Attentional Weight
Attentional Weight - Related Videos
08:52
The Attentional Blink
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University In order for recognition of a certain stimulus to take place, visual attention needs to be directed towards said stimulus. To the earliest parts of the visual system, objects are not objects, they are collections of visual features-lines, corners, changes in texture, color, and light. Attention is the resource that is necessary for later processing in order to recognize what a given bundle of features adds up to. This makes...
09:59
Visual Attention: fMRI Investigation of Object-based Attentional Control
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel— University of Southern California The human visual system is incredibly sophisticated and capable of processing large amounts of information very quickly. However, the brain's capacity to process information is not an unlimited resource. Attention, the ability to selectively process information that is relevant to current goals and to ignore information that is not, is therefore an essential part of visual perception. Some aspects of...
09:37
Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
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Cited by 5 •
2015
Attention control comprises enhancement of target signals and attenuation of distractor signals. We describe an approach to measure separately but concurrently, the neurophysiology of attending and ignoring in sustained intermodal attention, utilizing a passive control condition during which neither process is continuously engaged.
09:31
Touchscreen Sustained Attention Task (SAT) for Rats
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Cited by 8 •
2017
Sustained attention, or continuously monitoring situations for intermittent and unpredictable events, is a critical aspect of cognition. Here we detail how to test sustained attention in rats using touchscreen operant chambers. We demonstrate comparable performance in male and female rats, making this task useful for studying attention in both sexes.
00:57
Weighted Mean
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2023
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others. For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
FAQs
These factors influence which information receives greater or lesser processing priority. Task goals direct attention toward signals relevant to the current objective, prior experience makes some inputs more influential based on learned expectations, and stimulus salience can draw attention because an input stands out. Their combined effect helps explain why the same information may influence behavior differently across situations.
In computational models, attentional weight determines how strongly sensory evidence contributes to predictions or choices. Increasing the weight of relevant evidence can make that information exert more influence, whereas reducing the weight of competing evidence limits its effect. This provides a way to connect changes in attention with observable differences in perception, learning, and decision-making behavior.
Distraction can occur when competing information receives more influence than the task requires, while biased processing can arise when attention becomes unusually narrow, diffuse, or misdirected. In each case, the imbalance changes which signals guide predictions or choices. Studying these patterns helps researchers relate attentional allocation to behavioral errors rather than treating those errors as random failures.
Researchers can examine which signals most strongly shape predictions, choices, and behavioral adjustments. Changes in attentional weight may reveal how people prioritize information as task demands or experience change, providing evidence about behavioral flexibility. This makes the concept useful for connecting selective attention with learning outcomes and with decisions made under competing or distracting information.
Behavioral research can examine how changes in attention correspond to differences in perception, learning, predictions, or choices. Researchers may focus on whether relevant information gains influence, whether competing signals are reduced, or whether distraction changes an outcome. Such analyses connect internal allocation of attention with observable behavior and help characterize flexible or biased information processing.
The concept offers a framework for describing disorders in which attention is unusually narrow, diffuse, or misdirected. These patterns can alter the influence of sensory information and contribute to errors in perception, learning, or decision-making. Comparing attentional allocation across conditions can therefore help clarify how atypical attention affects behavior and which forms of information processing are disrupted.