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Spatial scheduling of electrode activation ('rastering') is essential for safely operating high-density retinal implants, yet its perceptual consequences remain poorly understood. This study systematically evaluates the impact of raster patterns, or spatial arrangements of sequential electrode activation, on performance and perceived difficulty in simulated prosthetic vision (SPV). By addressing this gap, we aimed to identify patterns that optimize functional vision in retinal implants.Sighted participants completed letter recognition and motion discrimination tasks under four raster patterns (horizontal, vertical, checkerboard, and random) using an immersive SPV system. The simulations emulated epiretinal implant perception and employed psychophysically validated models of electrode activation, phosphene appearance, nonlinear spatial summation, and temporal dynamics, ensuring realistic representation of prosthetic vision. Performance accuracy and self-reported difficulty were analyzed to assess the effects of raster patterning.The checkerboard pattern consistently outperformed other raster patterns, yielding significantly higher accuracy and lower difficulty ratings across both tasks. The horizontal and vertical patterns introduced biases aligned with apparent motion artifacts, while the checkerboard minimized such effects. Random patterns resulted in the lowest performance, underscoring the importance of structured activation. Notably, checkerboard matched performance in the 'No Raster' condition, despite conforming to groupwise safety constraints.This is the first quantitative, task-based evaluation of raster patterns in SPV. Checkerboard-style scheduling enhances perceptual clarity without increasing computational load, offering a low-overhead, clinically relevant strategy for improving usability in next-generation retinal prostheses.
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http://dx.doi.org/10.1088/1741-2552/adecc4 | DOI Listing |
Data Brief
October 2025
CSIR-National Geophysical Research Institute, CH82+G9Q, Uppal Rd, NGRI, Habsiguda, Hyderabad, Telangana 500007, India.
Indian agriculture largely depends on the timely and spatially variable availability of water resources which are replenished during the monsoon season. In the state of Telangana, a significant portion of the available water is utilized for flooded rice cultivation, both in surface water-fed command areas and in groundwater-dependent regions. The spatial extent of seasonal rice cultivation varies annually in response to water availability that is a key indicator of how farmers adapt to regional and global environmental and socio-economic changes.
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August 2025
Research Associate, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110 016, India.
Climate change has a significant impact on India's ecosystem and socioeconomic structure, particularly affecting critical sectors such as agriculture and water resources. This study examines the spatiotemporal patterns and seasonality of temperature and precipitation across India from 1981 to 2021. It also investigates trends and the severity of drought events during this period, providing crucial insights for policymakers.
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July 2025
Department of Engineering Education and Leadership, College of Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.
Discontinuous fibers are commonly added to matrix materials in additive manufacturing to enhance properties, but such benefits may be constrained by print and fiber orientation. The additive processes of forming rasters and layers in powder bed fusion inherently cause anisotropy in printed parts. Many print parameters, such as laser, temperature, and hatch pattern, influence the anisotropy of tensile properties.
View Article and Find Full Text PDFWe report on laser-induced damage behaviour in the nanosecond regime of anti-reflection coated, large aperture, ceramic Yb:YAG. Experiments were carried out to identify suitable coatings for use in large-aperture DiPOLE cryogenic laser amplifiers and involved the testing of 9 coating types from 7 different coating suppliers. Comparison between ex-situ S-on-1 and raster scan test results confirmed that, in the case of large aperture optics, the raster scan protocol provides a more accurate estimate of failure levels compared to the S-on-1 protocol.
View Article and Find Full Text PDFSingle-pixel imaging (SPI) is an advanced computational imaging technique that employs a simple bucket detector to capture object images without raster scanning. This method offers advantages such as low cost, high sensitivity, and suitability for imaging in low-light environments and specialized wavebands. However, SPI inherently suffers from a limitation in imaging speed due to the need to acquire intensity fluctuation signals under a large number of spatially modulated patterns.
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