This work reports the results of both psychological and electrophysiological experiments. It was carried out on 15 normal subjects by the method of cross-correlation analysis of EEGs recorded during recognition of tachistoscopically presented images of objects. Changes in the random component Cr of the cross-correlation were larger during recognition than during simple mobilization of the subject's attention.
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http://dx.doi.org/10.1016/0013-4694(75)90147-9 | DOI Listing |
Infancy
January 2025
Institute of Child Development, University of Minnesota, Minneapolis, Minnesota, USA.
East Asians are more likely than North Americans to attend to visual scenes holistically, focusing on the relations between objects and their background rather than isolating components. This cultural difference in context sensitivity-greater attentional allocation to the background of an image or scene-has been attributed to socialization, yet it is unknown how early in development it appears, and whether it is moderated by social information. We employed eye-tracking to investigate context-sensitivity in 15-month-olds in Japan (n = 45) and the United States (n = 52).
View Article and Find Full Text PDFAnal Methods
November 2017
Centre de Recherche sur la Conservation (CRC), MNHN, Sorbonne-Universités CNRS, MCC, USR 3224, CP21, 36 rue Geoffroy Saint Hilaire, 75005 Paris, France.
Reflectance spectral imaging is a powerful tool for the non-invasive study of cultural heritage objects. Particular visible to short wave infrared (400-2500 nm) spectral features are linked to compositional information. Spectral images can hence be used to generate useful chemical maps.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430070, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430070, China. Electronic address:
Artificial intelligence-assisted imaging biosensors have attracted increasing attention due to their flexibility, allowing for the digital image analysis and quantification of biomarkers. While deep learning methods have led to advancements in biomarker identification, the diversity in the density and adherence of targets still poses a serious challenge. In this regard, we propose CellNet, a neural network model specifically designed for detecting dense targets.
View Article and Find Full Text PDFData Brief
June 2024
Joint Research Center, European Commission, Ispra, Italy.
Urban focused semantically segmented datasets (e.g. ADE20k or CoCo) have been crucial in boosting research and applications in urban areas by providing rich sources of delineated objects in Street View Images (SVI).
View Article and Find Full Text PDFSurg Radiol Anat
January 2025
Department of Anatomy, School of Medicine, Faculty of Health Sciences, National and Kapodistrian University of Athens, 75 Mikras Asias str, Goudi, Athens, 11527, Greece.
Purpose: Stereoscopic immersive virtual reality (SIVR) is a technology that fully immerses the user in a digital environment and permits the perception of two different three-dimensional images of a digital object with each of the two eyes. We conducted a literature review to explore to what extent SIVR can significantly contribute to anatomy education.
Methods: We searched PubMed, Scopus, ERIC, and the Cochrane Library for papers investigating the outcomes (effectiveness, perceptions about effectiveness, and side effects) of implementing SIVR in anatomy education.
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