Related Experiment Video
Updated: Jul 7, 2026

13:00
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
Effects of feature and spatial attention on visual change detection
Motohiro Kimura1, Jun'ichi Katayama, Harumitsu Murohashi
1Graduate School of Education, Hokkaido University, Sapporo, Japan. m-kimura@edu.hokudai.ac.jp
Neuroreport
|February 28, 2008
Summary
Attention influences visual change detection. Stimulus changes can be detected even without focused feature or spatial attention, but detection can be inhibited by attention biases.
Area of Science:
- Cognitive Neuroscience
- Visual Perception
- Attention Studies
Background:
- Event-related potentials (ERPs) reveal change-related positivity (CRP) during visual S1-S2 matching tasks, indicating visual change detection.
- Attention plays a crucial role in modulating sensory processing and cognitive functions.
Purpose of the Study:
- To investigate how feature attention and spatial attention interact to affect visual change detection.
- To examine the impact of different attention conditions on the elicitation of change-related positivity.
Main Methods:
- Utilized event-related potential (ERP) recordings during a visual S1-S2 matching task.
- Manipulated attention by presenting changes in attended/unattended features at attended/unattended locations.
- Measured change-related positivity in response to changes in color and spatial frequency.
Main Results:
- Change-related positivity was elicited even when both feature and spatial attention were withdrawn.
- Change detection, as reflected by CRP, could be inhibited under specific attention conditions.
- Results suggest a biased-competition mechanism influenced by the interplay of feature and spatial attention.
Conclusions:
- Visual change detection is possible even with divided or withdrawn attention.
- The interaction between feature and spatial attention significantly impacts the efficiency and inhibition of change detection.
- Biased-competition models may explain how attention modulates stimulus change processing.
