To elucidate the nature of the processing of visual stimulus changes, ERPs were recorded while 12 participants performed an S1-S2 matching task with multifeature stimuli. Each trial consisted of two sequentially presented stimuli (S1-S2), where S2 was either the same as S1, different from S1 only in color, different only in shape, or different in both color and shape. The four trial types were presented in random order with equal probability, and participants responded to one of these types in separate blocks. Relative to the no-change stimuli, the change stimuli elicited posterior positivity with different topography according to changing features ranging from 100 to 180 ms in all tasks. The amplitude and topography of the positivity in response to the both changes were the respective sums of those to changes in the corresponding single features. These results suggest that a feature-specific change detection system exists in the human visual system.
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http://dx.doi.org/10.1111/j.1469-8986.2005.00297.x | DOI Listing |
iScience
January 2025
Division of Optometry, Health Sciences, City University of London, London EC1V 0HB, UK.
A key property of our environment is the mirror symmetry of many objects, although symmetry is an abstract global property with no definable shape template, making symmetry identification a challenge for standard template-matching algorithms. We therefore ask whether Deep Neural Networks (DNNs) trained on typical natural environmental images develop a selectivity for symmetry similar to that of the human brain. We tested a DNN trained on such typical natural images with object-free random-dot images of 1, 2, and 4 symmetry axes.
View Article and Find Full Text PDFData Brief
February 2025
ADA University, Baku, Azerbaijan.
Advancements in sign language processing technology hinge on the availability of extensive, reliable datasets, comprehensive instructions, and adherence to ethical guidelines. To facilitate progress in gesture recognition and translation systems and to support the Azerbaijani sign language community we present the Azerbaijani Sign Language Dataset (AzSLD). This comprehensive dataset was collected from a diverse group of sign language users, encompassing a range of linguistic parameters.
View Article and Find Full Text PDFChronic Stress (Thousand Oaks)
January 2025
Brain Research and Innovation Centre, Ministry of Defence, Utrecht, the Netherlands.
Background: Trauma-focused psychotherapy is treatment of choice for post-traumatic stress disorder (PTSD). However, about half of patients do not respond. Recently, there is increased interest in brain criticality, which assesses the phase transition between order and disorder in brain activity.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Otolaryngology Head and Neck Surgery, the Second People's Hospital of Shenzhen, the First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, 518035, China.
Background: Despite advancements in medical science, the 5-year survival rate for laryngeal squamous cell carcinoma remains low, posing significant challenges in clinical management. This study explores the evolution of key topics and trends in laryngeal cancer research. Bibliometric and knowledge graph analysis are utilized to assess contributions in treating this carcinoma and to forecast emerging research hotspots that may enhance future clinical outcomes.
View Article and Find Full Text PDFHeliyon
January 2025
Environmental Energy Technologies Laboratory (EETL), Department of Physics, University of Yaounde I, P.O Box 812, Yaounde, Cameroon.
This research aims to identify wet-cooled CSP (Concentrated Solar Power) solar power plants connected to the existing electricity grid in Cameroon. This study uses a hybrid approach which combines an MDCM-AHP method (Multi-Criteria Analysis Method - Hierarchical Analysis Process) and a GIS (Geographic Information System). The elements studied are the climate (Direct Normal Irradiance (DNI), temperature), orography (slope and elevation) and location (proximity to the electricity network, proximity to roads and railways, proximity to homes), in order to determine the weight of these different factors and combine them to obtain the final map.
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