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Updated: Jul 31, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
Published on: November 2, 2012
Level and mechanisms of perceptual learning: learning first-order luminance and second-order texture objects
Barbara Anne Dosher1, Zhong-Lin Lu
1Memory, Attention, and Perception (MAP) Laboratory, Department of Cognitive Sciences, Institute of Mathematical Behavioral Sciences, University of California, Irvine, 92697-5100, USA. bdosher@uci.edu
Perceptual learning enhances performance on texture-based object tasks, but not luminance-based ones. This improvement, observed in second-order tasks, involves amplifying stimuli against internal noise.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Vision Science
Background:
- Perceptual learning demonstrates neural plasticity, improving task performance through practice.
- Object orientation tasks, including first-order (luminance) and second-order (texture), are used to study perceptual learning.
- Previous research suggests attentional mechanisms influence first- and second-order motion perception.
Purpose of the Study:
- To investigate perceptual learning in first-order (luminance) and second-order (texture) object orientation tasks.
- To determine the conditions under which perceptual learning occurs for different types of visual stimuli.
- To identify the neural stages affected by perceptual learning.
Main Methods:
- Participants performed first-order and second-order object orientation tasks.
- Performance was assessed under varying external noise conditions.
- Analysis focused on practice effects and stimulus enhancement.
Main Results:
- Perceptual learning was minimal for first-order luminance tasks.
- Consistent perceptual learning occurred for second-order texture tasks, especially in low external noise.
- Learning effects were localized to later stages of visual processing (e.g., V2 and above).
Conclusions:
- Perceptual learning in second-order tasks enhances stimulus representation by amplifying signals relative to internal noise.
- The findings suggest that perceptual learning involves mechanisms similar to attention, particularly in filtering noise.
- Plasticity in later visual processing stages underlies improvements in discriminating second-order visual features.
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