NETWORK MODEL OF
PERCEPTUAL LEARNING
A model of visual
perceptual learning was devised to account for the
pattern of learning in non-stationary training
protocols. This model includes a multi-channel
early sensory processor followed by a Hebbian
learning network augmented by criterion control and
feedback.
This project was
supported jointly by the National Institutes of
Mental Health and the National Science Foundation.
PUBLICATIONS
|
2006 |
Petrov,
A., Dosher, B., & Lu, Z.-L. Perceptual learning without
feedback in non-stationary
environments: Data and model. Vision Research, 46,
3177-3197. [20 pp] [
PDF]
|
|
2005 |
Lu, Z.-L. & Dosher, B. Brain mechanisms of attention. In
Cognitive Neuroscience (translated
into Chinese),
Edited by Y.-J. Luo, J. Yang and K. Cheng.
Peking University Press, Beijing, China.
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