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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Electrophysiological and behavioral "costs" and "benefits" during sustained visual-spatial attention
1Center for Neuroscience, University of California, Davis 95616, USA.
The International Journal of Neuroscience
|December 1, 1994
Summary
Covert spatial attention influences perception, causing slower reaction times at unattended locations. Event-related potentials (ERPs) show early benefits and late costs, impacting visual processing models.
Area of Science:
- Cognitive Neuroscience
- Visual Attention Research
- Psychophysics
Background:
- Covert spatial attention modulates sensory processing without eye movements.
- Understanding attentional costs and benefits is crucial for cognitive models.
Purpose of the Study:
- To investigate the temporal dynamics of covert spatial attention effects on reaction times and event-related potentials (ERPs).
- To examine how attention allocation (focused vs. divided) influences early sensory and later cognitive processing stages.
Main Methods:
- Recording of event-related potentials (ERPs) and reaction times (RTs) to visual stimuli in left and right hemifields.
- Manipulation of covert spatial attention conditions: left-focused, right-focused, and neutral (divided attention).
- Speeded motor responses were required to stimuli presented in both visual fields.
Main Results:
- Reaction times showed significant costs (slower responses) at unattended locations compared to the neutral condition.
- Event-related potentials demonstrated attention-related enhancements in both early (P1 component, 100-160 ms) and late processing stages.
- ERP benefits were observed in early sensory components (P1 amplitude), while ERP costs emerged later (200-280 ms).
Conclusions:
- Covert spatial attention exerts differential temporal effects, with early sensory benefits and late perceptual costs.
- Findings provide insights into the neural mechanisms underlying attentional allocation and its impact on visual processing.
- The results contribute to refining models of spatial attention by detailing the time course of attentional modulation.

