Perceptual Template Learning
Perceptual Template Learning is a theoretical construct within perceptual learning that specifies how sensory inputs are differentially weighted and matched against internal representations to optimize discrimination performance based on experience.
16
Publications
969
Citations
42
Authors
27
Institutions
Publications per year
2017–2026
2
Parents
16
Characterizing perceptual learning with external noise
James M. Gold, A. B. Sekuler, Peter H. Bennett · Cognitive Science · 2004 · 99 citations · Full text
Medicine, Psychology, Vision Science +17
Human Pattern Recognition: Parallel Processing and Perceptual Learning
Manfred Fahle · Perception · 1994 · 92 citations
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42
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27
University of Southern California
Los Angeles, United States
2 h-index
3 publications
66 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
550 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
2 publications
179 citations

McMaster University
Hamilton, Canada
2 h-index
4 publications
358 citations

University of Rochester
Rochester, United States
1 h-index
5 publications
970 citations
Princeton University
Princeton, United States
1 h-index
1 publications
194 citations
Zero to Three
Washington, United States
1 h-index
3 publications
51 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
26 citations
1–8 of 27
3 publications · 139 citations
3
h-index
2 publications · 179 citations
2
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2 publications · 46 citations
2
h-index
1 publications · 17 citations
1
h-index
1 publications · 134 citations
1
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1–5