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Adaptation to mean and variance: Interrelationships between mean and variance representations in orientation
Jinhyeok Jeong1, Sang Chul Chong2
1The Graduate Program in Cognitive Science, Yonsei University, Seoul, South Korea.
Vision Research
|January 20, 2020
Summary
The visual system efficiently processes many items using summary statistics like mean and variance. This study reveals that representations of orientation mean and variance interact, influencing each other
Area of Science:
- Visual perception
- Cognitive neuroscience
- Computational vision
Background:
- The visual system efficiently processes numerous items by representing summary statistics, such as mean and variance.
- While mean and variance representations have been studied individually, their interaction remains underexplored.
Purpose of the Study:
- To investigate the potential interaction between the visual system's representations of mean and variance.
- To determine if adaptation to one statistical property affects the perception of the other.
Main Methods:
- Utilized a visual adaptation paradigm with orientation arrays.
- Manipulated either the mean or variance of adaptor arrays while keeping the other fixed.
- Assessed participants' discrimination of test array properties after adaptation.
Main Results:
- Adaptation to orientation variance significantly influenced the sensitivity of mean orientation discrimination.
- Adaptation to mean orientation biased the discrimination of orientation variance.
- Demonstrated a significant interaction between mean and variance representations in visual processing.
Conclusions:
- Mean and variance representations in the visual system are not independent but closely interact.
- These interactions likely support the complementary roles of mean (central tendency) and variance (dispersion) in effectively summarizing complex visual information.
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