Visual search improves when a target is encountered repeatedly at a fixed location within a stable distractor arrangement (spatial context), compared to non-repeated contexts. The standard account attributes this contextual-cueing effect to the acquisition of display-specific long-term memories, which, when activated by the current display, cue attention to the target location. Here we present an alternative, procedural-optimization account, according to which contextual facilitation arises from the acquisition of generic oculomotor scanning strategies, optimized with respect to the entire set of displays, with frequently searched displays accruing greater weight in the optimization process. To decide between these alternatives, we examined measures of the similarity, across time-on-task, of the spatio-temporal sequences of fixations through repeated and non-repeated displays. We found scanpath similarity to increase generally with learning, but more for repeated versus non-repeated displays. This pattern contradicts display-specific guidance, but supports one-for-all scanpath optimization.
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http://dx.doi.org/10.1038/s44271-023-00019-8 | DOI Listing |
BMJ Open Ophthalmol
December 2024
Ophthalmology, Royal Hospital for Children, Glasgow, UK.
Background: Very premature infants screened for retinopathy of prematurity (ROP) that do not develop ROP still experience serious visual developmental challenges, and while it is recommended that all children in the UK are offered preschool visual screening, we aimed to explore whether this vulnerable group requires dedicated follow-up.
Methods: We performed a real-world retrospective observational cohort study of children previously screened for ROP in NHS Greater Glasgow and Clyde (Scotland) between 2013 and 2015. We excluded those with any severity of ROP identified during screening.
J Clin Med
January 2025
Department Ophthalmology, Miejskie Centrum Medyczne Jonscher, 93-113 Łódź, Poland.
Rhegmatogenous retinal detachment (RRD) is a severe condition that may lead to permanent vision loss if untreated. Pars plana vitrectomy (PPV) has become a preferred surgical intervention, particularly in complex cases. Objective: Retinal displacement (RD) following PPV for RRD can lead to visual distortions and can negatively impact patient quality of life.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Anaesthesiology and Intensive Care, Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia.
Regional anaesthesia has seen a resurgence of sorts since the widespread advent of ultrasound into clinical practice. The ability to access hitherto inaccessible nerves and fascial planes in the human body whilst ensuring visualisation of the needle tip during block performance has opened the proverbial floodgates leading to its widespread adoption, further supported by a growing body of evidence for its many benefits in a patient's perioperative journey and pain management. The concomitant advancement of technology and the development of powerful simulation and artificial intelligence tools has given a much-needed impetus towards improving training and safe practice in regional anaesthesia.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Civil Engineering and Architecture, University of Catania, 64 Santa Sofia Street, 95123 Catania, Italy.
Eye-tracking technologies are emerging in research aiming to understand the visual behavior of cyclists to improve their safety. These technologies gather real-time information to reveal what the cyclists look at and how they respond at a specific location and time. This systematic review investigates the use of eye-tracking systems to improve cyclist safety.
View Article and Find Full Text PDFNutrients
January 2025
Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates.
Background: Artificial Intelligence (AI) technologies are now essential as the agenda of nutrition research expands its scope to look at the intricate connection between food and health in both an individual and a community context. AI also helps in tracing and offering solutions in dietary assessment, personalized and clinical nutrition, as well as disease prediction and management, such as cardiovascular diseases, diabetes, cancer, and obesity. This review aims to investigate and assess the different applications and roles of AI in nutrition and research and understand its potential future impact.
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