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Related Concept Videos

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Related Experiment Video

Updated: Jun 13, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Attentional prioritizations based on spatial probabilities can be maintained on multiple moving objects.

Cary S Feria1

  • 1Department of Psychology, San Jose State University, San Jose, California 95192-0120, USA. cary.feria@sjsu.edu

Attention, Perception & Psychophysics
|May 4, 2010
PubMed
Summary
This summary is machine-generated.

Attention can track multiple moving objects, prioritizing locations based on learned probabilities and object centers. This spatial prioritization operates within an object-based reference frame, even with complex motion.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Visual Attention

Background:

  • Prior research indicates attention prioritizes frequently targeted locations.
  • The current study investigates attentional dynamics on multiple, independently moving objects.

Purpose of the Study:

  • To determine if spatial attention can be maintained on multiple independently moving objects.
  • To explore the influence of location probabilities and object features on attention to moving objects.

Main Methods:

  • Participants viewed two translating and rotating line objects with varying probe appearance probabilities.
  • Probe detection accuracy was measured across different object locations (centers and ends).
  • Experiments manipulated prior knowledge of probabilities and object complexity.

Main Results:

  • Attention within moving objects is influenced by location probabilities and biased towards object centers.
  • Observers can learn location probabilities even without explicit instruction.
  • Center bias decreases with multi-region objects, while probability effects remain consistent.
  • Two distinct attentional prioritization patterns can be maintained simultaneously on separate objects.

Conclusions:

  • Spatial attentional prioritization based on probability is possible on multiple moving objects.
  • These prioritizations appear to operate within an object-based reference frame.
  • Attention dynamically adjusts to object motion, learned probabilities, and object structure.