007年   13篇
  2006年   22篇
  2005年   13篇
  2004年   8篇
  2003年   4篇
  2002年   4篇
  2001年   6篇
  2000年   3篇
  1999年   3篇
  1998年   4篇
  1997年   2篇
  1996年   4篇
  1995年   1篇
  1994年   2篇
  1993年   2篇
  1992年   2篇
  1991年   1篇
  1990年   1篇
  1989年   1篇
  1988年   1篇
  1977年   1篇
排序方式: 共有457条查询结果,搜索用时 15 毫秒
101.
伪忽视是指个体存在的轻微偏左的不对称空间注意,而视觉空间伪忽视和表征伪忽视是其两种主要表现形式。研究初期,研究者认为两种伪忽视基于相同的注意定向左偏机制,但近年来研究发现,它们存在神经机制的差异。本文主要从两种伪忽视神经机制的异同出发,梳理近期研究结果,以期增进对伪忽视的理解。未来研究可以从认知时间进程角度或设计更为完善的研究范式进一步探讨这两种伪忽视神经机制的异同。  相似文献   
102.
本研究结合fNIRS技术,考察了美术训练学生和普通学生在中国画审美一致性上的差异。行为上,虽然两组被试在审美评分上没有显著差异,但在评分一致性上,美术训练学生相比普通学生在“好看”评分上更一致。脑活动上,美术训练学生右侧颞顶联合区的16通道和24通道的神经活动一致性显著高于普通学生,且美术训练学生的神经活动一致性与“好看”评分呈负相关。本研究揭示了艺术专业知识对中国画审美的重要性,且神经活动一致性可作为中国画审美判断的一项潜在神经标记。  相似文献   
103.
人眼深度运动知觉的研究   总被引:1,自引:0,他引:1  
人类的深度运动知觉,是通过检测二维平面内的相对运动而形成的。本文在心理物理学实验基础上,揭示该机制的数学与生理学实现形式。视觉系统中存在对视平面内的相对运动敏感的神经元,构成深度运动的检测机制,产生单眼深度运动知觉与双眼深度运动知觉。在心理学上,视觉利用物体视角变化及大小知觉的恒常性判断深度运动。文中还初步讨论了人类的深度运动知觉与蜜蜂,家蝇等昆虫的深度运动知觉的区别。  相似文献   
104.
陈文熙 《心理学报》1997,30(3):250-256
大量的神经生理学实验久已证实由刺激引起的外周神经生理效应具有类似于心理物理效应的高度压缩现象。从外周神经纤维中观察到的神经脉冲频率或发生电位是描述这种压缩效应的常用方法。半个多世纪以来一部分研究人员观察到压缩效应遵守刺激强度的线性对数函数,而另一部分研究人员则观察到幂函数。这种传统实验分歧,通过笔者前时建立的刺激一效应方程,得到合理的说明和两者的统一  相似文献   
105.
106.
Driving is a highly complex task that involves the execution of multiple cognitive tasks belonging to different levels of abstraction. Traffic emerges from the interaction of a big number of agents implementing those behaviours, but until recent years, modelling it by the interaction of these agents in the so called micro-simulators was a nearly impossible task as their number grows. However, with the growing computing power it is possible to model increasingly large quantities of individual vehicles according to their individual behaviours. These models are usually composed of two sub-models for two well-defined tasks: car-following and lane-change. In the case of lane-change the literature proposes many different models, but few of them use Computational Intelligence (CI) techniques, and much less use personalization for reaching individual granularity. This study explores one of the two aspects of the lane-change called lane-change acceptance, where the driver performs or not a lane-change given his intention and the vehicle environment. We demonstrate how the lane-change acceptance of a specific driver can be learned from his lane change intention and surrounding environment in an urban scenario using CI techniques such as feed-forward Artificial Neural Network (ANN). We work with Multilayer Perceptron (MLP) and Convolutional Neural Networks (CNN) architectures. How they perform one against the other and how the different topologies affect both to the generalization of the problem and the learning process are studied.  相似文献   
107.
