Field Visualization
Field Visualization - Related Videos
06:25
Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes
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Cited by 3 •
2024
A novel motion-based acuity test that allows the assessment of central and peripheral visual processing in low-vision and healthy individuals, along with goggles limiting peripheral vision compatible with MRI protocols, are described here. This method offers a comprehensive vision assessment for functional impairments and dysfunctions of the visual system.
11:12
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
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Cited by 20 •
2012
Patients with visual deficits after stroke report about different constraints in daily life most likely due to variable compensatory strategies, which are difficult to differentiate in clinical routine. We present a clinical set-up which allows measurement of different compensatory head- and eye-movement-strategies and evaluating their effects on driving performance.
06:02
Topographical Estimation of Visual Population Receptive Fields by fMRI
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Cited by 2 •
2015
It is important to obtain unbiased estimates of visual population receptive fields (pRFs) by functional magnetic resonance imaging. We use mild regularization constraints to estimate pRF topography without a-priori assumptions about pRF shape, allowing us to choose specific pRF models post-hoc. This is particularly advantageous in subjects with visual-pathway lesions.
10:49
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
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Cited by 3 •
2019
The efficacy of public health pesticides targeting nuisance and disease-vector insects is not uniform across different ecological zones. Here we present a system of techniques using captive vector insects as sentinels for pesticide efficacy to derive electronic maps supporting the standard evaluation of pesticides across multiple environments.
05:36
Central and Divided Visual Field Presentation of Emotional Images to Measure Hemispheric Differences in Motivated Attention
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2017
This study compared central versus divided visual field presentations of emotional images to assess differences in motivated attention between the two hemispheres. The late positive potential (LPP) was recorded using electroencephalography (EEG) and event-related potentials (ERPs) methodologies to assess motivated attention.
FAQs
The visual encoding should match the field information being examined. Arrows communicate vector direction and magnitude, contour lines connect locations with equal values, and color scales represent scalar intensity. Selecting among these elements, or combining them, allows a visualization to emphasize orientation, spatial equality, or changes in strength without treating every physical quantity as the same type of data.
Spatial arrangements in a field can expose sources, sinks, gradients, and regions of strong interaction. Arrows may show how direction and magnitude change from place to place, while contours or colors make variations in scalar intensity easier to locate. These patterns help viewers connect the visual structure of a field with the physical behavior represented by the data.
A common graphical representation provides a way to examine whether theoretical models, computational simulations, and experimental measurements show similar spatial behavior. Researchers can compare directions, strengths, equal-value regions, and gradients across these sources. Agreement in visible patterns can support a model, whereas differences can identify behavior that requires further analysis or explanation.
Begin by identifying the physical quantity and whether its important information is scalar or vector-based. Map values to an appropriate combination of arrows, contour lines, or colors, then inspect the resulting spatial patterns. The final display can be used to analyze a simulation, interpret measurements, test a theoretical model, or communicate the field clearly.
Its applications extend across electromagnetism, gravitation, and fluid dynamics, where fields may vary substantially from one region to another. Visual displays help users examine electric, magnetic, gravitational, and fluid-velocity behavior in a shared spatial framework. This broad applicability makes the technique useful for both interpreting physical systems and presenting results from different areas of physics.
A visualization can provide an immediate view of spatial variation that may be difficult to interpret from numerical values alone. It can support analysis of simulation output, interpretation of experimental measurements, evaluation of theoretical models, and communication of complex behavior. The outcome is not merely an illustration, but a structured way to inspect how field properties are distributed through space.