Expectation of a future stimulus increases the preparedness to act once it actually appears and results in reduced latency of the appropriate motor response. Real world events are uncertain both spatially and/or temporally but this uncertainty could itself be expected. In the presence of both expected spatial and temporal uncertainty, which one should be prioritized by the motor system could depend on the context. Therefore, we investigated the relative weight of expected spatial and temporal uncertainty during the preparation of a saccadic eye movement. A reaction time task was used with a variable foreperiod between a warning and an imperative visual stimuli. Expected temporal and/or spatial uncertainty associated with the stimulus was cued. We found that before imperative stimulus onset, pupil dilation increased with expected temporal uncertainty but was unaltered by spatial uncertainty. After imperative stimulus onset, both types of expected uncertainty affected saccade latency. Maximum eye velocity was modulated by expected spatial uncertainty only. In conclusion, expected temporal and spatial uncertainty do not have the same impact on preparation and execution of a motor response. There could be a prioritization of the relevant information as a function of the evolving expected uncertainty context during the task.
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http://dx.doi.org/10.1038/s41598-024-68233-w | DOI Listing |
Geosci Model Dev
November 2024
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
United States (US) background ozone (O) is the counterfactual O that would exist with zero US anthropogenic emissions. Estimates of US background O typically come from chemical transport models (CTMs), but different models vary in their estimates of both background and total O. Here, a measurement-model data fusion approach is used to estimate CTM biases in US anthropogenic O and multiple US background O sources, including natural emissions, long-range international emissions, short-range international emissions from Canada and Mexico, and stratospheric O.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Background: Air pollution is a major public health threat globally. Health studies, regulatory actions, and policy evaluations typically rely on air pollutant concentrations from single exposure models, assuming accurate estimations and ignoring related uncertainty. We developed a modeling framework, bneR, to apply the Bayesian Nonparametric Ensemble (BNE) prediction model that combines existing exposure models as inputs to provide air pollution estimates and their spatio-temporal uncertainty.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Dept. of Science Education, Ewha Womans University, Seoul 03760, South Korea. Electronic address:
Although sulfur-bearing minerals are valuable resources, they pose significant environmental risks to river ecosystems by releasing hazardous leachate. Accurately tracing these sources is crucial but challenging due to overlapping chemical signatures and pollutant transport dynamics in river systems. This study investigates seasonal and spatial variations in sulfate (SO) and trace element contributions in mining districts of the upper Nakdong River basin, South Korea.
View Article and Find Full Text PDFUnlabelled: Accurate localization of white matter pathways using diffusion MRI is critical to investigating brain connectivity, but the accuracy of current methods is not thoroughly understood. A fruitful approach to validating accuracy is to consider microscopy data that have been co-registered with MRI of post mortem samples. In this setting, structure tensor analysis is a standard approach to computing local orientations for validation.
View Article and Find Full Text PDFJ Exp Biol
January 2025
Research School of Biology, The Australian National University, 46 Sullivans Creek Road, Canberra ACT2601, Australia.
Visually navigating Myrmecia foragers approach their nest from distances up to 25 m along well-directed paths, even from locations they have never been before ( Narendra et al., 2013). However, close to the nest, they often spend some time pinpointing the nest entrance, sometimes missing it by centimetres.
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