Our goal was to differentiate low and mid level perceptual learning. We used a complex
grating discrimination task that required observers to combine information across wide …

We compared perceptual learning in 16 psychophysical studies, ranging from low-level
spatial frequency and orientation discrimination tasks to high-level object and face …

Classification image analysis is a psychophysical technique in which noise components of
stimuli are analyzed to produce an image that reveals critical features of a task. Here we use …

Systematic measurements of perceptual learning were performed in the presence of
external or stimulus noise. In the new external noise method (Dosher, B, & Lu, Z.-L.(1997) …

Purpose: Performance for a variety of visual tasks improves with practice. Various attempts
have been made to determine the functional nature of perceptual learning. Previously, using …

We investigated the origin of two previously reported general rules of perceptual learning.
First, the initial discrimination thresholds and the amount of learning were found to be …

Perceptual learning, which improves stimulus discrimination, typically results from training
with a single stimulus condition. Two major learning mechanisms, early cortical neural …

Perceptual learning often shows substantial and long-lasting changes in the ability to
classify relevant perceptual stimuli due to practice. Specificity to trained stimuli and tasks is a …

What is learned in perceptual learning? How does perceptual learning change the
perceptual system? We investigate these questions using a systems analysis of the …

Dosher and Lu (1998)[Perceptual learning reflects external noise filtering and internal noise
reduction through channel reweighting. Proceedings of the National Academy of Sciences of …