Related Experiment Video
Updated: Jun 19, 2026
03:31
End-To-End Deep Neural Network for Salient Object Detection in Complex Environments
Published on: December 15, 2023
Spatial distance between target and irrelevant patch modulates detection in a texture segmentation task
Ursula Schade1, Cristina Meinecke
1Institute of Psychology, University of Erlangen-Nürnberg, Kochstrasse 4, 91054 Erlangen, Germany. Ursula.Schade@psy.phil.uni-erlangen.de
Spatial Vision
|November 7, 2009
Summary
A distracting patch impaired target detection only at close distances. Detection performance improved with distance up to a critical point, suggesting interactions in visual processing.
Area of Science:
- Visual perception
- Cognitive psychology
- Neuroscience
Background:
- Texture segmentation relies on detecting target patches within visual scenes.
- Task-irrelevant stimuli can influence performance in visual detection tasks.
- Spatial relationships between stimuli are crucial for understanding visual processing.
Purpose of the Study:
- To investigate how a task-irrelevant patch in a backward mask affects target detection performance.
- To examine the influence of spatial distance between the target and the irrelevant patch.
- To explore the interaction between visual signals as a function of their separation.
Main Methods:
- Three texture segmentation experiments were conducted.
- Participants detected a target patch under varying conditions of a backward mask.
- The spatial distance between the target and a task-irrelevant patch was systematically manipulated.
Main Results:
- Target detection was impaired by the irrelevant patch only at small spatial distances.
- Detection performance increased linearly with increasing distance up to a critical threshold.
- Beyond this critical distance, further increases in separation did not improve performance.
Conclusions:
- Visual signals interact based on spatial proximity, impacting detection.
- A critical distance exists, potentially related to receptive field sizes in visual cortex.
- Findings support the biased competition account of visual attention and perception.
Related Concept Videos
01:05Difference from Background: Limit of Detection
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
01:15Depth Perception and Spatial Vision
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.