[visionlist] Journal of Vision | Call for Papers | Special Issue on Advances in Perceptual Learning

[Andrew Watson]

Journal of Vision                 Special Issue 
	
Advances in Perceptual Learning 

Studies of perceptual learning have generated substantial interest in understanding the mechanisms of plasticity within perceptual systems and in the translational potential to identify and enhance interventions that improve human function. This field has also generated controversies regarding the neural substrates of perceptual learning and the factors that determine when and how the gains of perceptual learning transfer beyond the training context. In this special issue, we seek articles spanning the broad field of perceptual learning, ranging from basic experimental findings, computational models, and translational applications of perceptual learning, to review papers that present recent advances in the field and discuss the future of perceptual learning research. We are interested in submissions that address aspects of perceptual learning in all sensory modalities, research methods, and model systems.

Feature Editors:

Barbara Dosher	University of California, Irvine
Zhong-Lin Lu	Ohio State University
Elizabeth M. Quinlan	University of Maryland
Dov Sagi	Weizmann Institute of Science
Aaron Seitz	University of California, Riverside
Michael Silver	University of California, Berkeley
Preeti Verghese	Smith Kettlewell
Takeo Watanabe	Brown University
Cong Yu	Peking University

Submissions Accepted through October 1, 2019
Papers submitted to this special issue will be published individually as soon as ready.


Andrew B. Watson
Editor-in-Chief
Journal of Vision   http://journalofvision.org/





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