Hockley, Hemsworth, and Consoli (1999) Hockley, W. E., Hemsworth, D. E. and Consoli, A. 1999. Shades of the mirror effect: Recognition of faces with and without sunglasses. Memory & Cognition, 27: 128138. [Crossref], [PubMed], [Web of Science ®] [Google Scholar] found that following the study of normal faces, a recognition test of normal faces versus faces wearing sunglasses produced a mirror effect: The sunglasses manipulation decreased hit rates and increased false-alarm rates. The stimuli used by Hockley et al. (1999) Hockley, W. E., Hemsworth, D. E. and Consoli, A. 1999. Shades of the mirror effect: Recognition of faces with and without sunglasses. Memory & Cognition, 27: 128138. [Crossref], [PubMed], [Web of Science ®] [Google Scholar] consisted of separate poses of models wearing or not wearing sunglasses. In the current experiments, we separately manipulated same versus different depictions of individual faces and whether or not the faces were partially obscured. The results of a simulation and four experiments suggest that the test-based, mirror effect observed by Hockley et al. (1999) Hockley, W. E., Hemsworth, D. E. and Consoli, A. 1999. Shades of the mirror effect: Recognition of faces with and without sunglasses. Memory & Cognition, 27: 128138. [Crossref], [PubMed], [Web of Science ®] [Google Scholar] is actually two separable effects.  相似文献   
108.
A web-based software model was developed as an example for data mining in aphasiology. It is used for educating medical and engineering students. It is based upon a database of 254 aphasic patients which contains the diagnosis of the aphasia type, profiles of an aphasia test battery (Aachen Aphasia Test), and some further clinical information. In addition, the cerebral lesion profiles of 147 of these cases were standardized by transferring the coordinates of the lesions to a 3D reference brain based upon the ACPC coordinate system. Two artificial neural networks were used to perform a classification of the aphasia type. First, a coarse classification was achieved by using an assessment of spontaneous speech of the patient which produced correct results in 87% of the test cases. Data analysis tools were used to select four features of the 30 available test features to yield a more accurate diagnosis. This classifier produced correct results in 92% of the test cases. The neural network approach is similar to grouping performed in group studies, while the nearest-neighbor method shows a design more similar to case studies. It finds the neurolinguistic and the lesion data of patients whose AAT profiles are most similar to the user's input. This way lesion profiles can be compared to each other interindividually. The Aphasia Diagnoser is available on the Web address http://fuzzy.iau.dtu.dk/aphasia.nsf and thus should facilitate a discussion about the reliability and possibilities of data-mining techniques in aphasiology.  相似文献   
109.
A couple presented for genetic counseling because of an elevated maternal serum alpha fetoprotein. Ultrasound examination revealed the presence of a neural tube defect. The couple declined an amniocentesis, but chose serial ultrasound evaluations instead. Ultrasounds eventually identified microcephaly, but the couple continued to decline amniocentesis. After the child's birth, the diagnosis of 5p- syndrome was made. The couple's decision not to have an amniocentesis allowed the family their right to autonomy; however, prenatal chromosome analysis would have provided this couple with a great deal more prognostic information. We discuss the conflict between a counselor's duty to respect a client's freedom vs. duty to care for a client's welfare. We address issues of nondirective counseling and the need for more studies looking at the decision-making process in prenatal diagnosis.  相似文献   
110.
BackgroundThe Face-to-Face Still-Face (FFSF) task is a validated and commonly used observational measure of mother-infant socio-emotional interactions. With the ascendence of deep learning-based facial emotion recognition, it is possible that common complex tasks, such as the coding of FFSF videos, could be coded with a high degree of accuracy by deep neural networks (DNNs). The primary objective of this study was to test the accuracy of four DNN image classification models against the coding of infant engagement conducted by two trained independent manual raters.Methods68 mother-infant dyads completed the FFSF task at three timepoints. Two trained independent raters undertook second-by-second manual coding of infant engagement into one of four classes: 1) positive affect, 2) neutral affect, 3) object/environment engagement, and 4) negative affect.ResultsTraining four different DNN models on 40,000 images, we achieved a maximum accuracy of 99.5% on image classification of infant frames taken from recordings of the FFSF task with a maximum inter-rater reliability (Cohen's κ-value) of 0.993.LimitationsThis study inherits all sampling and experimental limitations of the original study from which the data was taken, namely a relatively small and primarily White sample.ConclusionsBased on the extremely high classification accuracy, these findings suggest that DNNs could be used to code infant engagement in FFSF recordings. DNN image classification models may also have the potential to improve the efficiency of coding all observational tasks with applications across multiple fields of human behavior research.  相似文献   
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号