The dynamics of perceptual learning: an incremental reweighting model.
By Alexander A. Petrov, Barbara Anne Dosher, Zhonglin Lu. Psychology Review, 2005
318 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/7fce3cb2ee0c0d3be2b6e12fbf625d9a44eb59e2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Daphne Bavelier
- Alexandre Pouget
- Shawn C. Green
- Yuko Munakata
- James L. McClelland
- Philip J. Kellman
- Christine M. Massey
- C. Shawn Green
Citations in the corpus
- Perceptual Learning, Cognition, and Expertise (2013, background): “The Psychology of Learning and Motivation, First Edition, 2013, 117-165 include the fundamental idea of selection (Gibson, 1969; Petrov et al., 2005): We discover and pick up the information relevant to a task or classification, ignoring, or perhaps inhibiting (Kim, Imai, Sasaki, & Watanabe, 2012; W”
- Connectionist models of development (2003, background): “Equation 5 represents an errordriven algorithm, whereby weights change to minimize the system's error.”
- Improved probabilistic inference as a general learning mechanism with action video games (2010, background): “This proposal is closely related to a dominant idea in the field of perceptual learning by which learning occurs through template matching by reweighing the connectivity between sensory and decision stages [40-42].”