The strange feeling of having been somewhere or done something before--even though there is evidence to the contrary--is called déjà vu. Although déjà vu is beginning to receive attention among scientists (Brown, 2003, 2004), few studies have empirically investigated the phenomenon. We investigated the hypothesis that déjà vu is related to feelings of familiarity and that it can result from similarity between a novel scene and that of a scene experienced in one's past. We used a variation of the recognition-without-recall method of studying familiarity (Cleary, 2004) to examine instances in which participants failed to recall a studied scene in response to a configurally similar novel test scene. In such instances, resemblance to a previously viewed scene increased both feelings of familiarity and of déjà vu. Furthermore, in the absence of recall, resemblance of a novel scene to a previously viewed scene increased the probability of a reported déjà vu state for the novel scene, and feelings of familiarity with a novel scene were directly related to feelings of being in a déjà vu state.
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http://dx.doi.org/10.3758/PBR.16.6.1082 | DOI Listing |
Sci Rep
March 2025
Mathematical and Physical Sciences, Wuhan Textile University, Wuhan, China.
Remote sensing images present formidable classification challenges due to their complex spatial organization, high inter-class similarity, and significant intra-class variability. To address the balance between computational efficiency and feature extraction capability in existing methods, this paper innovatively proposes a lightweight convolutional network, STConvNeXt. In its architectural design, the model incorporates a split-based mobile convolution module with a hierarchical tree structure.
View Article and Find Full Text PDFACS Sens
March 2025
State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 610054, China.
Hydrogen detection plays a crucial role in various scenes of hydrogen energy such as hydrogen vehicles, hydrogen transportation and hydrogen storage. It is essential to develop a hydrogen detection system with ultrafast response times (<1 s) for the timely detection of hydrogen leaks. Here we report an ultrafast (0.
View Article and Find Full Text PDFIEEE Trans Image Process
March 2025
Existing localization methods commonly employ vision to perceive scene and achieve localization in GNSS-denied areas, yet they often struggle in environments with complex lighting conditions, dynamic objects or privacy-preserving areas. Humans possess the ability to describe various scenes using natural language to help others infer the location by recognizing or recalling the rich semantic information in these descriptions. Harnessing language presents a potential solution for robust localization.
View Article and Find Full Text PDFAnal Methods
March 2025
Department of Forensic Dentistry, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45, Yushima, Bunkyo-ku, Tokyo, 113-8510, Japan.
Analyzing forensically relevant body fluids contributes to proving criminal acts, and saliva is often left on the scene, especially in sexual assault cases. Currently, saliva is presumptively identified using its salivary α-amylase activity as an indicator. However, the specificity of saliva presumptive tests is low, and therefore, they cannot confidently prove the presence of saliva.
View Article and Find Full Text PDFIEEE Trans Vis Comput Graph
March 2025
Visual localization plays an important role in the applications of Augmented Reality (AR), which enable AR devices to obtain their 6-DoF pose in the pre-build map in order to render virtual content in real scenes. However, most existing approaches can not perform novel view rendering and require large storage capacities for maps. To overcome these limitations, we propose an efficient visual localization method capable of high-quality rendering with fewer parameters.
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